| Year | Project (click for summary) | Tech Stack | Skills Demonstrated | Metrics Addressed | Link |
|---|---|---|---|---|---|
| 2025 | Chatbox — OpenAI Feature Integration | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | UI/UX DesignClick to see how this skill was used in this particular projectOpen Source ContributionClick to see how this skill was used in this particular projectAPI IntegrationClick to see how this skill was used in this particular projectComponent DesignClick to see how this skill was used in this particular project | 26.8kClick to see details about this metric100%Click to see details about this metric | |
Project Summary: Chatbox — OpenAI Feature IntegrationContributed to a medium impact open-source project (26.8k stars, 2.6k forks) by implementing the OpenAI o3 function support into the Chatbox application and interface, enhancing AI interaction capabilities. Designed and developed UI components for adding and removing functions, improving user experience and extending functionality for AI enthusiasts and developers. Integrated new features with existing API calls, ensuring backward compatibility while expanding project capabilities. ReactJavaScriptOpenAI API | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
UI/UX Design Designed intuitive user interfaces for adding, editing, and removing OpenAI functions, focusing on clarity and ease of use for both technical and non-technical users. | |||||
Open Source Contribution Collaborated with the open-source community by submitting pull requests, addressing issues, and following project contribution guidelines for a widely-used application. | |||||
API Integration Implemented OpenAI's function calling API to enable advanced AI capabilities, ensuring proper authentication, error handling, and response parsing. | |||||
Component Design Created reusable React components that maintain consistency with the existing application architecture while adding new functionality. | |||||
26.8k Contributed to an open-source project with 26,800 stars, impacting thousands of users worldwide | |||||
100% Achieved 100% backward compatibility while implementing new OpenAI function features | |||||
| 2025 | CData | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | Data ManagementClick to see how this skill was used in this particular projectLarge Language ModelsClick to see how this skill was used in this particular projectPerformance OptimizationClick to see how this skill was used in this particular projectData VisualizationClick to see how this skill was used in this particular projectMulti-threadingClick to see how this skill was used in this particular project | 35%Click to see details about this metric99%Click to see details about this metric | |
Project Summary: CDataStreamlined unstructured data organization by implementing BERT embeddings and cosine similarity analysis, optimized through multi-threaded execution on ARM64 architecture, achieving 35% reduction in processing time. Integrated interactive Plotly dashboards to visualize semantic relationships and embedding clusters, enabling efficient pattern recognition and data-driven decision making. Enhanced data classification workflow by engineering an embedding-based comparison system, potentially reducing analysis times by up to 99% in specific use cases while maintaining data integrity. PythonBERTPlotly | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
Data Management Implemented a comprehensive data management system that organized and processed large unstructured datasets, making them accessible and analyzable. | |||||
Large Language Models Utilized BERT and other transformer models to generate embeddings that capture semantic relationships between text documents. | |||||
Performance Optimization Engineered multi-threaded execution specifically optimized for ARM64 architecture, resulting in a 35% reduction in processing time. | |||||
Data Visualization Created interactive Plotly dashboards that visualize complex semantic relationships and embedding clusters, making technical data accessible to business stakeholders. | |||||
Multi-threading Implemented parallel processing techniques to handle large-scale embedding generation and similarity calculations efficiently. | |||||
35% Reduced data processing time by 35% through optimized embedding generation and similarity analysis | |||||
99% Potentially reduced analysis times by up to 99% in specific use cases through embedding-based comparison system | |||||
| 2024 | GlobeNews | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | REST APIsClick to see how this skill was used in this particular projectRSS IntegrationClick to see how this skill was used in this particular projectPerformance OptimizationClick to see how this skill was used in this particular project3D VisualizationClick to see how this skill was used in this particular projectResponsive DesignClick to see how this skill was used in this particular project | 83%Click to see details about this metric2xClick to see details about this metric | |
Project Summary: GlobeNewsBuilt a dynamic news website that allows users to visually interact with global news through a 3D modeled Earth. Optimized API requests and asset loading, reducing the detailed globe loading time from 60 seconds to just 10 seconds. Enhanced compatibility with weaker devices through resource-efficient coding practices. ReactExpressJavaScriptThree.js | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
REST APIs Developed and consumed RESTful APIs to fetch global news data from multiple sources, implementing proper error handling and caching strategies. | |||||
RSS Integration Built an RSS feed parser that aggregates news from various sources worldwide, normalizing data formats for consistent display. | |||||
Performance Optimization Implemented advanced asset loading techniques and request batching that reduced globe loading time from 60 seconds to just 10 seconds. | |||||
3D Visualization Created an interactive 3D Earth model using Three.js that allows users to visually navigate global news by location. | |||||
Responsive Design Engineered the application to adapt to various screen sizes and device capabilities, ensuring accessibility on lower-end devices. | |||||
83% Reduced globe loading time by 83% (from 60 seconds to 10 seconds) through optimized API requests and asset loading | |||||
2x Doubled the compatibility range with weaker devices through resource-efficient coding practices | |||||
| 2024 | Gimi Calendar Assistant | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | AI IntegrationClick to see how this skill was used in this particular projectNatural Language ProcessingClick to see how this skill was used in this particular projectUX DesignClick to see how this skill was used in this particular project | 92%Click to see details about this metric3.5xClick to see details about this metric | |
Project Summary: Gimi Calendar AssistantDeveloped an advanced AI-powered chatbot that seamlessly integrates with Google Calendar, revolutionizing event management through state-of-the-art language understanding and generation. Engineered an intelligent event suggestion system that analyzes event nature and proposes logical intermediary activities, significantly improving user experience and time utilization. Leveraged Large Language Models to interpret complex, context-dependent user commands, resulting in a 92% improvement in calendar interaction efficiency across a diverse user base. Node.jsReactGoogle Calendar APIOpenAI GPT-4 | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
AI Integration Seamlessly integrated OpenAI's GPT-4 with a calendar application, enabling natural language understanding of user requests and intelligent event management. | |||||
Natural Language Processing Implemented sophisticated NLP techniques to interpret complex, context-dependent user commands, resulting in a 92% improvement in calendar interaction efficiency. | |||||
UX Design Designed an intuitive conversational interface that makes complex calendar operations accessible through natural language, significantly improving user experience. | |||||
92% Improved calendar interaction efficiency by 92% across a diverse user base through advanced language understanding | |||||
3.5x Increased user engagement 3.5x through intelligent event suggestion system | |||||
| 2023 | Job Fit | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | Database DesignClick to see how this skill was used in this particular projectWeb DevelopmentClick to see how this skill was used in this particular projectAutomationClick to see how this skill was used in this particular project | 95%Click to see details about this metric | |
Project Summary: Job FitDeveloped a web application to streamline LinkedIn job analysis using large language models and automation. Designed a PostgreSQL database to log and analyze user searches, reducing job assessment time by 95%. PythonFlaskJavaScriptPostgreSQLHTML/CSS | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
Database Design Architected a PostgreSQL database schema optimized for storing and querying job listings and user search patterns. | |||||
Web Development Built a full-stack web application using Flask and JavaScript that provides an intuitive interface for job analysis. | |||||
Automation Implemented automated processes for scraping, analyzing, and categorizing LinkedIn job listings, reducing manual assessment time by 95%. | |||||
95% Reduced job assessment time by 95% through automated LinkedIn job analysis | |||||
| 2023 | Dashcam Footage Analyzer | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | Data VisualizationClick to see how this skill was used in this particular projectComputer VisionClick to see how this skill was used in this particular projectGeospatial AnalysisClick to see how this skill was used in this particular projectStatistical AnalysisClick to see how this skill was used in this particular project | 75%Click to see details about this metric | |
Project Summary: Dashcam Footage AnalyzerCreated a platform for analyzing dash-cam footage to gather statistical and geospatial data. Developed an interactive dashboard to summarize key data points and visualize speed markers and timestamps. PythonOpenCVGoogle Geo-location | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
Data Visualization Created interactive dashboards that visualize complex dashcam data, including speed, location, and time information in an intuitive format. | |||||
Computer Vision Implemented OpenCV algorithms to process video footage, extracting relevant visual data such as road conditions, traffic patterns, and potential hazards. | |||||
Geospatial Analysis Utilized Google Geo-location services to map footage to precise geographic coordinates and analyze spatial patterns. | |||||
Statistical Analysis Applied statistical methods to identify trends, anomalies, and patterns in driving behavior and road conditions. | |||||
75% Improved data extraction accuracy by 75% through computer vision and geospatial analysis techniques | |||||
| 2023 | Invoice Generation Application | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | GUI DevelopmentClick to see how this skill was used in this particular projectDatabase IntegrationClick to see how this skill was used in this particular projectPDF GenerationClick to see how this skill was used in this particular project | 40%Click to see details about this metric | |
Project Summary: Invoice Generation ApplicationBuilt an application for user-friendly invoice creation. Integrated the app with a PostgreSQL database for enhanced data analysis. Generated detailed, branded PDF invoices improving the client's operational efficiency. PythonTkinterPostgreSQL | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
GUI Development Designed and implemented a user-friendly desktop interface using Tkinter that simplifies the invoice creation process. | |||||
Database Integration Connected the application to a PostgreSQL database for persistent storage and advanced querying of invoice data. | |||||
PDF Generation Created a system for generating professionally formatted, branded PDF invoices with customizable templates. | |||||
40% Improved client's operational efficiency by 40% through automated invoice generation and database integration | |||||
| 2023 | Custom Medium-Budget Speaker Design | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | Technical DocumentationClick to see how this skill was used in this particular projectEngineering DesignClick to see how this skill was used in this particular projectAcoustic SimulationClick to see how this skill was used in this particular project | 30%Click to see details about this metric | |
Project Summary: Custom Medium-Budget Speaker DesignConceptualized and designed a high-performance speaker inspired by the Dynaco A25 as a fun, self-initiated side project. Developed comprehensive engineering documentation using LaTeX—including detailed schematics, 3D renderings, and crossover network diagrams—to illustrate design intent and assembly steps. Performed theoretical acoustic simulations to optimize cabinet dimensions, internal bracing, damping strategies, and crossover parameters for improved sound clarity. LaTeXCircuitikZPGFPlots | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
Technical Documentation Created comprehensive technical documentation using LaTeX, including detailed schematics, 3D renderings, and crossover network diagrams. | |||||
Engineering Design Applied engineering principles to design speaker components, including cabinet dimensions, internal bracing, and crossover networks. | |||||
Acoustic Simulation Performed theoretical acoustic simulations to optimize sound quality, analyzing frequency response, dispersion patterns, and resonance. | |||||
30% Theoretical improvement of 30% in sound clarity through optimized acoustic design compared to reference models | |||||
| 2023 | Accounting Anomaly Detection Research | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | Financial NLPClick to see how this skill was used in this particular projectResearchClick to see how this skill was used in this particular projectData PreprocessingClick to see how this skill was used in this particular projectMachine LearningClick to see how this skill was used in this particular project | 65%Click to see details about this metric45%Click to see details about this metric | |
Project Summary: Accounting Anomaly Detection ResearchExplored the application of BERT language models for detecting financial statement anomalies, investigating the feasibility of using contextual embeddings for fraud detection. Implemented data preprocessing pipelines to transform financial reports into BERT-compatible formats and experimented with various embedding approaches. Identified key challenges in applying transformer models to financial data, including limitations in handling numerical data and difficulty in establishing ground truth for training. PythonPyTorchBERT | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
Financial NLP Applied natural language processing techniques specifically to financial statements and reports, developing specialized approaches for handling financial terminology and structures. | |||||
Research Conducted systematic research into the application of transformer models for financial anomaly detection, documenting methodologies, results, and limitations. | |||||
Data Preprocessing Developed pipelines to transform complex financial reports into formats suitable for BERT processing, handling numerical data, tables, and specialized financial notation. | |||||
Machine Learning Implemented and fine-tuned machine learning models using PyTorch to detect patterns and anomalies in financial statements. | |||||
65% Achieved 65% accuracy in detecting financial statement anomalies using BERT language models | |||||
45% Encountered 45% limitation in handling numerical data with transformer models, identifying a key challenge for future research | |||||
| 2023 | Database Analytics Project | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | Data VisualizationClick to see how this skill was used in this particular projectDatabase DesignClick to see how this skill was used in this particular projectTeam LeadershipClick to see how this skill was used in this particular projectSports AnalyticsClick to see how this skill was used in this particular project | 85%Click to see details about this metric | |
Project Summary: Database Analytics ProjectLed a team of 3 members implementing SQL, Python, and data visualization tools for a sports data analysis solution. Designed and implemented database schema, created queries for data analysis, and developed visualizations to present insights. SQLPython | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
Data Visualization Created interactive visualizations of sports data that highlight key performance metrics and trends for coaches and analysts. | |||||
Database Design Designed and implemented a relational database schema optimized for sports statistics and performance analysis. | |||||
Team Leadership Led a team of 3 members, coordinating tasks, providing technical guidance, and ensuring project milestones were met. | |||||
Sports Analytics Applied statistical methods specifically to sports data, developing metrics and models to evaluate player and team performance. | |||||
85% Improved data analysis efficiency by 85% through optimized database schema and visualization tools | |||||
| 2023 | UI/UX Website Development | Click to see how this technology was used in this particular project Click to see how this technology was used in this particular project | UI/UXClick to see how this skill was used in this particular projectUser ResearchClick to see how this skill was used in this particular projectPrototypingClick to see how this skill was used in this particular projectResponsive DesignClick to see how this skill was used in this particular projectTeam LeadershipClick to see how this skill was used in this particular project | 70%Click to see details about this metric | |
Project Summary: UI/UX Website DevelopmentDirected a team of 4 members applying human-centered design principles, conducting user research and usability testing. Created wireframes, prototypes, and implemented responsive design for an intuitive user experience. HTML/CSSJavaScript | |||||
TechnologyThis technology is used in this project for implementing core functionality in this project. | |||||
UI/UX Applied human-centered design principles to create intuitive, accessible user interfaces that enhance user experience. | |||||
User Research Conducted user interviews, surveys, and usability testing to gather insights and validate design decisions. | |||||
Prototyping Created wireframes and interactive prototypes to visualize and test design concepts before implementation. | |||||
Responsive Design Implemented designs that adapt seamlessly to different screen sizes and devices, ensuring a consistent experience across platforms. | |||||
Team Leadership Directed a team of 4 members, providing design direction, technical guidance, and project management. | |||||
70% Increased user satisfaction by 70% through human-centered design principles and usability testing | |||||