Projects

A collection of my recent projects showcasing expertise in data engineering, AI/ML, and full-stack development. Each project demonstrates practical applications of cutting-edge technologies to solve real-world problems.

Quantitative Trading Strategy

Machine Learning & Financial Analysis

Developed a long-short equity strategy using Random Forest and Ridge Regression models to predict stock returns. Engineered features using Fama-French 5-factor risk decomposition and technical indicators (RSI, MACD), validating performance with Purged K-Fold cross-validation.

Key Achievements:

  • Implemented Fama-French 5-factor model for risk decomposition
  • Optimized Random Forest with Purged K-Fold cross-validation
  • Engineered rolling betas and momentum indicators
  • Achieved robust out-of-sample backtesting performance
Pythonscikit-learnpandasRandom ForestRidge RegressionStatsmodels+2 more

CourseCal

AI-Powered Academic Planner

Built a comprehensive syllabus extraction tool using Google's Gemini API to parse PDF/image syllabi and generate structured course schedules. Integrated a Python backend with a React/Vite frontend for seamless calendar management and assignment tracking.

Key Achievements:

  • Automated syllabus parsing using multimodal AI (Gemini)
  • Extracts lecture times, exams, and assignment deadlines
  • Seamless React frontend for schedule visualization
  • Supports PDF, image, and text syllabus formats
ReactVitePythonGoogle Gemini APITailwind CSSREST API+1 more

ResearchRizz.com

Academic Research Discovery Platform

Engineered end-to-end data pipeline processing 6,000+ university faculty profiles through adaptive web scraping and multi-API integration, achieving 95% data accuracy across diverse institutional formats. Developed dynamic spider generation system using Google Gemini to automatically adapt to varying faculty directory structures, reducing manual configuration time by 90%.

Key Achievements:

  • 95% data accuracy across diverse institutional formats
  • 90% reduction in manual configuration time
  • 17,000+ research publications aggregated
  • 90% relevance accuracy in semantic search
PythonScrapyOpenAI GPT-4Google GeminiSentenceTransformersVector Embeddings+3 more

Smart Assistant

Conversational AI & Document Analysis

Built conversational AI assistant with advanced document analysis and real-time web search capabilities using Google Gemini and LangChain framework. Implemented Retrieval-Augmented Generation (RAG) system with ChromaDB for context-aware document querying and intelligent information retrieval.

Key Achievements:

  • Advanced document analysis capabilities
  • Real-time web search integration
  • Context-aware document querying
  • macOS calendar management automation
ReactFlaskLangChainChromaDBGoogle GeminiRAG+3 more

AI Financial Assistant

Financial Document Analysis & Voice Synthesis

Created intelligent financial document analyzer for 10-K filings and earnings call transcripts using RAG with SentenceTransformers and Google Gemini. Built conversational interface with ElevenLabs voice synthesis to explain complex financial terminology in accessible language.

Key Achievements:

  • 10-K filings and earnings call analysis
  • Voice synthesis for accessibility
  • Complex financial terminology explanation
  • RAG-powered intelligent analysis
PythonRAGSentenceTransformersGoogle GeminiElevenLabsVoice Synthesis+3 more