About Me
AI/ML Engineer with expertise in Large Language Models, Natural Language Processing, Computer Vision, and Full-Stack Development. Passionate about building intelligent systems that solve real-world problems.
Education & Experience
MS Computer Engineering — Virginia Tech
GPA: 3.68 | Relevant Courses: Machine Learning, Natural Language Processing, Computer Vision, Advanced Algorithms
Key Achievements
- Led development of AI-powered stock analysis platform with 85% accuracy
- Implemented blockchain-based trust system for secure data sharing
- Reduced database schema complexity by 40% through optimization
- Automated 70% of manual query processes at Colgate-Palmolive
- Conducted LLM safety research and red teaming exercises
Featured Projects
Sentimint AI Stock Analyzer
LLM-powered stock sentiment analysis with 85% accuracy using LangChain and GPT-3.5. Features real-time market data processing and predictive analytics.
Sentimint — multi-agent equity analyzer (LangChain, GPT-3.5); produced explainable buy/sell rationales.
Python LangChain GPT-3.5 FastAPI
Trust Drive Blockchain
Decentralized trust management system for secure data sharing. Implements smart contracts for access control and cryptographic verification.
Trust Drive — blockchain-based trust management system for secure data sharing with smart contracts.
Solidity Web3.js React IPFS
AutoUnify Platform
AI-powered data integration platform that reduced schema complexity by 40%. Features automated mapping and intelligent data transformation.
AutoUnify — AI-powered data integration platform that reduced schema complexity by 40% through optimization.
Python Machine Learning PostgreSQL Docker
Technical Skills
Programming Languages
Python TypeScript JavaScript Java C++
AI/ML & Data Science
PyTorch TensorFlow Scikit-learn Pandas NumPy OpenCV NLTK SpaCy
Frontend & Backend
React Node.js FastAPI Express.js HTML/CSS Tailwind CSS
Cloud & DevOps
AWS Azure Docker Kubernetes CI/CD Terraform
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