Building intelligent systems at the intersection of Artificial Intelligence, Machine Learning, and Software Engineering.
I am a Computer Science Engineering student focused on Artificial Intelligence, Machine Learning, Large Language Models, and scalable software systems.
My interests span Agentic AI, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), NLP, Data Science, and Systems Engineering. I enjoy transforming research concepts into production-ready solutions and continuously exploring emerging technologies in AI.
- Large Language Models (LLMs)
- Agentic AI & Multi-Agent Systems
- Retrieval-Augmented Generation (RAG)
- Machine Learning Engineering
- AI Research
- Scalable Backend Systems
Python • Java • JavaScript • SQL • Bash
Llama 3 • Mistral • Hugging Face • LangChain
Scikit-Learn • TensorFlow Lite • OpenCV
FAISS • LoRA • QLoRA
Pandas • NumPy • Statistical Modeling
Feature Engineering • EDA • Tableau
Linux • Redis • Git • GitHub
REST APIs • WebSockets
HTML • CSS • JavaScript • WordPress
Designed a document intelligence platform combining OCR, Vision LLMs, dense retrieval, and agent orchestration. Built a scalable architecture capable of processing complex enterprise documents through parallel AI workflows.
Developed a low-latency trading simulation system capable of processing live market data streams with millisecond-level execution pipelines, statistical alpha generation, and real-time P&L tracking.
Curated and processed a multilingual dataset containing 15,000+ samples and fine-tuned Llama-3 using QLoRA techniques for improved intent classification performance.
Built an end-to-end fraud detection pipeline achieving 98%+ AUC through advanced preprocessing, class imbalance handling, and model optimization techniques.
- Led multiple machine learning project teams
- Defined delivery standards and sprint workflows
- Standardized analytics pipelines across large intern cohorts
- Maintained 100% on-time project delivery
- Performed data analysis using Python and SQL
- Generated actionable business insights from production datasets
- Supported data-driven decision making
- Designed and deployed commercial websites
- Managed end-to-end development lifecycle
- Provided ongoing maintenance and optimization
- Google Advanced Data Analytics Professional Certificate
- Google UX Design Professional Certificate
- Google Cybersecurity Professional Certificate
- Google AI Essentials
- Meta Programming with JavaScript
- Deloitte Data Analytics Job Simulation
- Forage Data Science Job Simulation
- Microsoft Office Specialist (Excel)
- Large Language Models
- Agentic AI
- Multi-Agent Systems
- Natural Language Processing
- Retrieval-Augmented Generation
- Efficient Fine-Tuning Methods
- Applied Machine Learning
- Intelligent Information Systems
AI Engineering • Machine Learning • Research
Open Source • System Design • Problem Solving
Focused on building scalable AI systems, contributing to impactful research, and advancing intelligent technologies through engineering and innovation.