AI Researcher & Engineer — MS Data Science @ Arizona State University
Specializing in LLMs · Generative AI · CAD Multimodal Systems · Market Microstructure
I build AI systems that sit at the intersection of research and production — from training transformer-based models and fine-tuning LLMs to designing multi-agent pipelines and analyzing high-frequency trading data.
- 🔬 Research: Spatial-aware CAD geometry-aware AI, transformer policy models, multimodal diffusion
- 🤖 LLMs & GenAI: RAG pipelines, LangChain/LangGraph agents, LoRA/PEFT fine-tuning, CAD geometry-aware generation, MCP server integration
- 📈 Quant Finance: High-frequency trading data analysis, order flow imbalance, limit order book reconstruction, market microstructure
- 🎓 Education: MS Data Science, ASU (GPA 3.78) · BS Computer Science, SRM University (GPA 3.8)
- 🌍 Location: Tempe, AZ · Open to 2026 New Grad & Internship roles ( Relocation within USA )
| Project | Description | Stack |
|---|---|---|
| MoE Stable Diffusion | Mixture-of-Experts vs Dense baseline for image generation — 30% compute reduction, 20% faster inference | PyTorch · Diffusers · CLIP · T5 |
| STaR Reasoning | Self-Taught Reasoner on GSM8K — Zero-Shot 47% → STaR 68% exact match with Llama 3.2-3B | PyTorch · HuggingFace · LangChain |
| AlphaLoop | Multi-agent LLM trading system with RL reward modeling, episodic trade memory, LoRA fine-tuning | LangGraph · PEFT · FastAPI · SQLite |
| Project | Description |
|---|---|
| HFT-Market Microstructure Analytics 🔒 | Reconstructed a live limit order book from 50,806 nanosecond-precision MBO events using vectorized q queries — OFI signals, 27 microstructure features, market making & stat arb · Private repo — message me on LinkedIn for access |
Quick implementations built to deepen understanding of specific AI techniques.
| Topic | What I Built | Stack | Repo |
|---|---|---|---|
| Email RAG | Privacy-preserving personal email Q&A — Gmail OAuth, pgvector semantic search, multi-user isolation | LangChain · pgvector · Mistral · Ollama | View |
| AI Travel Planner | LangGraph ReAct agent — weather, places, currency and expense tools with FastAPI + Streamlit | LangGraph · FastAPI · Streamlit · Groq | View |
| RecSys Benchmark | MF vs NCF vs DMF on MovieLens — RMSE, Precision, Recall comparison | Keras · TensorFlow · MovieLens | View |
AI & ML
LLMs · Transformers · RAG · LoRA/PEFT · Diffusion Models · Reinforcement Learning
Mixture-of-Experts · Multimodal AI · Fine-tuning · Model Optimization · Causal Analysis
Frameworks & Tools
PyTorch · TensorFlow · HuggingFace · LangChain · LangGraph · RLlib · OpenAI Gym
FastAPI · MLflow · Airflow · Apache Spark · Databricks · Scikit-learn
Programming
Python · KDB+/Q · SQL · R · C/C++ · Java · Bash
Cloud & Infra
AWS SageMaker · Google Cloud AI · Microsoft Azure · Docker · Git · MLOps
Arizona State University — Graduate Research Assistant (March 2025 – Present)
- Designing spatial-aware CAD generation models for geometric reasoning
- Built a 14.5M parameter transformer-based policy model for sequential parametric CAD geometry → 74% improvement in reconstruction accuracy
- Engineered image reconstruction pipelines processing 10,000+ 3D parametric models
- Optimized data workflows across 15M+ record datasets
- 🔧 Extending STaR bootstrapping to multi-step tool-use reasoning in LLM agents
- 📐 Spatial reasoning enhancements for transformer-based CAD policy models
- 📊 Adding PPO/DQN policy training loop to AlphaLoop multi-agent system
Open to research collaborations, internships, and new grad roles in AI/ML, Data Science, and Quantitative Finance.