π― Software Engineer @ Intel | π§ AI/ML Enthusiast | π MS CS @ CU Boulder
Welcome to my GitHub! I'm passionate about building scalable AI systems that solve real-world problems. With hands-on experience in multi-modal LLMs, CV, and ML pipelines, I thrive at the intersection of research and production.
- π€ Building agentic systems for chip design using CLIP, FastAPI, LLaMA3, PGVector & RAG
- π§ Developing QA chatbots with Ollama + vector DBs for internal docs
- π Automating dashboards and test pipelines with GitHub CI/CD
- 𧬠Experimenting with anomaly detection & Grad-CAMs for wafer analytics
Languages: Python, Go, SQL
Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face, Flask, LangChain
ML Tools: XGBoost, LightGBM, OpenCV, Plotly, Matplotlib, MLflow
Infra & DevOps: Docker, GitHub Actions, PostgreSQL, MongoDB, GCP, AWS SageMaker
LLMs & Multi-modal: LLaMA, Mistral, CLIP, BLIP, JAX
π§ Current Focus: Building multi-modal AI agents | Exploring LLMs + RAG | Always learning
-
π₯ MultiMod-AI-Agent: Wildfire Detection
A multi-modal reasoning agent that analyzes wildfire imagery and related documents using CLIP, RAG, and LLaMA3. -
π§Ό Face Mask Detection
Real-time computer vision model using TensorFlow + OpenCV to detect face masks. -
ποΈ Distributed eCommerce Site
A full-stack system using Flask, gRPC, MongoDB & SOAP APIs for secure, scalable transactions. -
π Virtual Stylist GAN
AI-based fashion recommender using GANs and the DeepFashion dataset. -
π² NPS Travel Blog
React-based explorer for U.S. National Parks using the NPS public API.