Uses / Skills

Technical Skills & Evidence

Here are the technologies I use and where I've applied them.

🧠 Generative AI & LLMs

Stack: PyTorch, Hugging Face, LangChain, vLLM

Evidence:

  • Research: Molmo & Pixmo Analysis — Deep dive into VLM architectures.
  • Athena (Resume) — Multi-agent screenplay-to-video generation.
  • Agentic RAG Chatbot (Fortinet) — Reduced issue-resolution time by 70%.

👁️ Computer Vision

Stack: OpenCV, PyTorch Geometric, Diffusers, CNNs

Evidence:

  • Project: Edge Assistant — Lightweight multimodal assistant.
  • Fortinet — Deployed edge-optimized ML models via ONNX Runtime.

⚙️ MLOps & Systems

Stack: Docker, Kubernetes, FastAPI, ONNX, Redis

Evidence:

  • Project: Which-VLM Router — Semantic router for VLM endpoints.
  • Fortinet — Scaled OpenSearch pipelines to 2000+ events/sec.

🐍 Data & Core

Stack: Python, Pandas, Elasticsearch, FAISS

Evidence:

  • Ontology-based Text Classification — Improved accuracy by 10% over baselines.

💻 Hardware & Tools

  • Editor: VS Code
  • Terminal: Zsh + tmux
  • Compute: Slurm (HPC)