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senseofomar/README.md
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AI Engineer  ·  Systems Thinker  ·  RAG Specialist

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LinkedIn    Email


🚀 What I'm Building

Self-taught dev in my final year, obsessed with building AI systems that actually work in production — not just in notebooks.

  • 🔍  Designing production-grade RAG systems — focused on retrieval quality, grounding, and reliability
  • 📚  Evolving BookFriend into a scalable, API-first platform for intelligent book interaction
  • 🧪  Researching hallucination reduction, context boundaries, and LLM evaluation strategies
  • 👁️  Building FaceSense — a real-time emotion recognition pipeline bridging CV and system design

🧠 Skills & Technologies

🤖 AI, ML & Computer Vision
  • Python · PyTorch · Scikit-learn
  • OpenCV · MediaPipe · DeepFace
  • NumPy · Pandas
🔗 Generative AI & Retrieval
  • Retrieval-Augmented Generation (RAG)
  • Semantic Search · FAISS · Vector Embeddings
  • Prompt Engineering
  • Hallucination-aware grounded generation
⚙️ Backend & Data Engineering
  • FastAPI · REST APIs
  • MySQL · SQLite
  • Stateless, API-first system design
🛠️ Engineering & Tooling
  • Git · GitHub · Docker · Bash · Linux
  • Google Colab · Kaggle
  • Streamlit (prototyping & dashboards)

🛠️ Tools I Work With


Python

PyTorch

OpenCV

FastAPI

MySQL

Docker

Git

GitHub

Bash

Scikit-learn

Streamlit

Linux

💼 Featured Projects

  • BookFriend — Scalable, API-first platform for intelligent book interaction
  • FaceSense — Real-time emotion recognition pipeline bridging CV and system design

Always building. Always learning. Let's connect. 🤝

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  1. BookFriend BookFriend Public

    Context-bounded RAG backend built with FastAPI, FAISS, and SentenceTransformers. Designed for spoiler-safe, grounded AI reading assistants with multi-client support.

    Python 5

  2. FaceSense FaceSense Public

    Real-time facial emotion recognition system built with Python, OpenCV, DeepFace, and Streamlit. Features stabilized inference, session-based logging, and analytics dashboards for emotion insights.

    Python 5 1