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omkarmense991/README.md

Hi, I'm Omkar Mense 👋

Software Engineer with a strong interest in Machine Learning Engineering, AI Systems, Recommendation Systems, and Graph-Based Learning.

Currently building production-style machine learning systems that combine:

  • Machine Learning
  • AI Applications
  • Backend Engineering
  • MLOps
  • System Design

My goal is to transition into Machine Learning Engineer / AI Engineer roles and build intelligent systems that operate at production scale.


Current Focus Areas

  • Machine Learning Engineering
  • Recommendation Systems
  • Graph Neural Networks (GNNs)
  • Retrieval & Ranking Systems
  • AI Systems Engineering
  • MLOps & Model Governance
  • FastAPI & Production ML APIs

Featured Projects

🎭 Real-Time Face Recognition & Emotion Analysis System

Production-style AI system featuring:

  • Face Detection
  • Face Recognition
  • Emotion Analysis
  • WebSocket Streaming
  • Face Tracking
  • Live Enrollment
  • FastAPI Backend
  • React Frontend
  • PostgreSQL
  • Docker
  • AWS Deployment

Key Concepts: Computer Vision, Realtime Inference, Distributed Systems, Cloud Deployment


🛡️ SentinelFlow — Fraud Detection Platform

Production-grade fraud detection platform featuring:

  • Logistic Regression
  • Random Forest
  • XGBoost
  • MLflow Experiment Tracking
  • Champion / Challenger Model Selection
  • FastAPI Inference APIs
  • PostgreSQL Logging
  • Docker Deployment
  • Graph Neural Networks (GCN, GraphSAGE)

Key Concepts: Fraud Detection, Imbalanced Learning, GNNs, MLOps, Model Governance


📈 AlphaLens — Personalized Investment Recommendation System

Building a production-grade recommendation platform focused on:

  • Content-Based Recommendations
  • Collaborative Filtering
  • Retrieval Systems
  • Ranking Systems
  • Embeddings
  • Recommendation Evaluation
  • FastAPI Serving Layer

Key Concepts: Recommendation Systems, Personalization, Retrieval, Ranking, ML System Design


Tech Stack

Languages

  • Python
  • Golang
  • SQL
  • JavaScript
  • C++

Machine Learning

  • Scikit-Learn
  • XGBoost
  • TensorFlow
  • PyTorch
  • PyTorch Geometric
  • MLflow

Backend & Infrastructure

  • FastAPI
  • PostgreSQL
  • Docker
  • REST APIs

Frontend

  • React
  • Next.js
  • TypeScript

Education

B.Tech + M.Tech (Computer Science & Engineering)

Currently Learning

  • Machine Learning Engineering
  • Recommendation Systems
  • Advanced Graph Neural Networks
  • ML System Design
  • Production AI Systems

Connect With Me


Building production-grade AI and ML systems one project at a time.

Pinned Loading

  1. alphalens-recommendation-system alphalens-recommendation-system Public

    Production-grade personalized investment recommendation system featuring retrieval, ranking, embeddings, and ML-powered asset recommendations.

    Python

  2. realtime-face-emotion-recognition realtime-face-emotion-recognition Public

    Real-time face recognition and emotion detection system using computer vision and machine learning.

    JavaScript

  3. sentinelflow-fraud-detection sentinelflow-fraud-detection Public

    Production-style Machine Learning Engineering project for financial fraud detection using traditional ML, realtime inference APIs, and graph neural networks.

    Jupyter Notebook