Hello, I'm

Somdev Das

Backend Engineer

Building scalable systems with Go, Python, and Kubernetes. Specializing in microservices architecture, cloud infrastructure, and AI-powered solutions.

About Me

I'm a backend engineer with a passion for building scalable, production-ready systems. Currently working at SentientGeeks, I specialize in designing and implementing microservices architectures, developing AI-powered solutions, and optimizing system performance.

My technical journey spans from developing high-performance APIs with Go and Python to building machine learning pipelines and deploying cloud-native applications on AWS and Kubernetes. I believe in writing clean, maintainable code that solves real-world problems efficiently.

When I'm not engineering systems, you can find me exploring new technologies, contributing to open-source projects, or solving algorithmic challenges.

1.5+ Years Experience
5+ Projects Delivered
9.2 Master's CGPA

Experience

Junior Software Engineer

SentientGeeks
Feb 2024 – Present
  • Built a Generative AI RAG Chatbot using LangChain and OpenAI API, implementing document chunking, vector embeddings, and context-aware retrieval for enterprise use cases
  • Built and trained YOLO models from scratch for MRZ detection across multiple document types (passports, Emirates IDs), integrating with Azure Document Intelligence
  • Developed a Face Recognition API for Visitor Management using Computer Vision models, serving production traffic with clean architecture principles
  • Optimized a Music Recognition platform using Flask, NumPy, and Pandas, achieving 10x performance improvement through refactored audio signal processing
  • Built scalable REST APIs using Python, FastAPI, and SQL, implementing data validation workflows and SDLC best practices
Python FastAPI LangChain YOLO Computer Vision AWS

Software Engineering Intern

SentientGeeks
Jul 2023 – Feb 2024
  • Developed Passport MRZ Detection service using Python for image preprocessing and rule-based validation, contributing to initial model training pipeline
  • Built REST APIs using Django REST Framework and contributed to frontend development with Next.js and TypeScript
  • Focused on API design patterns, database optimization, and bug fixes across the stack
Python Django Next.js TypeScript

Projects

Study Buddy (GenAI Assistant)

A Generative AI platform that processes uploaded documents to autogenerate quizzes and summaries using LLMs, vector search, and semantic embeddings.

FastAPI Next.js LangChain OpenAI Vector DB

Lung Cancer Detection

A Python-based ML prediction service for early-stage detection. Designed data ingestion pipeline, API endpoints, and model inference logic for real-time classification.

Python Machine Learning FastAPI Healthcare

Skills

Generative AI

LangChain OpenAI API RAG Pipelines Vector Databases

Computer Vision

YOLO OpenCV Azure Document Intelligence Face Recognition

Languages

Python Go JavaScript TypeScript SQL NumPy Pandas

Backend & Cloud

FastAPI Flask Django REST PostgreSQL AWS EC2 AWS S3 Docker

DevOps & Tools

Kubernetes Git CI/CD Postman VS Code

Get in Touch

I'm currently open to new opportunities and collaborations. Whether you have a question or just want to say hi, feel free to reach out!