Manojkumar M Hegde

I’m a full-stack software engineer who builds AI-augmented, end-to-end systems where GitHub Copilot, Claude Code, ChatGPT, and Codex are part of my daily workflow for code generation, exploration, review, and documentation. I’m comfortable across the stack: Python/FastAPI backends with Celery, Redis, and PostgreSQL; React/Redux with TypeScript on the frontend; and LangGraph-based LLM agents with structured tool calling.

I ship solo, end to end, on Docker and GitHub Actions CI/CD, and I communicate clearly with both engineering and non-technical stakeholders. In my recent internship at Nano Stream Technologies, I built and debugged a production admin dashboard (React) integrated with a Java Spring Boot + MySQL backend, and I implemented JWT authentication and RBAC with AWS S3 for reliable, secure data storage. On my projects, I designed and operated a Clean Architecture backend for order/inventory with async task processing (Redis + Celery) and production defect debugging, delivered an AI healthcare-operator agent platform using LangGraph + Groq with 6 Pydantic-typed tools, and built an AWS-deployed ETL pipeline with fault-tolerant checkpointing to protect data integrity. I’ve also co-authored an IEEE CICCS 2025 paper on a YOLOv8 + DeepSORT workforce monitoring system for factory environments.