Shubham kumar — AI Researcher

I’m an AI/ML Engineer with 1+ year of production experience building end‑to‑end ML systems, computer vision applications, and MLOps pipelines. I thrive on taking models from notebook to production—owning the full lifecycle from data operations to cloud deployment. What I’ve built: Developed Real‑time computer vision system for a government naval aircraft carrier – monitors arrester barrier height via live camera and triggers automatic alarms for safety thresholds (Python, OpenCV). Production MLOps pipelines – automated ETL workflows reducing manual processing by 40%, with MLflow tracking, DVC versioning, CI/CD (GitHub Actions), and deployment to AWS EKS. LLM‑powered research assistant – multi‑modal agent processing 5+ URLs/documents simultaneously, with voice interaction and RAG (Streamlit, DeepSeek API). Scalable infrastructure – managed AWS EC2 for 1,000 concurrent users, led a team of 120+ annotators delivering 13,000+ labels/day at 90% accuracy. I’m passionate about MLOps, computer vision, and LLM applications. Looking for AI/ML Engineer or MLOps Engineer roles where I can help build reliable, scalable AI systems in production. Tech stack: Python, PyTorch, OpenCV, Scikit‑learn, MLflow, DVC, Docker, AWS (EC2, EKS, ECR), CI/CD, RAG, Streamlit, SQL, Power BI.

Stackforce AI infers this person is a SaaS-focused AI/ML Engineer with expertise in MLOps and computer vision.

Location: Delhi, India

Experience: 1 yr