Himanshu

I am an IIT Ropar graduate with over 5 years of professional experience working across Generative AI, backend engineering, and data platforms. I specialize in building end-to-end, production-ready systems that combine strong software engineering principles with applied AI/ML research. My work spans GenAI agents, RAG-based applications, evaluation and benchmarking frameworks, large-scale data pipelines, and high-performance APIs.

I have hands-on experience designing and deploying scalable backend systems using FastAPI, Flask, Docker, Kubernetes, and cloud platforms such as AWS and GCP. On the AI side, I have worked extensively with LLMs, prompt engineering, embeddings, NLP pipelines, deep learning models, and AI guardrails, delivering measurable improvements in accuracy, automation, and reliability.

Across my roles, I have collaborated closely with cross-functional teams, owned features from design to deployment, and driven automation through CI/CD, monitoring, and observability stacks. I enjoy solving complex problems, learning new technologies quickly, and applying them to build impactful, real-world products at scale.