I am a Data and AI Engineer and an M.Tech Computer Science graduate from IIIT Hyderabad, focused on building Generative AI applications with large language models.
I work with agentic RAG pipelines, multi-agent systems, transformer fine-tuning, prompt engineering, and LLM evaluation. My core development stack includes Python, PyTorch, FastAPI, and modern retrieval systems.
I have built production-oriented AI projects involving hybrid search, vector databases, automated ingestion pipelines, model routing, and code-aware retrieval. I am experienced in measuring quality through metrics such as MRR, BLEU, faithfulness, and correctness.
I also have data engineering and deployment experience with real-time streaming, SQL, Apache Airflow, Docker, Kubernetes, AWS EKS, Redis, and CI/CD workflows.
In my current software engineering role, I build real-time industrial monitoring systems and data pipelines connecting sensors, PLCs, historians, and operator-facing dashboards.
I bring strong foundations in machine learning, NLP, data structures, algorithms, object-oriented programming, and software testing. I have solved more than 700 data structures and algorithms problems and earned a 97.14 percentile in GATE 2024 Computer Science.
