About
Results-driven Generative AI Engineer and Python Backend Developer with 3+ years of experience designing, building, and deploying scalable AI-powered applications, enterprise-grade backend systems, and high-performance APIs. Experienced in developing production-ready solutions using Python, FastAPI, REST APIs, microservices, cloud platforms, and modern software engineering practices. Hands-on experience building end-to-end Generative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Agentic Workflows, Prompt Engineering, Function Calling, Tool Integration, Semantic Search, Hybrid Search, and LLM Evaluation frameworks. Skilled in designing and implementing document ingestion pipelines, data preprocessing workflows, chunking strategies, embedding generation, vector search, and knowledge retrieval systems for enterprise AI applications. Proficient in GenAI technologies and frameworks including LangChain, LangGraph, OpenAI APIs, Azure OpenAI, Google Gemini, Hugging Face Transformers, Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate), NLP, Embedding Models, Reranking Models, AI Orchestration, Multi-Agent Systems, and Conversational AI. Experienced in developing AI-powered assistants, document intelligence platforms, question-answering systems, and automated workflow solutions. Strong backend and database expertise with RDBMS technologies, schema design, stored procedures, triggers, complex SQL development, data validation frameworks, and API integrations. Experienced in building scalable data ingestion pipelines, implementing fault-tolerant logging and monitoring systems, conducting root cause analysis, and optimizing application performance. Skilled in AWS services, Docker, CI/CD pipelines, testing, deployment automation, observability, and MLOps practices. Passionate about building intelligent, scalable, and production-ready AI systems that combine Generative AI, machine learning, and robust backend engineering to deliver measurable business impact and operational efficiency.
Work experience
Generative AI Engineer at Polynomial.AI, May 2026 - Present · 6 mos, Bengaluru, Karnataka, India
Software Engineer at Inovaantage, Jun 2024 - Apr 2026 · 1 yr 11 mos, Singapore, Hyderabad
Software Engineer Intern at Inovaantage, May 2023 - May 2024 · 1 yr 1 mo, Hyderabad India, - Designed and optimized Oracle PL/SQL triggers, stored procedures, and validation routines, improving database consistency and reducing latency by 25%. - Developed RESTful APIs for backend–iOS communication, improving synchronization and system reliability. - Implemented unit and integration testing using PyTest and Postman, reducing QA validation effort by 20%. - Collaborated with QA and DevOps teams using Jira and HP ALM for RCA documentation and sprint planning. - Supported production deployments, version control, and database migrations, ensuring rollback safety and stability.
