Mumbai Metropolitan Region
Generative AI Engineer | LLMs | Prompt Engineering | Python | FastAPI I'm a Generative AI Engineer with hands-on experience in designing and developing LLM-driven solutions. I build AI Based systems powered by GPT-4/4o, LLaMA, Gemini Flash-thinking. 🔹 What I Do: Design prompt architectures for complex tasks like NL → SQL query generation. Develop and integrate RAG pipelines (Naive & Graph-based) to enhance model grounding and retrieval Build robust Python APIs using FastAPI, asynchronous tasks with Celery, and optimize backend workflows with Postgres, Redis, and Docker Deploy scalable GenAI services using Langgraph, Langchain, CrewAI, and Kubernetes 🔹 What I've Achieved: Built 50+ APIs and robust microservices used in real-time data products Reduced Hive-based data profiling time by 90% through parallel processing and async task execution via celery Engineered end-to-end LLM pipelines for enterprise-level NLP use cases Now diving deeper into multi-agent AI systems, scalable GenAI infrastructure, and open-source LLM fine-tuning. Let’s connect if you're building something bold with GenAI.
Working with Anthropic Claude Series, Building Agentic AI Solutions for Retail Businesses
Generative AI Projects LLMs, Prompt Engineering, RAG • Actively worked on cutting-edge Generative AI Projects and leveraged the power of LLMs to develop creative solutions for practical business scenarios focused specifically on converting Natural Language Questions to SQL queries. (NLP to SQL) • Implemented Multistep Prompt Architecture using Azure OpenAI GPT-3.5/4, Opensource Llama and defog/SQLCoder to develop articulate prompts for precise model responses. • RAG(Retrieval Augumented Generation) methodology implemented to provide more nuanced and context-aware output optimising model performance in real-world applications. Big Data Platforms Python, FastAPI, Airflow DAGs • Developed 50+ APIs, following best practices, code organization, documentation, and performance testing. • Managed codebases for Big Data Platforms and their microservice architectures. • Optimized Development server application performance. • Oversaw development, deployments, and debugging for microservices. • Conducted walkthroughs, documentation, and facilitated security approvals. • Contributed to efficiency, security, and success of Big Data Platforms. Developing Data Science Platforms for performing analysis on Big Data, Dockerizing Applications, Building Python APIs, Developing Proficiency Redis, PostGres DB for faster data transfers, Asynchronous Task Management systems