AI/ML Engineer & Team Lead
AI/ML Engineer and Python Backend Developer experienced in AI-driven applications, backend systems, automation, data analysis, RAG pipelines, LLM applications, and AI chatbots.
Intellipaat Soft. Solu.
May 25 - Present
Led a team and handled end-to-end AI/ML and AI automation projects, including planning, task allocation, technical guidance, and delivery; developed AI-powered chatbots and LLM applications using Python, OpenAI, Gemini, LangChain, and LangGraph; built RAG pipelines with ChromaDB and FAISS; developed AI and workflow automation solutions using Python, n8n, FastAPI, and third-party API integrations; worked on agentic AI and multi-agent systems; handled client requirements, project architecture, coordination, code reviews, troubleshooting, and technical decisions.
Anv-Tech Pvt. Ltd.
Jan 23 - Apr 25
Developed high-performance backend systems and complex data models using SQL, Pandas, and NumPy; worked on data analysis, data processing, and ETL workflows; optimized production environments, resolved architecture bottlenecks, and improved system scalability.
B.E., Computer Science; specialization in Full Stack Development and Software Engineering
2019 - 2023
Developed an interactive Power BI and SQL dashboard to track customer behavior, marketing trends, and shipping cost anomalies. Analyzed and enriched complex datasets to identify regional inefficiencies, category-wise cost leakages, and performance trends, and created data-driven visual reports and actionable insights.
Developed an agentic AI and vision-aided PC automation system using Gemini LLM and Gemini Vision to process voice commands, understand Windows applications, and autonomously perform desktop tasks. Implemented mouse, keyboard, screen, UI navigation, and application control through a custom spatial grid system.
Developed an autonomous multi-agent research system using Python, LangGraph, Gemini, and ChromaDB for research across large-scale PDF and knowledge sources. Built RAG retrieval, document ingestion, chunking, embeddings, vector search, context-aware generation, citation-aware responses, and structured report generation.
Engineered an n8n-based automation pipeline for real-time sports data extraction, processing, and analysis. Built workflows for web scraping, API integration, data synchronization, event-driven triggers, scheduled workflows, notifications, transformation, validation, and orchestration.
Developed an agentic AI-powered SQL chatbot using Python, LangGraph, and FastAPI, with natural-language database interaction, multi-step intent understanding, SQL generation and execution, result processing, conversational context management, prompt engineering, and query safety mechanisms.