Sanket Patil
@sanketpatil7
AI Engineer building LLM agents and RAG pipelines to deliver scalable, low-latency intelligent automation.
What I'm looking for
I’m an AI Engineer with 2 years of experience building LLM agents, RAG pipelines, autonomous workflows, and scalable AI systems. I focus on retrieval systems, automation, and real-time intelligent applications that perform reliably in production.
At Bajaj Finserv, I developed enterprise-scale conversational voice calling agents to automate outbound call center operations for Personal Loans, Gold Loans, and Insurance. I designed a real-time pipeline (Speech-to-Text → LLM → Text-to-Speech), integrated multiple Azure OpenAI models, and built voice automation systems that handle thousands of calls with high accuracy and minimal latency.
I’ve also shipped automation products using Copilot Studio and enterprise search workflows—like an Autonomous Email Agent that reduced manual replies by 70% and improved SLA compliance by 40%. For retrieval-heavy experiences, I built real-time semantic search with <1.5s latency using ChromaDB + GPT-4, and delivered multi-user live interactions with FastAPI and WebSockets.
My strengths span LLM engineering (LangChain, LangGraph, LlamaIndex, guardrails, function calling), deployment and MLOps (MLflow, Docker, Kubernetes, CI/CD with GitHub Actions/Azure Pipelines), and backend development with Python, FastAPI, and REST APIs. I enjoy taking ideas from prototypes to production-grade systems with measurable impact.
Experience
Work history, roles, and key accomplishments
Developing enterprise AI calling agents to automate outbound operations for personal loans, gold loans, and insurance. Built a real-time Speech-to-Text → LLM → Text-to-Speech conversational pipeline, generating ₹660 Cr revenue and reducing ₹67 Cr call center operational costs while working on low-latency streaming LLM APIs.
AI Engineer (Equations Work)
Equations Work
Aug 2024 - Feb 2026 (1 year 6 months)
Built enterprise AI automation using Copilot Studio and Azure AI, including an autonomous email agent that reduced manual replies by 70% and improved SLA compliance by 40% via fallback escalation. Implemented a real-time semantic retrieval (RAG) system with <1.5s latency and multi-user live interactions using FastAPI and WebSockets.
Trainee Software Engineer
Equations Work
Mar 2024 - Aug 2024 (5 months)
Developed desktop and web AI applications for transcription/translation/TTS dubbing and PPT-to-video generation. Built solutions that reduced manual voiceover timelines from weeks to minutes and automated content extraction, translation, TTS generation, and video stitching.
Education
Degrees, certifications, and relevant coursework
D Y Patil College of Engineering, Pune
Bachelor of Engineering, Artificial Intelligence and Data Science
2020 - 2024
Grade: CGPA: 8.98/10
Activities and societies: Led a team in a government-backed hackathon (Rajasthan Govt + Physics Wallah). Secured 3rd rank across Pune in a technical competition conducted by Kimo.
Earned a B.E. in Artificial Intelligence and Data Science at D Y Patil College of Engineering (2020–2024), achieving CGPA 8.98/10.
Availability
Location
Authorized to work in
Job categories
Skills
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