Utkarsh Jain

About Utkarsh Jain

Generative AI/ML Engineer with experience in designing, developing, and deploying production-grade AI solutions using state-of-the-art Large Language Models (LLMs). Graduated from Delhi Technological University (DTU) with a major in Software Engineering. What I Do- Design and develop scalable GenAI solutions using LLMs (OpenAI, Mistral, Claude, HuggingFace)- Build scalable RAG pipelines, agentic workflows, and intelligent backend systems- Fine-tune LLMs using SFT, DPO, and integrate vector databases (FAISS, Milvus)- Ship fast, reliable, backend-integrated AI tools with Python, LangChain, and LangGraph. What Drives Me: Passionate about building the next generation of AI-native applications that are fast, reliable, and human-centric. I thrive in fast-paced, product-led teams where innovation meets execution. Current Role: As a Product Development Engineer (AI/ML), I work on GenAI solutions across various domains, including- Customer support automation - AI-powered IVR systems - Intelligent email assistants I collaborate closely with product, data, and engineering teams to transform complex challenges into modular, high-impact GenAI features.

Experience

1. Product Development Engineer (Ai Ml)

   AVIZVA

   Jul 2023 — Present · Gurugram, IN

   AI-Powered IVR and Conversational Bot Architected and developed core components of an AI-powered IVR and conversational bot system, with a strong focus on performance and scalability. Implemented an efficient caching mechanism that significantly reduced LLM invocation frequency, cutting system latency and operational costs. Built a modular, plug-and-play LLM interface enabling seamless integration, testing, and switching between multiple foundation models. Developed the Auto Assist feature, offering real-time AI support to human agents by analyzing live caller data and domain-specific context. Delivered advanced AI functionalities for call intelligence, including: • Auto Reasoning: Captured user intent and context during calls. • Auto ToDos: Automatically generated actionable task lists for agents. • Call Summarization: Produced concise, structured summaries of live conversations for post-call insights. AI-Driven Email Assistant Led the design and development of a smart email assistant that automates query resolution from incoming emails using organization-specific knowledge bases. Built a robust pipeline for automated query extraction and real-time answer generation based on evolving datasets, including policy documents and historical communications. Integrated advanced personalization to tailor responses to diverse user personas, enhancing communication relevance and impact. Introduced reusable query-answer templates to ensure consistency, improve response time, and maintain brand tone across automated replies.

Education

• Delhi Technological University (Formerly DCE)

  Bachelor of Technology - BTech

  2019 — 2023