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Final-year B.Tech Data Science student and AI Engineer intern with hands-on experience building AI agents, RAG systems, and production-ready LLM applications. Skilled in Python-based agent workflows, tool calling, and retrieval pipelines to improve reliability and automation outcomes. Delivered autonomous voice agent and other production AI solutions with integrations across CRM and APIs. Strong background in machine learning, evaluation pipelines, and workflow automation using LangChain/LangGraph and n8n to reduce manual effort and scale decision support systems.…Final-year B.Tech Data Science student and AI Engineer intern with hands-on experience building AI agents, RAG systems, and production-ready LLM applications. Skilled in Python-based agent workflows, tool calling, and retrieval pipelines to improve reliability and automation outcomes. Delivered autonomous voice agent and other production AI solutions with integrations across CRM and APIs. Strong background in machine learning, evaluation pipelines, and workflow automation using LangChain/LangGraph and n8n to reduce manual effort and scale decision support systems.

DEEPTHY PATIL

AI Engineer, Data Scientist, Programmer, +2

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Final-year B.Tech Data Science student and AI Engineer intern with hands-on experience building AI agents, RAG systems, and production-ready LLM applications. Skilled in Python-based agent workflows, tool calling, and retrieval pipelines to improve reliability and automation outcomes. Delivered autonomous voice agent and other production AI solutions with integrations across CRM and APIs. Strong background in machine learning, evaluation pipelines, and workflow automation using LangChain/LangGraph and n8n to reduce manual effort and scale decision support systems.…Final-year B.Tech Data Science student and AI Engineer intern with hands-on experience building AI agents, RAG systems, and production-ready LLM applications. Skilled in Python-based agent workflows, tool calling, and retrieval pipelines to improve reliability and automation outcomes. Delivered autonomous voice agent and other production AI solutions with integrations across CRM and APIs. Strong background in machine learning, evaluation pipelines, and workflow automation using LangChain/LangGraph and n8n to reduce manual effort and scale decision support systems.

Available to hire

Final-year B.Tech Data Science student and AI Engineer intern with hands-on experience building AI agents, RAG systems, and production-ready LLM applications. Skilled in Python-based agent workflows, tool calling, and retrieval pipelines to improve reliability and automation outcomes.

Delivered autonomous voice agent and other production AI solutions with integrations across CRM and APIs. Strong background in machine learning, evaluation pipelines, and workflow automation using LangChain/LangGraph and n8n to reduce manual effort and scale decision support systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI Engineer Intern at Relai

May 1, 2026 - July 31, 2026

Architected and deployed a production-grade autonomous voice agent handling 300+ calls and 40+ leads daily using LLM reasoning, tool-calling, memory, and CRM-integrated workflows. Designed and implemented 5 agentic AI workflows with multi-step planning and context-aware decision logic for autonomous lead qualification and follow-up execution. Improved lead conversion rates from 3% to 7% by optimizing retrieval pipelines, conversation strategies, and decision flows. Reduced operational workload equivalent to 4 full-time sales representatives through 24/7 workflow automation, guardrails, and real-time enterprise system integration.

AI Engineer Intern at Vislona

July 1, 2025 - September 30, 2025

Developed and deployed two production AI solutions, including a resume-job matching engine and an image quality detection system, enabling automated decision support workflows. Built machine learning pipelines and API-driven automation systems that reduced manual effort and improved scalability of AI-powered applications. Collaborated with engineering teams to translate business requirements into deployable AI solutions and production-ready workflows.