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Tanay Mehendale

Junior Data Engineer specializing in LLM agents and RAG pipelines

Texas A&M UniversityTexas A&M UniversitySan Jose, CA3 Years ExperienceIntern LevelWorks On-Site

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About

Built and deployed “ApartmentFinder AI,” a multi-agent system using Google ADK, Gemini, and Google Maps MCP to automate apartment shortlisting and commute-time analysis, cutting a 45–70 minute user workflow down to ~30 seconds. Also has strong delivery/process chops from serving as an SDLC Release Coordinator, managing 52+ releases and reducing SDLC issues by 84%.

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Key Strengths

  • Built and deployed a multi-agent relocation/apartment shortlisting system reducing workflow from 45–70 minutes to ~30 seconds
  • Debugged agent pipeline failures on zero-shot inputs by redesigning prompts and shared session-memory JSON handoff
  • Improved agent safety/robustness by enforcing denial of vague/irrelevant requests via system prompting
  • Designed measurable AI reliability checks using EvalSets (structured prompts + expected outputs) and pytest
  • Adapted to orchestration framework limitations by re-delegating tasks across agents (custom vs pre-built tools constraint)
  • Managed 52+ SDLC releases over 2 years and reduced SDLC issues by 84% through process streamlining

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Experience

Data Engineer InternTexas A&M University · Aug 2025 – Presentinternship
Software EngineerLTIMindtree · Jan 2021 – Jun 2023

Education

Texas A&M Universitymaster, Management Information Systems (2025)
University of Mumbaibachelor, Electronics & Communications (2021)

Awards

  • Google AI Agents Intensive Hackathon

Languages

English

Certifications

AWS Certified Solutions ArchitectDataCamp Associate Data Engineer

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Connect with Tanay

Tanay already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Hire with Reval

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Tanay MehendaleJunior Data Engineer specializing in LLM agents and RAG pipelines