Tanav Kolar
@tanavkolar
I build AI-powered data pipelines, agentic workflows, and scalable backend systems.
IndiaWhat I'm looking for
I've built AI systems for legal-data processing, misinformation analysis, and brand discoverability across AI answer engines. At CyrusLogic Private Limited, I architected AWS ETL pipelines that converted unstructured legal data into LLM-ready structured data at 99% data quality.
I also built RAGAS evaluation pipelines and benchmarked LLMs on legal corpora, improving retrieval accuracy by 16%. My technical documentation for system architecture, methodology, and pipeline design became the onboarding reference for subsequent engineering hires.
As a freelance developer, I've implemented Google OAuth, magic-link authentication, Firecrawl-based ingestion, and an agentic GEO pipeline that scores brand discoverability across ChatGPT, Claude, and Gemini. I contributed to the accompanying white paper.
Through Verifact and Aegis, I've developed multi-agent workflows, FastAPI APIs, GCP backend infrastructure, browser extensions, Telegram bots, voice-first interfaces, and role-based access controls. I've also placed in the top 10 at Google GenAI Exchange and a Pan-IIT AI/ML hackathon, and won the Providence Leap Ideathon.
Experience
Work history, roles, and key accomplishments
Backend Engineering/ Gen AI
Freelance developer
Jun 2026 - Present (2 months)
Integrated authentication and third-party services into the backend, including Google OAuth, magic-link flows, and Firecrawl-based web scraping. Developed an agentic pipeline to score brand discoverability across AI answer engines, contributing to an early Generative Engine Optimization system.
AI Engineering Intern
CyrusLogic Private Limited
Jun 2025 - Apr 2026 (10 months)
Architected and deployed ETL pipelines on AWS converting unstructured legal data into clean structured data for LLM consumption at 99% data quality. Built evaluation pipelines using RAGAs to test and improve retrieval quality, benchmarking LLMs on legal corpora and improving retrieval accuracy by 16%.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Bachelor of Technology, Computer Science and Engineering
Grade: 8.22/10.0
Pursuing a B.Tech. in Computer Science and Engineering with a GPA of 8.22/10.0.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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