Atharva Kate
@atharvakate
AI engineer specializing in production GenAI—LLMs, RAG, multi-agent systems, and LLM pipeline reliability.
IndiaWhat I'm looking for
I’m an AI engineer with 1.5+ years of experience developing and deploying Generative AI solutions, focused on Large Language Models, RAG systems, and multi-agent workflows. I build reliable LLM pipelines end to end, pairing strong Python development with production-grade evaluation and monitoring.
At NVIDIA, I resolved 450+ prompt and data quality issues, improving model accuracy by 25% and reliability by 30%. I engineered evaluation and monitoring frameworks to detect prompt drift, data inconsistencies, and inference failures, and contributed to multi-agent systems through tool routing, workflow orchestration, message passing, and state management.
Earlier, as a Data Analyst Intern, I built Python-based pipelines to clean, transform, and structure large-scale government datasets, and delivered ML models alongside interactive Power BI and Tableau dashboards. I also ship GenAI products through projects like ClinIQ and a Finance Intelligence Agent, with observability via Langfuse and production deployment using FastAPI and Docker—driven by a strong interest in MLOps and agentic AI.
Experience
Work history, roles, and key accomplishments
Engineered and optimized production Generative AI LLM pipelines, resolving 450+ prompt and data quality issues to improve model precision by 25% and reliability by 30%. Built evaluation and monitoring frameworks for prompt drift and inference failures, and led onboarding/QA for 15+ AI evaluators, earning Top 3 Contributor recognition for three consecutive weeks.
Built Python-based data pipelines to clean, transform, and structure large government datasets, enabling reliable analytics and supporting end-to-end data engineering workflows. Developed machine learning models and interactive Power BI/Tableau dashboards for trend analysis and resource planning.
Education
Degrees, certifications, and relevant coursework
Imarticus Learning, Pune
Post Graduate Diploma in Data Science and Analytics, Data Science and Analytics
2023 - 2024
Grade: Grade A, 89%
Completed a Post Graduate Diploma in Data Science and Analytics, achieving Grade A with 89%.
Pimpri Chinchwad College of Engineering, Nigdi
Bachelor of Engineering, Mechanical Engineering
2019 - 2023
Grade: CGPA 8.46
Earned a Bachelor of Engineering in Mechanical Engineering with a CGPA of 8.46.
Availability
Location
IndiaAuthorized to work in
Website
atharva-kate.netlify.appPortfolio
atharva-kate.netlify.appSocial media
Job categories
Skills
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