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Adityaa Kakade

@adityaakakade

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AI Engineer intern building Agentic GenAI Systems and ETL pipelines to deliver reliable, governed insights.

India

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What I'm looking for

I’m looking for a role where I can build governed, production-ready GenAI and multi-agent systems, own evaluation and data quality, and collaborate closely with ML/data teams to ship measurable improvements.

I’m an AIML Intern focused on agentic GenAI and production-minded data pipelines. I built Python-based ETL workflows that process 50K–200K records, cutting invalid samples by 22%, and I designed LLM workflow prompt/API modules that improved output reliability by 30% across 200+ structured tests.

On projects, I architected multi-agent RAG systems that autonomously reason over 500+ SEC filings and reduced hallucinations by ~35% while dropping research time from ~45 minutes to under 3 minutes. I also built compliance-first GenAI services—typed tool contracts, audit-ready data flows, and evaluation (e.g., RAGAs faithfulness/context recall)—and delivered medical and travel assistants with governance-compliant, modular pipelines.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

CortexGiga

Jan 2026 - Mar 2026 (2 months)

Engineered Python-based ETL pipelines for 3+ large datasets (50K–200K records), reducing invalid samples by 22% through automated deduplication, schema validation, and null-handling. Built reusable API integration modules and prompt templates for LLM workflows, improving query output reliability by 30% across 200+ structured test cases and authoring data quality/governance reports for 5+ productio

Python ETL Data Validation Pandas SQL LLM Prompt Engineering API Integration Data Governance