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Vandan Savla

@vandansavla

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AI Engineer at Contisoft Technologies who built marketing analytics pipelines processing ~1M records/day.

India

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At Contisoft Technologies, I architected a marketing analytics platform for a publicly listed Indian NBFC, processing ~1M records/day. I optimized its PostgreSQL data layer and built Redis caching to support dashboard responses in 10–15 ms.

At YDC Technologies (Tavro AI), I developed agentic systems for AI risk evaluation, governance, and compliance, including workflows integrated with ServiceNow, Collibra, and Microsoft Teams. I also built Talk to DB, an AI-powered natural-language-to-SQL app, and Ask Log, a conversational log-analysis chatbot.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Contisoft Technologies

May 2026 - Present (6 months)

Architected a scalable marketing analytics platform for a publicly listed Indian NBFC, processing ~1M records/day through Python, FastAPI, Celery, Redis, and PostgreSQL pipelines. Designed optimized PostgreSQL data layer with partitioning and indexing, built Redis caching layer, and integrated 10 third-party marketing tools for centralized reporting.

Python fastAPI Celery Redis PostgreSQL SQL Data Engineering Caching API Integration

Associate AI Engineer

YDC Technologies (Tavro AI)

Sep 2024 - Mar 2026 (1 year 6 months)

Reduced manual AI risk evaluation effort by 60% by implementing an automated agentic risk evaluation system using LangGraph. Developed secure MCP server with OAuth, designed LLM-driven agentic governance pipelines, and built production-grade agentic RAG systems for EU AI Act compliance.