RISHAV CHATTERJEE
AI Engineer | AI Consultant | AI Researcher
Professional Summary
I architect and ship production AI systems — from mesh networks to autonomous agents — using AI coding tools as my development environment. 8 years of Python, SQL, and data platform engineering give me the domain knowledge to direct AI effectively.
Work Experience
Project Leader - AI Engineer
Dec 2022 - Present- Spearheaded the company-wide launch of GOAT (Gartner’s Own Agentic Tech), an enterprise-grade Agentic AI platform, reducing internal query resolution time by 88%.
- Re-architected the GOAT platform from AWS EKS to a serverless AWS Lambda framework, enabling scale for 5,000+ concurrent users while reducing cloud costs.
- Engineered an automated A/B testing framework for LLMs, benchmarking performance and improving token efficiency by 40%.
- Developed a centralized multi-agent ecosystem that empowers sales teams, automating 65% of routine client research tasks.
- Optimized Unified AL pipelines to achieve a landmark 88% reduction in processing latency and a 60% decrease in total operational costs.
Senior Data Engineer
May 2020 - Dec 2022- Migrated from HIVE to Snowflake, increasing pipeline performance by 60% and reducing query times.
- Orchestrated jobs using Apache Airflow and Alteryx, improving system speed by 40%.
- Maintained 99.5% data accuracy with 9.5/10 stakeholder satisfaction across 15 brands.
- Led team of 3, collaborating with 15+ data vendors and 10+ brand leaders.
- Led Data Integration for 15 brands and 50+ dosages from 20 vendors; processed over 100GB of daily data.
Data Engineer
Jun 2018 - Apr 2020- Worked with Jubilant FoodWorks to reduce production pipeline execution time by 66%
- Migrated IndiaMART's on-premises system to AWS
- Delivered automated prediction model workflows for Reckitt Benckiser using Azure Databricks
- Successfully started cloud-based services as a new vertical for the organization
Technical Skills
SQL: SQL Server, PostgreSQL, Spark SQL, SnowSQL
Agentic AI: LangGraph, LangChain, Ollama
Python: Pandas, SQLAlchemy, Pyspark, Sklearn, Selenium
AI Tools: Claude Code, CLAUDE.md Configuration, Google Copilot, Cline, Kilo Code
Data Engineering: AWS Glue, Azure Databricks, AWS Lambda, AWS Batch, Alteryx
Cloud & Data Infra: AWS, Azure, Redshift, Snowflake, Apache Spark, HIVE
MLOps: Git, Docker, Kubeflow, DVC, vLLM
Analytics & Tools: Tableau CRM, Qlik Sense, Power BI, JIRA, Confluence