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AI Engineer / Data Scientist (GenAI)
I build company-wide multi-agent GenAI, RAG, and ML systems for manufacturing, finance, supply chain, and sales.
IndiaAI Engineer / Data Scientist (GenAI) at Asian Paints
Architected a multi-agent GenAI platform unifying 8+ enterprise datasets with natural-language querying and RBAC, rolled out across 150+ users. Built a multi-channel GenAI assistant with SAP-integrated workflows and NL-to-SQL, adopted by 1000+ users, cutting manual reporting time ~60%.
Multi Agent SystemsRAGLangGraphNL To SQLAzure AI FoundryCoPilot StudioXGBoostVariational Auto EncodersCLIPLayoutLMv3ResNetfastAPIReactNodeJSAzureDatabricksADFSynapseMongoDBInformaticaABAP
Spearheaded the Manufacturing Analytics initiative with predictive and real-time anomaly-detection models, deploying an end-to-end solution identifying faulty paint batches. Improved batch consistency and provided operators with equipment setting recommendations through deployed models.
Anomaly Detectionpredictive modelingManufacturing AnalyticsData EngineeringDeployment
Implemented manufacturing analytics with factory digital twins on Sight Machine and built paint batch-quality forecasting models. Implemented range-based sharding improving database performance by 92% and built scalable data pipelines across SQL, CSV, and OPC time-series sources.
Manufacturing AnalyticsDigital TwinSight MachineData EngineeringShardingSQLCSVOPC UASAP ERPOracleMSSQLRFCInformaticaADFFactoryTx
Completed Master of Computer Applications (MCA) from NMIMS MPSTME, Mumbai in 2019.
Completed Master of Computer Applications (MCA) from NMIMS MPSTME, Mumbai in 2019.
Completed Bachelor of Computer Applications (BCA) from The Heritage Academy, Kolkata in 2016.
Completed Bachelor of Computer Applications (BCA) from The Heritage Academy, Kolkata in 2016.
Completed a certification in Statistics, Probability, Statistical Data Analysis, and Machine Learning through MITx on edX.
Completed a certification in Agentic AI from Deeplearning.io.