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Founder & Applied AI Engineer
Applied AI engineer at Atheera building agentic supply-chain systems for forecasting, replenishment planning, and purchase-order execution.
IndiaFounder & Applied AI Engineer at Atheera
Built and deployed an agentic supply-chain intelligence platform for consumer brands, automating inventory monitoring, demand forecasting, replenishment planning, and purchase-order execution. Designed a multi-agent architecture with specialized agents for data ingestion, forecasting, and execution workflows.
Agentic AILangGraphRAGfastAPIPythonPostgreSQLAWSREST APIsscikit learnProphetCroston's methodPyTorchTensorFlowRedisAmazon SQSSNS
Pursued a Master of Science in Engineering Management at the University of North Texas from January 2022 to May 2023.
Pursued a Master of Science in Engineering Management at the University of North Texas from January 2022 to May 2023.
Built and deployed LLM-powered assistant workflows for pricing and analytics users, enabling natural-language retrieval and reasoning over policy and claims data. Engineered RAG pipelines on pgvector and developed FastAPI services for AI-driven decision support.
LLMRAGLangGraphPythonfastAPIPostgreSQLPgvectorRedshiftSagemakerscikit learnMLFlowAirflowPytestPostman
Built Redshift analytical datasets and developed SQL models for driver risk and pricing analysis. Created Tableau dashboards and trained Random Forest and XGBoost models for risk scoring, improving pricing decision support.
SQLRedshiftTableauRandom ForestXGBoostSagemakerscikit learnMLFlowPythonAirflow
Built AWS ETL pipelines ingesting data from multiple source systems into S3 and Redshift. Automated data validation and monitoring with Lambda and CloudWatch, reducing discrepancies and manual effort.
AWSGlueLambdaS3RedshiftRDSPythonSQLCloudwatchETLData Validation
Profile sourced from Himalayas.