I am an AI Engineer currently building large scale NLP pipelines. I take massive amounts of raw web data and structure it using transformer models.
I am looking to collaborate with AI Engineers, data engineers and business stakeholders. I like partnering with people who want to turn ambiguous problems into reliable AI systems that drive actual decisions.
Right now I am diving deeper into agentic workflows and causal inference. I am also exploring better ways to handle model observability and drift detection in production.
Highlights
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ETL_Sales_Data-Adventure_works
ETL_Sales_Data-Adventure_works PublicFull Azure data-engineering pipeline on the Adventure Works dataset: ingestion with Data Factory, transformation in Databricks, storage in Data Lake Gen2, and analytics in Synapse.
Jupyter Notebook
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Git-Pipeline
Git-Pipeline PublicServerless AWS pipeline that fetches GitHub user data (profile, repos, activity) via SQS and Lambda, stores snapshots in S3 and structured data in DynamoDB, and serves it through API Gateway with a…
Python
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healthcare-readmission-gcp
healthcare-readmission-gcp PublicEnd-to-end healthcare data pipeline on Google Cloud free tier analyzing patient readmissions. Synthetic Synthea EHR data is ingested, enriched, loaded to BigQuery, and visualized to surface readmis…
Python
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Road_Crack_Detection
Road_Crack_Detection PublicRoad crack detection from Google Street View images: collects and labels street-view frames, then trains a VGG16-based CNN to classify crack versus no-crack.
Python 1
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sasyantra-erp
sasyantra-erp PublicSasyantra Integrated Systems — manpower-supply ERP. NestJS + Prisma + Postgres backend, React + TS + Tailwind frontend. Immutable audit trail, RBAC, finance (budget/invoices/expenses/payroll), comm…
TypeScript
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