Neel Madhab User
@neelmadhabuser
Data engineer and AI-focused software engineer building scalable data pipelines and production LLM solutions.
What I'm looking for
I am a data engineer and AI-focused software engineer experienced in building scalable ETL/ELT pipelines, cloud-native data platforms, and production LLM workflows. I design and implement data models, automated validation frameworks, and streaming solutions to support analytics and operational use cases.
At TEKsystems I implemented RAG-based policy engines, multi-agent LangGraph workflows, and document-processing pipelines that automated underwriting, processed 10,000+ medical PDFs, and reduced manual processing and backlog substantially. I also migrated millions of HR records, designed 30+ normalized data models, and saved significant remediation costs.
I work across AWS, Snowflake, Apache Spark, Kafka, and cloud/serverless services, and I prioritize reliability, observability, and cost-effective architectures that scale. I seek roles where I can drive data strategy, productionize ML/AI solutions, and mentor cross-functional teams.
Experience
Work history, roles, and key accomplishments
Software Engineer, AI Track
TEKsystems Global Services
Nov 2025 - Present (2 months)
Built stateful multi-agent AI workflows to automate health insurance underwriting, reducing manual processing by 40% and implementing a RAG-based policy engine that achieved a 70% auto-approval rate and cut backlog by 120 hours monthly.
Software Engineer, DA
TEKsystems Global Services
Aug 2024 - Oct 2025 (1 year 2 months)
Developed ETL pipelines and data models to migrate 2.5M employee records from Oracle PeopleSoft to Fusion HCM, reducing post-migration defects by 25% and saving $200K in remediation costs.
Associate Engineer
TEKsystems Global Services
Jan 2024 - Jul 2024 (6 months)
Deployed serverless OCR on AWS (Lambda, Textract, DynamoDB) processing 5,000+ documents monthly and reduced manual entry latency by 60% while implementing data quality monitoring with CloudWatch alerts.
Technical Trainee
TEKsystems Global Services
Feb 2023 - Jul 2023 (5 months)
Built an ML pipeline on GCP Dataproc and PySpark to process 500GB+ datasets across 10-node clusters, improving sales forecasting RMSE by 15% over baseline.
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Technology, Computer Science and Engineering
2019 - 2023
Grade: 8.2 CGPA
Completed a Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.2, focusing on software engineering, data processing, and cloud technologies.
Availability
Location
Authorized to work in
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