Open to opportunities

shree S

@shrees

Message

I build production AI and data engineering systems, delivering GenAI copilots, RAG pipelines, and scalable platforms.

United States

Message

What I'm looking for

I’m looking for a team where I can build production GenAI copilots and RAG systems, own end-to-end data pipelines, and collaborate cross-functionally to deploy scalable, measurable solutions.

I’m a Software Engineer specializing in AI and Data Engineering, focused on shipping production-ready GenAI solutions with measurable impact. I’ve built RAG and agentic systems, translating complex models into workflows teams can trust.

As an AI Engineer, I built a RAG-based clinical copilot integrating MedGemma, FAISS, and LLaMA, retrieving 10K+ relevant insights weekly while reducing manual triage by 3 hours per batch. I also engineered an autonomous Claude-powered agent to classify, parse, and translate 70,000+ medical codes with human-in-the-loop feedback (RLHF), cutting manual mapping effort by 80%.

Earlier at Barclays, I designed and optimized ETL pipelines processing 2M+ daily records using Ab Initio and SQL, reducing data latency by 40%. I’ve also orchestrated 200+ daily batch jobs with strong telemetry to maintain 98% SLA adherence, and improved delivery velocity with Jenkins/Docker CI/CD workflows that reduced deployment time by 60%.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Pear (Healthcare)

May 2025 - Present (1 year 2 months)

Built a RAG-based clinical copilot integrating MedGemma, FAISS, and LLaMA to retrieve 10K+ relevant medical insights weekly and reduce manual triage workload. Engineered an LLM-powered agent for autonomous medical code classification/translation with human-in-the-loop (RLHF) and developed supporting pipelines for patient-readable outputs and automated data ingestion to S3.

RAG Faiss LLaMA Anthropic: Claude Python RLHF Pipeline Human In The Loop Prompt Engineering Data Ingestion Selenium Amazon S3

Data Engineer

Barclays

Aug 2022 - Jul 2024 (1 year 11 months)

Designed and optimized ETL pipelines processing 2M+ daily financial and credit card records using Ab Initio and SQL, reducing data latency and improving query performance. Orchestrated 200+ daily batch jobs with AWS CloudWatch and IBM TWS, and implemented CI/CD workflows with Jenkins and Docker while automating AWS IAM role creation using Lambda.