• Built a Streamlit-based UI wrapper over a custom PySpark and AWS Glue job orchestration framework, enabling low-code
authoring and automated data pipeline management for enterprise data teams.
• Architected a dual-infe…
• Built a Streamlit-based UI wrapper over a custom PySpark and AWS Glue job orchestration framework, enabling low-code
authoring and automated data pipeline management for enterprise data teams.
• Architected a dual-inference backend: locally powered by an Ollama-served SLM for development and testing, and promoted
to production via an AWS Bedrock-integrated Claude model deployed as a Claude Skill for scalable, secure inference.
• Engineered a configuration-driven LLM orchestration layer with intent resolution, dynamic prompt composition, and contract
based output validation to reliably automate pipeline generation workflows.
• Packaged and distributed the solution as an internal Git repository, enabling employees to automate data engineering tasks
and reduce manual pipeline coding overhead at scale.
Built a Streamlit-based UI wrapper over a custom PySpark and AWS Glue job orchestration framework, enabling low-code authoring and automated data pipeline management for enterprise data teams.
Architected a dual-inference backend: locally powered by an Ollama-served SLM for development and testing, and promoted to production via an AWS Bedrock-integrated Claude model deployed as a Claude Skill for scalable, secure inference.
Engineered a configuration-driven LLM orchestration layer with intent resolution, dynamic prompt composition, and contract-based output validation to reliably automate pipeline generation workflows.
Packaged and distributed the solution as an internal Git repository, enabling employees to automate data engineering tasks and reduce manual pipeline coding overhead at scale.
Built a Streamlit-based UI wrapper over a custom PySpark and AWS Glue job orchestration framework, enabling low-code authoring and automated data pipeline management for enterprise data teams., Architected a dual-inference backend: locally powered by an Ollama-served SLM for development and testing, and promoted to production via an AWS Bedrock-integrated Claude model deployed as a Claude Skill for scalable, secure inference., Engineered a configuration-driven LLM orchestration layer with intent resolution, dynamic prompt composition, and contract-based output validation to reliably automate pipeline generation workflows., Packaged and distributed the solution as an internal Git repository, enabling employees to automate data engineering tasks and reduce manual pipeline coding overhead at scale.
• Identified and fixed a critical thread-safety bug (PR #15, merged) in src/common/tree sitter 2026 manager.py — removed global Parser cache causing race conditions under concurrent requests in multi-worker uvicorn deployments. • Refactored get lang parser() to instantiate a fresh Parser per call while caching only immutable Language objects, elimi nating shared mutable state across threads. • Contributed to GSSoC 2026 open-source project BugViper — an AI-powered code review platform built on Neo4j knowledge graphs, LangGraph agents, and Tree-sitter AST parsing across 17 languages.
Identified and fixed a critical thread-safety bug (PR #15, merged) in src/common/tree sitter manager.py — removed global Parser cache causing race conditions under concurrent requests in multi-worker uvicorn deployments.
Refactored get lang parser() to instantiate a fresh Parser per call while caching only immutable Language objects, eliminating shared mutable state across threads.
Contributed to GSSoC 2026 open-source project BugViper — an AI-powered code review platform built on Neo4j knowledge graphs, LangGraph agents, and Tree-sitter AST parsing across 17 languages.
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