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Summary
Analytics professional at Bristol Myers Squibb with an end-to-end data skill set, transitioning into AI engineering on the strength of shipped, production-quality open source. Author of knowledge-worker, a published PyPI package that gives AI assistants durable, provenance-backed memory: a local-first knowledge graph with graph analytics, LLM-backed ingest, and a hard provenance invariant. Generalist by nature: comfortable owning a problem from data ingestion through modeling, tooling, and the report on a stakeholder's desk.
Experience
Bristol Myers Squibb · Analytics Engineer, Global Product Development and Supply (GPS)
New Brunswick, NJ · October 2023 – Present
- Developed 3 executive-level KPI dashboards and automated Python reporting solutions that improve operational visibility and support data-driven decision-making across CAR-T (cell therapy) operations.
- Architected and deployed an AWS-based self-service data platform with dbt and CI/CD automation, enabling 50+ engineers to build approximately 400 production-grade data products.
- Lead and mentor a team of five junior data developers, establishing engineering standards, code review practices, and development best practices.
- Integrated LLM-extracted manufacturing information with ERP data (SAP) to build an end-to-end batch tracking graph that accelerates manufacturing release processes.
- Delivered enterprise data products integrating manufacturing and quality systems for commercial CAR-T operations, contributing to an improvement in manufacturing success rates from approximately 74% to 92%.
- Collaborate closely with engineering, manufacturing, analytics, and business stakeholders to translate operational challenges into scalable data solutions, and design reusable analytics artifacts that improve reliability and long-term maintainability.
Mu Sigma Inc. · Senior Data Consultant
Bangalore, India · July 2018 – March 2022
- Delivered advanced analytics, business intelligence, and data consulting solutions for Fortune 100 clients across retail, financial services, healthcare, and supply chain domains.
- Managed a team of six analysts delivering more than 30 analytical requests per week for a Fortune 50 pharmacy organization's customer analytics function.
- Developed enterprise Power BI and Tableau dashboards that enabled marketing and sales teams to improve customer acquisition and retention through actionable business insights.
- Revamped an enterprise risk prediction model using predictive analytics, helping a financial services client achieve approximately $500K in annualized revenue savings.
- Designed an automated report rationalization process using intelligent string-matching algorithms, consolidating more than 70 reports into seven standardized reports to support a Snowflake migration initiative.
Open Source
knowledge-worker · Author & Maintainer
- Designed a provenance-first knowledge graph architecture that validates every document before ingestion, enforced by deterministic validation, to improve data trust and traceability.
- Built the full graph lifecycle: ingestion, query, path-finding, review/merge, context export, semantic inspection, and an offline HTML graph visualizer.
- Implemented advanced graph analytics including PageRank, betweenness, k-core, community detection, semantic similarity scoring, and relationship analysis.
- Built append-only graph storage supporting JSON-LD, RDF, and Turtle standards for interoperable knowledge exchange; zero runtime dependencies in the core, with optional LLM backends (Anthropic, OpenAI, Ollama).
- Established a 9-benchmark public test suite guarding provenance, recall, privacy boundaries, and context compactness; GitHub Actions CI across Python 3.10–3.13.
- Published to PyPI (v0.8.0); ~500 downloads/month and adopted for real cross-session AI workflows.
- kompress-ultra · context-management middleware experiments for AI agent frameworks: live-data TUI dashboards, knowledge-graph visualizations, Pages deploy pipeline.
- AG-UI protocol · open protocol work for agent/UI interoperability.
Technical Skills
- Programming
- Python, SQL, JavaScript (React)
- AI & Machine Learning
- LLMs, LLM orchestration, prompt engineering, retrieval-augmented generation (RAG), AI context management, knowledge graphs, graph analytics, machine learning, hypothesis & A/B testing
- Data Engineering
- AWS Glue, dbt, Dagster, Snowflake, data warehousing, ETL pipelines, data modeling, JSON-LD, RDF, linked data, enterprise reporting
- Cloud & DevOps
- AWS (Lambda, Glue, EC2, CloudFormation, CodeBuild), Git, GitHub, GitHub Actions, CI/CD
- Visualization & BI
- Tableau, Power BI
- Software Engineering
- API development, software architecture, open source development, technical documentation, benchmark testing, version control
Education
M.S., Information Technology & Management · The University of Texas at Austin · July 2022 – May 2023
B.E., Electronics & Communication Engineering · JSS Science and Technology University, Mysuru, India · August 2014 – May 2018
Certifications & Awards
- Hands-on Essentials: Data Warehouse · Snowflake, October 2022
- Programming for Everybody (Getting Started with Python) · Coursera, 2016
- 1st Place, DFS Hackathon · Dover Fueling Solutions, September 2022
- Bravo Award, Batch Genealogy Data Product Release 4 · Bristol Myers Squibb, April 2026
- Bravo Award, AE AWS Tech Stack Implementation · Bristol Myers Squibb, July 2025
- Bravo Award, Daily Aph vs. Budget Reporting · Bristol Myers Squibb, August 2024
- Impact Award · Mu Sigma Inc., August 2021
Languages: English · Kannada · Hindi · Location: New Jersey, USA · Open to relocation across the US, preferably SW/Southern United States