Resume

Architecture,
delivery, outcomes.

I lead architecture and delivery for agentic platforms, GenAI evaluation, retrieval systems, and governed AI for S&P 500 and global enterprise clients across AWS, Azure, GCP, Databricks, and Snowflake.

Explore the work · Email · LinkedIn

Experience

  • Tredence

Tredence Inc.

Senior AI Engineer

Global AI, data, and analytics consultancy

  • Led the end-to-end design of a Tredence internal agentic migration platform using retrieval-augmented generation over the source estate, containerized microservices, human checkpoints, and source-to-target validation; automated 70% of manual migration work.
  • Led a separate AB InBev Azure-to-Databricks migration that landed with less than 1% source-to-target deviation.
  • Designed and built GML, an end-to-end ML and agentic framework on GCP for Gap Inc., in collaboration with Google; Google reviewed and signed off on the framework.
  • Built Azure ML foundations, a Snowflake call-center rating application, and cost-aware LLM-as-a-judge evaluation for Signify Health, a CVS Health company.
  • Built an event-driven ML observability platform on Databricks for DICK’S Sporting Goods that made model onboarding 10× faster, and contributed engineering across the client’s customer-facing agentic platform.
  • Designed multiple AI platform architectures for S&P 500 and global enterprise clients across AWS, Azure, GCP, Databricks, and Snowflake, including an AI supply-chain control tower for Boeing and a near-real-time AI personalization and promotion system for Marriott, and mentored multiple teams across the ML and GenAI practice.
  • DEKA Research & Development
  • FedEx

DEKA Research & Development

Machine Learning Engineer

The R&D lab behind FedEx Roxo and the FDA 510(k)-cleared twiist insulin delivery system

  • Led the design and development of an image-deduplication system using embedding similarity over AWS OpenSearch, reducing annotation workload by 80%.
  • Designed and implemented four distributed ML workflows using Airflow, Kubernetes, Python, and C++.
  • Built HIPAA-compliant OCR analysis that improved root-cause accuracy by 60%.
  • Helped transform CI/CD and test discipline, reducing production bugs by 43% and making releases 57% faster.
  • Rochester Institute of Technology

Rochester Institute of Technology

Graduate Research Assistant · Action Lab

  • Built multimodal datasets and trained Faster R-CNN and LSTM video-to-text models on a 1,000+ video dataset for human-object interaction research.
  • Horizon Geospace

Horizon Geospace

Software Engineer

  • Built ML and NLP systems inside production CRM applications and real-time Kafka and Spark pipelines.
  • DRDO HEMRL

DRDO HEMRL

Engineering Intern

High Energy Materials Research Laboratory

  • Built deep learning prototypes for solid rocket propellant analysis, reducing the data storage footprint by 43%.
  • Improved analysis-code test coverage from 63% to 94%.

Competencies

Agentic systems

Evaluation, retrieval, and serving

Observability and governance

Platforms, languages, and tools

Education

  • Rochester Institute of Technology

Master of Science in Computer Science

Rochester Institute of Technology · Rochester, New York

Specialization in Intelligent Systems, AI, and ML.
Graduate Merit Scholarship

  • Savitribai Phule Pune University

Bachelor of Engineering

Savitribai Phule Pune University · Pune, India

Merit Scholarship