Education

Stony Brook University, NY — M.S. Electrical Engineering | May 2018

Sri Sai Ram Engineering College, Anna University — B.E. Electronics & Communication | May 2016

Experience

Software Engineer (AI/ML) at Addepar, Bangalore (Remote)

Jan 2025 - Present

  • Document Intelligence: Sole tech lead for fund-lookthrough — designed and shipped agentic document processing pipelines that extract private fund-specific attributes from unstructured financial documents at scale, processing 5000+ documents/month. Mentored an intern through the project.
  • Refactored and tuned extraction to lift field-level accuracy from 65% to 91%, extraction rate from 60% to 90% while reducing cost per document by 89% (projected savings of $211k/yr).
  • Designed augmentation agent using Strands SDK with agents-as-services architecture and OTel instrumentation to enrich ML-extracted attributes with web-search data.
  • Addison (AI Agent): Designed and shipped OpenAI-based web search enhanced RAG capabilities for Addepar’s user-facing AI agent.
  • Platform: Built production o11y stack for AI platform — MLflow tracing, Sentry error tracking, and a usage dashboard surfacing engagement and performance insights from agent trace data. Drove adoption of o11y patterns across multiple AI teams.
  • Regular internal and external speaker on AI-assisted engineering — presented Claude Code workflows and MCP patterns to AI platform team and intern cohorts internally; delivered lightning talks at Addepar’s Pune Tech Meetup to 50+ senior engineers.
  • Platform/Frameworks: LangGraph, Strands, Bedrock AgentCore, MLflow, Sentry | Language: Python, Go, Terraform

Sr. Software Engineer (Data) at Narvar, Mountain View (Remote)

Apr 2023 - May 2024

  • Redesigned the o11y platform across all of Narvar’s services. Reduced data loss from fluentd-based pipeline by 20%.
  • Implemented a PubSub backend for the Rust-based frontend analytics service to enable scaling from 200RPS to 1000RPS to handle peak-traffic reliably.

Sr. Backend Engineer (ML Platform) at Nomad Health, NYC (Remote)

Sept 2022 - Mar 2023

  • Designed workflow orchestration system with ML metadata management on Airflow/MLFlow; optimized Vertex AI Pipelines, reducing weekly costs by ~80%. Mentored a junior engineer with the ML Platform team.

Software Engineer (ML/Infra) at Viaduct, Menlo Park

April 2021 - Sept 2022

  • Designed and built an E2E ML pipeline framework, reducing experiment iteration cycle from 2 weeks to 2–3 days; introduced ML experiment tracking (MLflow) to replace manual Excel-based metric logging.
  • Built a spec-driven application provisioning framework with Cuelang, enabling Viaduct to scale from 2 customers to N through YAML-based self-service deployment.

ML Infrastructure Engineer at Cisco, San Jose

July 2018 - April 2021

  • Tech Lead for the Kubeflow onprem Working Group; contributed core capabilities back to Cisco Container Platform, helping the product win multiple financial enterprise customers.
  • Prototyped and implemented the very first hybrid-cloud Kubeflow pipelines (onprem → AWS Sagemaker / GCP).

Patents

US Patent 11,847,500 — Systems and Methods for Providing Management of Machine Learning Components (Cisco, granted 2023)

Technical Strengths

Area Skills
Languages Python, Go, Rust, Terraform, SQL, Cuelang
AI/ML & Platforms Agentic AI, RAG, LLM Evaluation, SageMaker, Kubeflow, Spark, Airflow, Docker, Kubernetes