Profile - About Me

"I help enterprises securely harness the power of Generative AI. With a background spanning MLOps, high-scale software engineering, and cloud data architecture, I architect robust systems that transform enterprise data streams into production-grade AI Agents and scalable cloud services."

As a Senior Specialist Solution Architect at AWS based in Seattle, WA, I specialize in Generative AI data strategies, secure LLM architectures, and the strategic enablement of next-generation systems like AI Agents and Model Context Protocol (MCP) servers.

10+ Years Experience
15+ AI Vendor Partners
16 Global Speaker Sessions

Career Experience

Senior Specialist Solution Architect

Amazon Web Services (AWS)
Feb 2022 – Present
  • Led a dedicated team of solution architects in the strategic enablement of 15+ software vendor partners, guiding them to successfully build, integrate, and list AI Agents and **MCP (Model Context Protocol) servers** in the AWS Marketplace within a rapid two-month timeframe.
  • Developed and delivered Generative AI data strategies for large-scale enterprise customers, providing architectural guidance on securely leveraging third-party data for Large Language Models (LLMs).
  • Acted as an AI/ML evangelist to increase platform awareness and usage, authoring 5 high-traffic technical blogs on data modeling and AI Agent development.
  • Drove technology adoption by delivering 16 live technical sessions at premier global conferences, including AWS re:Invent and the **NY AWS Summit**.
  • Spearheaded technical go-to-market strategies for highly ambiguous, emerging AI and Data feature launches (e.g., AWS Data Exchange, AI Agents), adapting to rapidly evolving business objectives.

Senior Field Engineer

Domino Data Lab
Sept 2021 – Feb 2022
  • Designed and developed automated scripts empowering data scientists to run processing jobs in parallel on the Domino platform, resulting in a **60% decrease** in processing time.
  • Worked with multiple enterprise customers as an account manager and field engineer to increase adoption of the Domino enterprise MLOps/Data Science workbench.

Senior Software Engineer III

Nike
Feb 2018 – Sept 2021
  • Engineered robust MLOps automation enabling Data Scientists to seamlessly serve ML models at scale using Kubernetes and Flask, creating a Continuous Delivery workflow that reduced ML time-to-market to just **2 weeks**.
  • Collaborated cross-functionally with cloud providers to establish **AWS SageMaker** as a core compute platform within the Nike enterprise ecosystem, achieving an **80% user satisfaction rate**.
  • Developed Airflow operators integrating with Databricks APIs to seamlessly orchestrate scheduled runs for ML models.
  • Collaborated with Data Engineers and Scientists to adapt common patterns for data processing jobs, which increased system observability and alarming capabilities by **70%**.
  • Designed a distributed cache service using AWS ElastiCache to optimize performance of customer-facing recommendation models.

Research Assistant

UCLA
Mar 2017 – June 2017
  • Developed experiments to explore wealth visibility in a setting of dynamic social network interactions using the breadboard framework.
  • Created conversational bots on Facebook Messenger to automate survey administration and responses.

I.T Engineer

Cisco Systems
July 2014 – Aug 2016
  • Designed and developed a **PDF Extractor** tool that parses and extracts structured metadata from hundreds of structurally similar PDF documents using Java and Hadoop MapReduce.
  • Developed Apache Spark scripts for parallelized large-scale data processing to create a custom course recommendation tool.
  • Won Cisco's prestigious **Hack IT IV, 2014** (Cisco-wide hackathon) for designing and developing a real-time crime detection system for ATM cameras.
  • Received the **Early Career Recognition Award** at the 2015 Annual Cisco Meet for exceptional work ethic and rapid engineering contributions.

Software Engineer Intern

Tata Research
May 2013 – July 2013
  • Coded and deployed an interactive Android learning book app named **Pustack** by integrating several third-party APIs (Google Maps, Google Books, and MediaWiki Action API).

Skills & Credentials

Core Architectural Focus

🤖

AI Agents & MCP Ecosystems

Pioneering the strategic architecture, integration, and secure lifecycle scaling of Model Context Protocol (MCP) ecosystems and AI Agents.

⚡

Generative AI Strategies

Authoring robust cloud architectures to securely integrate enterprise transactional databases with Large Language Models (LLMs).

🌀

High-Scale MLOps Platforms

Orchestrating production workflows using AWS SageMaker, Kubernetes, Apache Spark, Airflow, and Flask frameworks.

Programming Languages

Python 85% SQL 85% Scala 75% Java 75% C++ 70%

Technologies & Cloud

Generative AI AI Agents MCP (Model Context Protocol) AWS (Amazon Web Services) Apache Spark Hadoop / MapReduce Airflow MLOps Kubernetes AWS SageMaker TensorFlow

Education

MS in Computer Science

University of California, Los Angeles (UCLA)

Sept 2016 – Dec 2017

Expertise: Data Science, Large-Scale Data Mining, Distributed Database Systems, Cloud Computing

Bachelor of Technology in CS

Amrita School of Engineering, India

July 2010 – Aug 2014

Honors: Awarded Silver Medal for securing overall second rank in CSE

Certifications & Publications

Apache Spark™ for ML and Data Science

Databricks DB301
View Credential →

Video Recommender in Open/Closed Systems

IJRET Publication (2014)
Read Research Paper →

Early Career Recognition Award

Cisco Systems (2015)

Keychain Collection

"I have the habit of buying keychains when I visit a place. This is my collection after reaching the USA."

Let's Keep In Touch

Contact Information

Feel free to reach out directly or send an email through the form. I'd love to discuss AI Agents, Data Engineering, or anything data related.

Let's Connect