Sriharsha M S

About Sriharsha M S

I\'m a builder and tinkerer who leverages multi-agents and agentic harnesses to architect, deploy, and scale Agentic AI solutions. Deep hands-on expertise across: 1/ The full AI lifecycle of LLMs from pre-training and fine-tuning with reinforcement learning to production inference optimization. 2/ Building solutions using modern agentic frameworks (Claude Agent, Strands, Lang*/DeepAgent) on AWS AgentCore/Bedrock. Co-inventor of ML governance patents, co-author of GenAI workshops, and creator of Gen AI/ Agentic solutions that generated $100sM+ in revenue. I\'ve championed Agentic AI and data science adoption, led cross-functional teams of data scientists and engineers, built teams from scratch, influenced and partnered with executives to transform organizations into data-driven, agentic enterprises.TECHNICAL SKILLS Languages: Python, R, SQL, Java, Typescript, JavaScript. any programming language.Frameworks/Libraries: Agentic SDKs (Claude Agent, Strands, Lang*/DeepAgent), PySpark, Pytorch.ML/Data systems & tools: Bedrock & AgentCore, SageMaker & Hyperpod (LLM training & hosting),Databricks, Spark, OLAP/OLTP.Developer Tools: Claude Code, Codex, Kiro, Cursor, Windsurf / CognitionCloud tools: AWS cloud ML tools, AWS Cloud, Google cloud ML tools.

Experience

1. Principal Ai Ml Specialist

   Amazon Web Services (AWS)

   Sep 2019 — Present · San Francisco, CA, US

   Led GenAI infrastructure scaling initiatives for Strategic ISV customers (OpenAI, Salesforce, Adobe, Workday, Autodesk, SAP, Meta, Airbnb), driving ~$65M+ ARR(2025)~$34.5M+ ARR (2024) through technical leadership on frontier model training, agentic platforms, and AI inference optimization on AWS- Architected and deployed production AI solutions including Salesforce\'s SageMaker Hyperpod for LLM training, Adobe Firefly on AWS GPU/AI accelerators, and Workdays SageMaker migration, while authoring strategic whitepapers on Agentic AI that influenced product roadmaps- Delivered 50+ workshops/immersion days, 20+ EBCs/RTMs, and 30+ POCs while co-inventing ML governance patent and co-authoring multiple GenAI workshops, establishing thought leadership through speaking engagements at re:Invent, NeurIPS, and customer events.

Education

• B. M. S. College of Engineering

  Bachelor of Engineering, Computer Science

  2001 — 2005

• Johns Hopkins Bloomberg School of Public Health

  Data Science

  2016 — 2017

• Jawahar Navodaya Vidyalaya, Gajanur

  Pre University, Science

  1994 — 2001

• University of Illinois Urbana-Champaign

  Masters in Computer Science - Data Science, Data Science

Skills

• Sqoop
• Spring
• Big Data Analytics
• Unix
• Apache Spark
• Tomcat
• Java Enterprise Edition
• Mongodb
• Apache Pig
• Representational State Transfer (Rest)
• Spring Framework
• Liferay
• Jboss Application Server
• Rest
• Hadoop
• Soap
• Oracle Pl/Sql Development
• Deep Learning
• Java
• Cassandra
• Javascript
• Solr
• Software Development
• Python
• Ajax
• Mysql
• Sql
• Akka
• Linux
• Hibernate
• Pl/Sql
• R
• Iot
• Web Services
• Big Data
• Struts
• A I
• Tensor Flow
• Apache Storm
• Apache 2