Suresh Reddy

About Suresh Reddy

Transitioning from Platform Engineering to ML Infrastructure, bringing 11 years of developer tools and platform experience to production AI/ML systems. CURRENT FOCUSBuilding production RAG pipelines at Pega, focusing on:• Semantic chunking strategies for multi-modal documents• Document extraction and processing pipelines• Attribution systems for source tracking in RAG• LLM integration and prompt optimizationPreviously built internal developer tool that reduced team scripting efforts by 80% and was adopted across the organization - demonstrating ability to ship platforms teams actually use. TECHNICAL SKILLSLanguages: Python, JavaAI/ML: RAG Pipelines, Semantic Chunking, Vector Databases, LLM APIs (Claude, OpenAI)Backend: FastAPI, REST APIs, PostgreSQLInfrastructure: Docker, Kubernetes (learning), CI/CD WHAT I BRING• 11 years building reliable, scalable developer tools and platforms• Strong systems thinking - building AI infrastructure that\'s testable, observable, and maintainable• Proven track record shipping tools that get adopted (80% efficiency improvement across org)• Hands-on production RAG experience: chunking strategies, vector search, attribution, LLM integration LOOKING FORML Infrastructure Engineer or AI Platform Engineer roles where I can apply my platform engineering experience to building production AI/ML systems at scale.Particularly interested in:• RAG infrastructure and optimization• LLM serving and evaluation systems• AI observability and testing frameworks

Experience

1. Senior Principal Engineer

   Pegasystems

   Apr 2026 — Present · Hyderabad, IN

   Building production RAG pipelines:• Semantic Chunking: Designed multi-strategy document chunking system (semantic, sliding-window, hybrid) for optimal retrieval• Document Processing: Built end-to-end extraction pipeline handling PDF, DOCX, multi-modal documents with 95%+ accuracy• Attribution System: Developed source attribution tracking for RAG responses, enabling verification of LLM outputs• LLM Integration: Integrated Claude and OpenAI APIs with prompt optimization, caching strategies, fallback mechanisms• Tech Stack: Python, FastAPI, Vector DBs, LangChain, Claude/OpenAI APIs, PostgreSQL, Docker

Education

• Sri chaitanya junior college

  12, MPC

  2008 — 2010

• Visakha Institute of Engineering and Technology

  Bachelor's degree, Electrical, Electronics and Communications Engineering

  2010 — 2014

• Chaitanya Public School

  Ssc

  1997 — 2008