Sarath Chandra Bellam

Sarath Chandra Bellam

Architecting frontier AI tools and scalable enterprise platforms

I'm an AI Architect and Associate Director, Data Science, focused on transforming emerging AI capabilities into scalable enterprise solutions. My career began in Mechanical Engineering and evolved through Python development, data analytics, and data science, giving me a strong foundation across both technology and business domains.

Today, I lead the design and delivery of frontier AI systems, enterprise AI platforms, and intelligent automation solutions that drive measurable business impact. My expertise spans agentic AI, multi-agent systems, machine learning, platform engineering, and enterprise architecture, with a focus on building secure, reusable, and production-ready solutions.

I work closely with business leaders, engineers, product teams, and data professionals to bridge the gap between AI innovation and enterprise adoption. From modernising data and AI ecosystems to creating next-generation AI platforms, I focus on enabling organisations to operationalise AI at scale while accelerating productivity and innovation.

Outside of delivery and strategy, I enjoy prototyping new ideas, experimenting with emerging AI technologies, and exploring how cutting-edge research can be translated into practical solutions. I'm passionate about building technology that empowers people, mentoring teams, and solving complex problems through innovation.

Timeline

2026 —
Associate Director, Data Scientist at S&P Global I lead the design and delivery of a frontier internal AI platform inspired by cowork-style workflows, bringing agentic AI directly into everyday user workflows. I also contribute to enterprise-wide AI blueprints and reusable architecture patterns that accelerate adoption, consistency, and responsible scale.
2024 — 26
Lead Data Scientist at S&P Global. Led R&D on generative and agentic AI, using the Model Context Protocol and LLMs to bring enterprise applications from prototype to production.
2022 — 24
Senior Software Engineer at S&P Global. Built ML and DL models trained on historical test-case error patterns to suggest likely resolutions, before evolving the solution into an LLM-based response chatbot. Created a prototype of an automated API test-case generator from OpenAPI specifications.
2021 — 22
Advanced Certificate Programme in Machine Learning and Deep Learning at International Institute of Information Technology Bangalore. View credential.
2021 — 22
Software Engineer at S&P Global. Contributed as a Python developer to an internal test automation framework, now open source as CafeX. Also created chatbot prototypes using NLTK and built supporting NLP pipelines.
2019 — 21
Associate Data Scientist at Cognizant. Delivered the Info1 PG classification project for JPMC: classified around 7.5 million metadata attributes into different Protection Groups using machine learning. Developed a custom algorithm combining multiple text-classification strategies. Technologies used included Python, Pandas, NumPy, Matplotlib, NLTK, scikit-learn, and TensorFlow-based neural networks.
2016 — 19
Software Engineer at Tech Mahindra. Contributed to simulation data management and sensor analytics automation using Python, Predix deployed-app auto-start automation, and asset performance management through asset-tag sensor analytics. Also delivered IoT automation workflows in ServiceNow with an alerting system.
2012 — 16
B.Tech, Mechanical Engineering at Gudlavalleru Engineering College.

Pet Projects

Ask Crixy is an IPL cricket analytics AI agent that answers questions using a comprehensive ball-by-ball database from the 2007/08 inaugural season to the present, writing and executing real-time SQL queries to return exact, data-backed answers.

Samva is a framework for building voice agents that handle real phone calls, designed for production-ready telephony conversational workflows.

Writing

The MCP Revolution: How Tool Granularity Can Make or Break Your AI's Performance and Cost — Medium, 2025 Agents, Tools, and the Subtle Art of Tool Design — Medium, 2025 Demystifying Generative AI — Medium, 2025 Mastering AI Agent Evaluation: Metrics, Strategies, and Best Practices — Medium, 2025 What Can We Expect from Model Context Protocol in the Near Future? — Medium, 2025