Suresh Katamsetty
Senior Software Lead Engineer
Senior Software Engineer & Technical Lead with 12+ years of experience architecting distributed systems and production-grade AI platforms. MSc Software Engineering with Distinction & Gold Award from University of Hertfordshire, UK. Specialising in building and scaling cloud-native, high-availability systems and translating complex research models into reliable, real-world products. Experienced in event-driven architecture, fault-tolerant design, and delivering scalable solutions under real-world constraints. Currently building AI-driven satellite analytics at Deep Planet AI — generating $110K+ in AWS cost savings and deploying ML systems at planetary scale.
Core Expertise
AI / ML Systems
Cloud Architecture
Full-Stack Engineering
Data & Databases
DevOps & Delivery
Enterprise Systems
Professional Experience
Full Stack Lead Engineer — AI & Geospatial Platform
Deep Planet AI (Space & Satellite)
- ▸Led end-to-end architecture of Deep Planet's AI-driven geospatial analytics platform — translating cutting-edge ML research into commercially deployed products
- ▸Designed scalable cloud-native architecture using TypeScript, NestJS, PostgreSQL, AWS services, and Nx monorepo
- ▸Integrated Python-based ML services enabling live AI across crop monitoring, harvest prediction, disease detection, and soil carbon modelling
- ▸Reduced AWS infrastructure costs by 70% — generating $110,000+ USD savings over three years while improving reliability
- ▸Implemented CI/CD pipelines using GitLab, strengthening release reliability and accelerating engineering velocity
Full Stack Developer — Research Platform
University of Hertfordshire
- ▸Designed middleware for real-time environmental data processing using Java Spring Boot and React for the LiveTap AI emission tracking platform
- ▸Integrated APIs, RabbitMQ, and Elasticsearch for high-throughput data ingestion pipelines
- ▸Deployed scalable AWS Elastic Beanstalk infrastructure supporting over 10,000 daily data requests
Principal Software Engineer
SAP Labs | NTT DATA
- ▸Architected SAP MRS integrations for Service Orders and Plant Maintenance across global enterprise clients
- ▸Created OSS Notes distributed via SAP Service Marketplace as official customer solutions
- ▸Engaged directly with global customers to translate complex business needs into enterprise-grade solutions
Software Engineer — SAP Developer
Cronos Unternehmensberatung GmbH
- ▸British Gas UK: Developed proxy interfaces for Pre-Payment Vend Systems and Smart Meter Infrastructure
- ▸Saudi Electricity Company: Designed Java API integrations for seamless SAP data transfer
- ▸Optimised metering operations for consumption accuracy across large-scale utility infrastructure
Software Engineer — SAP Developer
Cognizant / Valgen Business Solutions
- ▸Developed data integration interfaces for British Gas UK SAP FI-CA billing systems
- ▸Built automation programs for HHDC inspection uploads with email notification mechanisms
- ▸Created dynamic Smart Forms triggering notifications to service providers on new meter installations
Education
Master of Software Engineering with Advanced Research
University of Hertfordshire, United Kingdom
2019 – 2021
Bachelor of Engineering in Computer Science
Jawaharlal Nehru Technological University, India
2006 – 2010
Recognition & Distinctions
MSc Gold Award & Distinction
Top academic recognition for Software Engineering research, University of Hertfordshire, UK
SAP OSS Notes Author
Official technical solutions published to SAP Service Marketplace — available globally for customer download
$110,000+ Infrastructure Savings
Recognised engineering impact through architectural optimisation at Deep Planet AI
Production AI Deployment
Directly contributed to commercially deployed AI systems in sustainable agriculture at planetary scale via satellite data
Why I Built DSA Fun
After 12+ years of engineering interviews, mentoring developers, and watching talented engineers struggle with data structures and algorithms — I built DSA Fun to make this essential knowledge genuinely accessible. No paywalls, no fluff, just clear explanations and real code in JavaScript, Python, and Java.
DSA Fun is built on the same engineering principles I apply at Deep Planet AI — clean architecture, great developer experience, and systems that actually work in production.