About
Systems engineering, applied to AI that has to hold up
Sumanth is an AI-first backend engineer and recent M.Tech graduate in Techno-Entrepreneurship from IIT Hyderabad, where he placed in the top 5% of the GATE 2024 CS/IT exam nationwide. His work sits at the intersection of systems engineering and applied AI — scalable microservices, agentic LLM workflows, and production RAG pipelines that hold up under real operational constraints: market gate-closures, offline devices, ISO-compliant documentation.
Most recently, he spent five months inside Greenko Group's Gen AI / Operations Research team, shipping a solver-acceleration proof of concept for grid-scale energy trading and a production AI agent for enterprise documentation — while finishing an edge-AI thesis on the side. Along the way, he's worked with student founders and researchers in Nagoya, Kyoto, and Shimane, and coordinated hospitality for SPIC MACAY's 10th International Convention at IIT Hyderabad.
He's especially drawn to problems where reliability matters as much as capability: a warm start that fails safely, an LLM that stays grounded in its sources, a pipeline built to survive production traffic rather than just a demo.
Featured build
GIMS AI Agent — automating ISO documentation at Greenko Group
The first in-house tool to generate native, editable IMS swimlane flowcharts — directly inside procedure documents.
"Automate procedure restructuring and flowchart generation while preserving full editability in Microsoft Word — without outsourcing."
Situation
Greenko's IMS procedure documents follow a strict ISO template — swimlane flowcharts, standards references, KPI tables, document control metadata. Every update was rebuilt by hand: slow, and easy to get wrong.
Action
- Split the work across 5 specialized pipelines — full restructuring on AWS Bedrock Claude, native Word DrawingML flowchart generation, prompt-driven document generation over SSE, an agentic chat assistant on self-hosted vLLM Qwen with web search for standards, and dual-mode template/input generation
- Shipped a Dockerized React + TypeScript multi-session interface with streaming responses, drag-and-drop uploads, and job-status tracking
- Hardened for production: nginx reverse proxy, Keycloak OIDC SSO, per-user allowlisting, fail-fast config checks
Result
Now live in production for one functional unit at Greenko (Company Secretarial / IMS documentation), architected to extend department-wide — with consistent document-control metadata and zero outsourcing.
Selected work
Projects
A curated set — from a production optimization POC to an M.Tech thesis on edge AI. Full detail available on request.
Warm-Start Optimization POC (GEMOS)
Greenko's Day-Ahead Market solver rebuilt its optimization from scratch every day, even though the problem barely changes. I designed and benchmarked two warm-start strategies — reusing yesterday's solution (D-1) and last week's same-weekday solution (D-7) — feeding prior solver states in as an MIP start.
The harder part was the failure mode: warm starts silently broke when a contract changed the problem's structure, even though every variable bound still checked out. I traced it to a constraint the old solution never accounted for, then built the safeguard — validate first, fall back to cold start on any doubt.
KathaMitra — offline AI storytelling for kids
An Android app that turns screen time into Socratic reflection for 9–12-year-olds — narrated stories drawn from Indian epics, followed by open-ended questions the child talks through out loud. Every bit of it runs on-device.
The tricky part was handling how kids actually talk — code-switched Hindi/English speech. I designed a "Symmetric Context" retrieval step that pulls clean English narrative concepts from Hinglish speech before querying the local vector index, then fuses that back with the child's original words so responses stay in their natural voice, grounded in verified stories rather than improvised.
Scientific Diagram Captioning
A multimodal system that reads scientific diagrams and writes their captions — combining CLIP and Vision Transformers for visual understanding with BART for generation.
Toxic Content Detection
Binary and multi-class classifiers to flag harmful social media content for automated safety screening, fine-tuning HateBERT on the DHate dataset.
Biogas Supply Chain Optimization
A multi-period optimization model for sourcing and blending four waste feedstocks across four Telangana biogas plants — maximizing profitability across a full year of seasonal variation.
Sarvam AI: Building India's Sovereign Generative AI
A strategic study of Sarvam AI's voice-first multilingual strategy — business model, competitive position, and route from seed stage to enterprise deployment, including the trade-offs around Indic-language models and data sovereignty.
Global collaborations
Applied research and strategy work alongside international student founders and researchers.
Nagoya University · Feb 2025
Tongali Overseas Project — refined startup business models and marketing strategy with Japanese student founders.
J-StarX × IIT Hyderabad · Feb 2025
Assessed India's parental-control-app market for a Japanese child-safety startup; built the reverse market-entry pitch.
Kyoto University · Sep 2025
Deep-Tech Entrepreneur Spirits — mapped urban-sustainability challenges under SDG 11 with Kyoto University students.
Shimane University · Sep 2025
Presented ongoing thesis research, exchanging perspectives on innovation and applied research.
Toolbox
Skills
Languages & Data
- Python
- C++
- MySQL / PostgreSQL
- MongoDB
AI / ML
- LangChain / LangGraph
- Transformers, BERT / HateBERT
- CLIP, Vision Transformers, BART
- LSTM, contrastive & generative modeling
Backend & Platforms
- FastAPI, Docker
- React, Keycloak
- Ray, vLLM, AWS Bedrock
- sqlite-vec, MediaPipe
Systems
- Systems design
- Distributed computing
- Algorithms
- Mixed-integer programming / OR
Always shipping, always learning
Continuous learning
Ultimate RAG — Krish Naik Academy
4 months · 16 modules · 5 projectsAlongside shipping production RAG systems at Greenko, Sumanth completed a 4-month intensive covering the full retrieval-augmented generation stack — from foundational similarity search to production deployment on Kubernetes. It closes the loop between what he builds on the job and what's next in the field.
Core retrieval
RAG foundations, LangChain, LlamaIndex, Haystack, document parsing
Advanced retrieval
Hybrid search & reranking, Self-RAG, Graph RAG, query expansion (HyDE)
Agentic & multimodal
LangGraph, ReAct agents, multimodal RAG (CLIP + Whisper), Model Context Protocol
Shipping it
Docker, Kubernetes (AWS EKS), CI/CD, evaluation & monitoring
5 end-to-end projects built, including an MCP-integrated code-review assistant and a cloud-deployed multimodal RAG system on AWS EKS.
Timeline
Experience & education
JAN 2026 — JUN 2026 · HYDERABAD
Intern, Gen AI / Operations Research
Greenko Group
Delivered two production-oriented projects in under five months — a warm-start solver POC for energy-market optimization and a production-deployed AI documentation agent — while completing an M.Tech thesis in parallel.
- Warm-Start Optimization POC (Jan – May): up to 71.3% solver runtime reduction across 8 benchmark cases
- GIMS AI Agent (May – Jun): production-deployed 5-pipeline document automation platform with SSO
2026
M.Tech, Techno-Entrepreneurship
IIT Hyderabad · CGPA 8.73
Coursework spanning NLP, computer vision, deep learning, strategic management, operations management, and design thinking — bridging deep technical work with product and market strategy.
FEB 2025 — SEP 2025
International research & strategy collaborations
Nagoya University · Kyoto University · Shimane University · J-StarX
Worked with student founders and researchers across Japan on market-entry strategy, urban sustainability (SDG 11), and applied AI research exchange.
2024
B.Tech, Computer Science and Engineering
Malla Reddy College of Engineering · CGPA 7.50
NOV 2024 — JUN 2025
Leadership & recognition
SPIC MACAY, IIT Hyderabad Chapter
- Hospitality Coordinator, SPIC MACAY IIT Hyderabad Chapter and its 10th International Convention
- Third place, International Yoga Day Competition, IIT Hyderabad
Get in touch
Let's build something that has to work in production.
Open to backend and AI engineering roles — especially where production RAG, agentic systems, or optimization meet real infrastructure constraints.