MADHAVSUNIL
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01 WHO I AM
Building intelligent
systems that matter.
I'm a Software & ML Engineer with a B.Tech in AI & Robotics from VIT Chennai, currently building production AI systems at NeST Digital STC.
My work spans the full stack of intelligent systems: small language models that map industrial device data with measured precision and human review, document-to-data pipelines for engineering BOMs, self-hosted LLM platforms, and cloud-native Kubernetes infrastructure with full observability. I'm also a first-author researcher published in Springer Nature, bridging academic ML with real-world clinical impact.
I thrive at the intersection of AI research, DevOps, and robotics, building things that are both technically rigorous and genuinely useful.
madhav@ ~ $ whoami
madhav_sunil engineer researcher
madhav@ ~ $ cat interests.txt
LLMs · ROS2 · Kubernetes · Clinical AI · XAI
madhav@ ~ $ git log --oneline -3
a3f92c1 deploy llama inference on k8s cluster
bf04e2d ros2 slam navigation pipeline v2
9c1d8fa publish: springer nature paper accepted
bf04e2d ros2 slam navigation pipeline v2
9c1d8fa publish: springer nature paper accepted
madhav@ ~ $ uptime
available for exciting opportunities ▮
02 CAREER
May 2025 – Present
Software Engineer
NeST Digital STC
- Industrial IoT AI mapping: built the AI services that onboard industrial devices and standardise their telemetry, with a local 4B model reading OEM manuals and a 0.5B model mapping raw fields to a 10-industry canonical catalogue behind Designer/Challenger review, physical-unit checks and human approval. 100% precision on 90 held-out cases, 34 ms p99 latency, 986 automated tests, validated across 8 protocols (OPC-UA, MQTT, BACnet/IP, SNMP, REST, FTP, XMPP, OCPP).
- RFQ BOM intelligence: designed a four-stage pipeline turning customer technical data packs (PDF, Word, Excel, drawings, STEP/IGES) into structured engineering BOMs, with a 194-field extraction contract (74/74 validation checks) over 6,210 raw observations. Benchmarked PostgreSQL against Neo4j: 36/36 queries matched an independent oracle and PostgreSQL ran 3 to 4.6x faster at 124,202 records.
- Self-hosted AI platform: built an on-premise ML platform replacing a cloud AI accelerator suite (FastAPI, Next.js 14, PostgreSQL, Ollama, MinIO, Redis), with 201 API endpoints across RAG, NLP-to-SQL, fine-tuning, model registry, deployments and MCP, 17 Docker services with local, multi-tenant SaaS and edge modes, an agentic ML assistant (DeepSeek-Coder 33B) and 391 automated tests.
- ContractRAG: designed governed retrieval that binds every answer to an approved knowledge contract. In a live poisoned-corpus benchmark with an LLM generator it held knowledge leakage at 0% (vector and hybrid search: 60%), out-of-scope retrieval at 0% (vs 18%) and contract compliance at 100% (vs 40%), with zero unsafe or unsupported answers.
- Autonomous stair-climbing wheelchair: built the ROS2 Humble stack (10 packages, 61 nodes, 27 custom messages) for a hybrid wheelchair with mecanum drive and tri-star climb wheels: a 19-state controller using dual OAK-D depth cameras for stair-edge, drop-off and marker detection, IMU seat levelling, an STM32 motor bridge and an MQTT cloud layer. In a continuous 15.6-minute autonomous Gazebo mission it climbed 3 flights, descended 1, made 5 vision-guided turns and avoided an obstacle with zero manual takeovers.
- NLP-controlled robotic arm: 6-DOF arm driven by text or voice, using Whisper large-v3 and Llama 3.3 70B to produce servo plans for custom Arduino firmware, plus YOLOv8 vision with homography calibration for automatic targeting.
- Warehouse digital twin: headless FreeCAD-to-Unity pipeline converting CAD assemblies to glTF 2.0 and their mechanical joints into runtime Unity constraints.
- Reverse-engineered legacy systems and delivered end-to-end automation pipelines using RPA and Workato.
- Won First Prize in a company-wide Hackathon for an SQL-AI driven analytics platform.
Jun 2024 – Jul 2024
Summer Research Intern
Vellore Institute of Technology
- Conducted a comprehensive study on the relationship between pulmonary embolism (PE) and heart failure.
- Developed a hybrid deep reinforcement learning strategy (A3C + PPO) to enhance clinical model performance.
- Applied SMOTE and LIME, work that led directly to a peer-reviewed publication in Springer Nature.
Apr 2023 – May 2025
Data Science Team Mentor
IEEE RAS, VIT Chennai
- Mentored 20+ junior members in ML, deep learning and data pipeline design across hackathons and research projects.
Oct 2023 – Dec 2023
Student Intern
Tata Consultancy Services (TCS)
- Delivered two end-to-end computer vision projects covering image classification and object detection pipelines.
Aug 2023 – Dec 2023
Student Intern
INVIS Pvt. Ltd.
- Built an AI-powered speech-to-text module for automated meeting transcription using NLP pipelines.
- Developed intelligent web scraping systems for structured data extraction and downstream analytics.
03 CAPABILITIES
01
ML & AI
Deep LearningReinforcement LearningXGBoostTransformersTransfer LearningNLP & VisionLLaMAHugging FaceOllamavLLMQwenDeepSeek-CoderGroqClaude APIRAGMCPAI AgentsLLM EvaluationYOLOv8WhisperSMOTELIME
02
MLOPS & DEVOPS
Docker ContainerisationKubernetes OrchestrationHelm ConfigurationsTerraform IaaSCI/CD PipelinesModel DeploymentPrometheusGrafanaMLflowMicrosoft AzureCloudflare Workers
03
SWE & SYSTEMS
REST APIsSystems DesignData EngineeringFeature EngineeringWeb ScrapingRPA AutomationsFastAPIJinja2PydanticNext.jsTypeScriptC#PostgreSQLNeo4jWebSocketsSQLWorkato
04
ROBOTICS & INDUSTRIAL IoT
Simultaneous LocalisationEmbedded SystemsSensor FusionServo ControlUnity 3D SimulationROS2GazeboSTM32OPC-UAMQTTBACnetArduinoRaspberry Pi 5ESP8266FreeCAD
04 RESEARCH
Integrating Advanced Deep Reinforcement Learning and Explainable AI for Enhanced Pulmonary Disease Detection
Developed an interpretable deep RL framework (PPO + A3C) for early detection of pulmonary-embolism-induced heart failure. Integrated SMOTE-based class balancing and LIME-driven explainability to deliver clinically transparent, reliable predictions. Peer-reviewed and indexed in Springer Nature.
DOI: 10.1007/S44163-025-00560-X →05 WHAT I'VE BUILT
01
Rumourtown
A browser game where 36 villagers pass on a rumour you whisper, and their beliefs, friendships and grudges shift as it spreads. Runs on rumormind, my dependency-free TypeScript library for beliefs with provenance, using research-backed rules for trust, repetition and corrections. Deterministic and replayable; optional AI voices conversations behind a fail-closed spending cap.
rumourtown.dev ↗
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02
Aarangi
Online shop and inventory system for Aarangi, a handwoven saree boutique in Kollam, Kerala. Cloudflare Workers with Razorpay checkout (UPI, cards, EMI), 15-minute stock holds, sale pricing and a Google Shopping feed. A private staff portal with Access sign-in, D1 inventory and R2 photos gives every piece a permanent code.
aarangi.com ↗
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03
AI Infrastructure Generator
Points at any repository and automatically plans + generates production-ready Docker, Compose, Kubernetes, Helm, Terraform, and CI/CD configs using AI. Strict three-phase architecture: Understand → Plan → Generate. Full observability with Prometheus & Grafana.
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04
DL-In-Medic
Deep learning system for real-time dermatological screening using phone camera input with 3D augmentation and medical imaging classification.
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05
INVI Social Scraper
Automated web scraping system targeting social media platforms for structured data extraction, enabling downstream analytics and intelligence workflows.
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06
NLP Intelligence Agent
Autonomous agent that captures meeting audio, transcribes speech-to-text, generates AI-powered summaries, and auto-distributes updates to participants.
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SLAM Autonomous Bot
ROS2-powered indoor navigation robot using Simultaneous Localisation and Mapping (SLAM).
F1 Strategy AI
Pit-stop optimisation engine using F1 telemetry datasets and race simulation algorithms.
Vehicle Predict
Deep Reinforcement Learning model for automotive fault detection and predictive maintenance.
Water Quality Monitor
Raspberry Pi 5 multi-sensor IoT array for real-time environmental water safety analytics.
Smart Parking System
IoT-based live parking occupancy tracking with ESP8266 and ThingSpeak cloud integration.
Face Recognition Bot
Python-based real-time face identification and verification system.
06 ACADEMIC
2021 – 2025
B.Tech in Computer Science
VIT Chennai · AI & Robotics
Graduated with a CGPA of 8.46, specialising in AI theory, computational algorithms and applied robotics.
2019 – 2021
Class XII, CBSE
Suguna PIPS Coimbatore
2015 – 2019
Class X, CBSE
SN Trust Central School
07 CREDENTIALS
Generative AI Engineering & Fine-Tuning Transformers
IBM • Mar 2026
Machine Learning in Production
DeepLearning.AI • Mar 2026
Google AI Essentials V1
Google • Dec 2025
Problem Solving & Software Engineer
HackerRank • Aug 2025
Enterprise Automation Certification
Workato • Jun 2023
AI for Everyone
DeepLearning.AI • Feb 2023
08 LET'S CONNECT
I'm open to exciting roles in AI engineering, MLOps, software engineering, or research collaborations. Whether you have a project, opportunity, or just want to talk tech, reach out.
GETINTOUCH
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madhavsunil99@gmail.com