Trivandrum & Chennai, India

MadhavSunil

Software Engineer|AI/ML Engineer|MLOps Engineer|Published Researcher|Robotics Engineer
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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 — from training and fine-tuning large language models to deploying them inside 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
$ cat interests.txt
LLMs · ROS2 · Kubernetes · Clinical AI · XAI
$ git log --oneline -3
a3f92c1 deploy llama inference on k8s cluster
bf04e2d ros2 slam navigation pipeline v2
9c1d8fa publish: springer nature paper accepted
$ uptime
available for exciting opportunities ▮
02
Capabilities

Technical Arsenal

ML
ML & AI
Deep LearningReinforcement LearningXGBoostTransformersFine-Tuning (LoRA/QLoRA)Transfer LearningNLPComputer VisionExplainable AI (LIME)LSTMAnomaly Detection
LLM
LLM & GenAI
LLaMAHugging FacePrompt EngineeringLLM DeploymentOllamaClaude APISMOTEPEFT
OPS
MLOps & DevOps
DockerKubernetesHelmTerraformPrometheusGrafanaCI/CDMLOpsModel DeploymentMicrosoft AzureTDDSystems Design
SWE
Frameworks & Data
FastAPIJinja2Pydantic v2Next.jsREST APIsRPASQLData EngineeringFeature EngineeringWeb ScrapingOpenCVWorkato
ROS
Robotics & Embedded
ROS2SLAMRaspberry Pi 5ESP8266IoTServo RoboticsUnity 3DSensor Fusion
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Languages & Tools
PythonJavaCC++GitGitHubPostmanCisco Packet Tracer
03
Career

Work Experience

May 2025 – Present
Software Engineer
NeST Digital STC · Thiruvananthapuram, Kerala
  • Perform reverse engineering on embedded and legacy systems to analyse, document, and improve existing technical architectures.
  • Design and deploy end-to-end automation pipelines and intelligent workflows using RPA and Workato to optimise engineering operations.
  • Develop and prototype AI models including LLM integrations using LLaMA for applied NLP, reasoning, and generative AI tasks; built MLOps and CI/CD pipelines.
  • Build robotics solutions with ROS2, contributing to autonomous navigation, sensor fusion, and multi-module pipeline development.
  • Create hardware-software prototypes combining AI inference with embedded IoT systems for industrial use cases; leveraging Microsoft Azure for cloud deployment.
Won First Prize in a company-wide Hackathon for building an SQL-AI driven analytics platform
Jun 2024 – Jul 2024
Summer Research Intern
Vellore Institute of Technology · Chennai
  • Conducted a comprehensive study on the relationship between pulmonary embolism (PE) and heart failure, focusing on AI solutions for accurate predictions.
  • Developed a hybrid deep reinforcement learning strategy incorporating A3C and PPO methods to enhance model performance on clinical data.
  • Applied SMOTE for class balancing and LIME for model interpretability — work that directly led to a peer-reviewed publication in Springer Nature.
Apr 2023 – May 2025
Data Science Team Mentor
IEEE Robotics & Automation Society (RAS), VIT Chennai
  • Led RAS data science projects, hackathons, and research-driven initiatives focused on robotics and AI.
  • Mentored 20+ junior members in machine learning, deep learning, data pipeline design, and research methodology.
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.
04
Research

Published Work

First Author · Springer Nature — Discover Artificial Intelligence · 2025
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

Featured Projects

Featured · Open Source
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.
FastAPIOllamaClaude APIJinja2Pydantic v2Next.jsKubernetesHelmTerraformPrometheusGrafanaCI/CD
↗
Healthcare AI
DL-In-Medic
Deep learning system for real-time dermatological screening using phone camera input with 3D augmentation and medical imaging classification.
PythonDeep LearningComputer Vision3D AugmentationMedical Imaging
↗
Data Intelligence
INVI — Social Scraper
Automated web scraping system targeting social media platforms for structured data extraction, enabling downstream analytics and intelligence workflows.
PythonWeb ScrapingNLPData EngineeringAnalytics
↗
Project
SLAM Autonomous Bot
ROS2-powered indoor navigation robot using Simultaneous Localisation and Mapping (SLAM).
ROS2SLAMRoboticsNavigation
Project
F1 Strategy AI
Pit-stop optimisation engine using F1 telemetry datasets and race simulation algorithms.
PythonRLSimulationTelemetry
Project
Vehicle Predictive Maintenance
Deep Reinforcement Learning model for automotive fault detection and predictive maintenance.
Deep RLXGBoostIoTPrediction
Project
Water Quality Monitor
Raspberry Pi 5 multi-sensor IoT array for real-time environmental water safety analytics.
Raspberry PiIoTSensorsEdge
Project
Smart Parking System
IoT-based live parking occupancy tracking with ESP8266 and ThingSpeak cloud integration.
ESP8266IoTCloudThingSpeak
Project
Face Recognition Bot
Python-based real-time face identification and verification system.
PythonOpenCVDeep Learning
06
Academic

Education

B.Tech in Computer Science
VIT Chennai — AI & Robotics Specialisation
2021 – 2025
8.46 CGPA
Class XII — CBSE
Suguna PIPS Coimbatore
2019 – 2021
93.8%
Class X — CBSE
SN Trust Central School
2015 – 2019
95.8%
07
Credentials

Certifications

◆
Generative AI Engineering & Fine-Tuning Transformers
IBM
Mar 2026
◆
Machine Learning in Production
DeepLearning.AI
Mar 2026
◆
Google AI Essentials V1
Google
Dec 2025
▸
Use AI Responsibly
Google
Nov 2025
▸
Discover the Art of Prompting
Google
Nov 2025
▸
Maximize Productivity with AI Tools
Google
Nov 2025
▸
Introduction to AI
Google
Nov 2025
◆
Problem Solving & Software Engineer
HackerRank
Aug 2025
◆
Enterprise Automation Certification
Workato
Jun 2023
▸
AI for Everyone
DeepLearning.AI
Feb 2023
▸
Introduction to Packet Tracer
Cisco
Apr 2023
08
Let's connect

Get in Touch

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.

madhavsunil99@gmail.comLinkedInGitHubResearch Paper