It starts at the grid.
High-power DC charging needs serious supply. I work on the electrical side — single-line diagrams, STS/ATS panels, panel layouts and cable requirements — so power reaches the site safely.
engineering intelligent energy.
I integrate battery storage, energy management and AI into high-power EV charging — so the network runs more efficiently, more intelligently and more reliably.
How energy flows · my work at each step
High-power DC charging needs serious supply. I work on the electrical side — single-line diagrams, STS/ATS panels, panel layouts and cable requirements — so power reaches the site safely.
01 — About

I'm an AI & Automation Engineer at Zeon Charging, where I develop the energy management system (EMS) — hardware and software — integrate battery storage with high-power DC chargers, and build the ML forecasting and LLM analytics that keep the network running.
Before that I led a 7-engineer team on IoT industrial automation and ran backend and cloud infrastructure for production platforms. I like owning systems end to end: hardware, protocols, data, models and deployment.
Kongu Engineering College
B.Tech in Artificial Intelligence & Machine Learning
2023 – 2027 · CGPA 7.44 / 10
Based in Tamil Nadu
Tiruppur, Tamil Nadu, India
AI & Automation Engineer at Zeon Charging
0%
less manual log analysis with LLM pipelines
#0
rank at Smart India Hackathon 2025 (pre-finals)
0.0%
uptime across AWS & GCP
0
engineers led on industrial automation
Live demo · simulated site
A simplified simulation of the EMS logic I'm developing at Zeon: the battery charges off-peak and from solar, then discharges to keep grid import under the site limit when evening demand peaks. One hour passes every 2.5 seconds.
Power flow
Battery SOC
82%
400 kWh · standby
DC chargers · 4/6 in use
24 h demand forecast
forecast import limit
02 — Experience
03 — Projects
230M+
components
99.9%
QR accuracy
72
REST APIs
SIH 2025 · Pre-Finalist · Rank 6
An SIH 2025 platform for the Ministry of Railways problem statement, designed to track 230M+ track components.
30%
less waiting
Live
camera feeds
2024 · Computer Vision
Signals that adapt to the traffic actually in front of them.
15+
appliances
3
sensor types
IoT Project
A Raspberry Pi 5 home that reacts to who's in the room, the temperature and the light.
04 — Skills
Languages01
AI / ML02
Energy & EV03
Industrial Comms04
Backend & Data05
Cloud & DevOps06
IoT & Embedded07
05 — Contact
I'm looking for AI, automation, energy-systems and backend roles where I can own systems end to end. Have a role or a project in mind? Write to me.