Open to AI · Automation · Energy rolesAI · Automation · Energy Systems

    Bharanidharan R N — AI, Automation & Energy Systems Engineer

    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

    01/ 05 · Grid & Transformer

    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.

    01 — About

    I build the brains behind energy systems — from the battery to the cloud.

    Bharanidharan R N, AI & Automation Engineer
    OPEN TO ROLES · AI · AUTOMATION · ENERGY · ⚡

    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

    The EMS, live.

    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.

    EMS · Demo site TPR-01Simulated
    17:30

    Power flow

    Grid116 kWSolar8 kWBESS0 kWChargers124 kWEMS

    Battery SOC

    82%

    400 kWh · standby

    DC chargers · 4/6 in use

    CP1
    CP2
    CP3
    CP4
    CP5
    CP6

    24 h demand forecast

    forecast import limit

    00:0006:0012:0018:0024:00

    Event log

    • Waiting for events…

    02 — Experience

    Where I've shipped.

    • Integrating Battery Energy Storage Systems (BESS) with high-power DC EV chargers and the grid, working on STS/ATS panels, Single-Line Diagrams (SLDs), panel layouts, and cable requirements
    • Troubleshooting BESS operational issues including off-grid operation, phase failure, and SOC protection, tracing root causes across hardware, controller, and communication layers
    • Developing the site Energy Management System (EMS) end to end — hardware (EMS controller and industrial edge computer, integrated with BESS and chargers) and software (control logic for time- and SOC-based grid/BESS priority switching, voltage monitoring, fault alerts, and remote diagnostics)
    • Specifying communication between EMS, BESS, and chargers over RS485, Modbus TCP, and MQTT, using edge computing for local control and monitoring
    • Building AI/ML-based EV charging demand forecasting models to plan battery dispatch and charger capacity
    • Engineered LLM-powered analytics pipelines on OCPP 1.6 charger logs for automated fault detection and operational reporting, reducing manual analysis time by 70%
    • Exploring intelligent BESS analytics and energy optimization to reduce grid dependency and improve charger uptime through automation
    • Preparing technical requirement documents and coordinating with BESS/EMS vendors on datasheets, quotations, Factory Acceptance Tests (FAT), dispatch, and delivery timelines
    • Led a team of 7 engineers delivering IoT-driven industrial automation, integrating sensors, microcontrollers, and cloud services with real-time data visualization
    • Implemented CI/CD pipelines using Jenkins, Docker, and Kubernetes, achieving zero-downtime deployments and 40% faster release cycles
    • Designed and deployed backend systems for farishtey.in and chotacop.in, integrating OCR pipelines using Amazon Textract and Google Vision API
    • Managed multi-cloud infrastructure across AWS and GCP, achieving 99.9% uptime through automated monitoring and deployment workflows

    03 — Projects

    Things I've built.

    230M+

    components

    99.9%

    QR accuracy

    72

    REST APIs

    01

    SIH 2025 · Pre-Finalist · Rank 6

    QR-Based Railway Track Component Management System

    An SIH 2025 platform for the Ministry of Railways problem statement, designed to track 230M+ track components.

    • CNN-based QR verification at 99.9% accuracy, plus defect detection for predictive maintenance on Raspberry Pi 5 with OpenCV
    • Backend of 72 REST APIs on MongoDB and Apache Kafka, designed for 10,000+ concurrent users
    • Offline-capable mobile inspection app with GPS tagging and failure forecasting
    PythonOpenCVCNNRaspberry Pi 5
    Read case study

    30%

    less waiting

    Live

    camera feeds

    02

    2024 · Computer Vision

    AI-Based Traffic Signal Optimizer

    Signals that adapt to the traffic actually in front of them.

    • Real-time vehicle detection and density analysis with OpenCV and deep learning on live camera feeds
    • Adaptive signal control cut average wait times by 30% and improved peak-hour flow
    OpenCVDeep LearningPython
    Read case study

    15+

    appliances

    3

    sensor types

    03

    IoT Project

    Smart Home Automation System

    A Raspberry Pi 5 home that reacts to who's in the room, the temperature and the light.

    • Controls 15+ appliances using DHT22, PIR and LDR sensors with occupancy- and environment-based rules
    Raspberry Pi 5IoTSensors
    Read case study

    04 — Skills

    The toolbox.

    Languages01

    PythonJavaScript / TypeScriptNode.jsC / C++Java

    AI / ML02

    TensorFlowPyTorchScikit-learnOpenCVComputer VisionCNNsTime-Series Forecasting

    Energy & EV03

    BESS IntegrationEMS Development (HW + SW)OCPP 1.6DC Fast ChargingSTS/ATS PanelsSLDsSOC Management

    Industrial Comms04

    Modbus TCPRS485MQTTEdge ComputingI2CSPI

    Backend & Data05

    FastAPIExpress.jsFlaskPostgreSQLMongoDBRedisKafka

    Cloud & DevOps06

    AWS (EC2, S3, Lambda, Textract)GCPDockerKubernetesJenkinsCI/CDGit

    IoT & Embedded07

    Raspberry Pi 5ESP32 / ESP8266Sensor Integration

    05 — Contact

    Let's build what powers what's next.

    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.