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Nithyaneshwar A — IoT Engineer and Edge AI Developer
BMS College of Engineering  ·  Bangalore, India

NITHYANESHWAR A

IOT & EMBEDDED SYSTEMS   ·   EDGE AI

SCROLL
PORTFOLIO · 2025

IoT Engineer and Edge AI Developer pursuing a B.E. in Computer Science and Engineering at BMS College of Engineering, Bangalore. Experienced in building edge AI systems, fine-tuning Vision Language Models and developing UWB-based drone localization solutions.

Led development spanning digital twins, smart infrastructure, predictive analytics and embedded IoT systems. IEEE Executive Committee member with a strong passion for drones, robotics, and autonomous systems.

Drones Robotics Edge AI IoT Systems Motorcycles Mountain Biking Cybersecurity Hardware Tinkering

Education

Sep 2024 — Present
B.E. Computer Science & Engineering BMS College of Engineering, Bangalore IoT & Cybersecurity · Blockchain Technology
2022 — 2024
Pre-University (PCME) St Josephs Pre-University College, Bangalore Physics · Chemistry · Mathematics · Electronics

Where I've Worked

Intern

IEEE CS IAMPro Program
Apr 2026 — Present
  • Building a voice-based emotion recognition model to address the gap in AI systems that rely solely on TTS without real emotional context awareness
  • Working on audio feature extraction and lightweight model architectures for real-time inference
Emotion AIAudio MLTTSPythonLightweight Models

Intern

First2Serve
Feb 2026 — Jun 2026
  • Fine-tuned Vision Language Models on large image datasets using LoRA and LLaMA Factory
  • Implemented UWB-based 3D drone localization system using anchor-based positioning
  • Built and deployed edge devices for real-world IoT applications
VLMsLoRALLaMA FactoryUWBDrone SystemsEdge IoT

Freelancer

Remote
2021 — 2024

Provided custom software development services for clients, building backend systems, databases, automation tools and server-side applications. Collaborated directly with stakeholders to translate requirements into working solutions, maintaining deployed systems supporting 300+ active users.

Full StackBackendAutomationDatabaseClient Management

Featured Work

← scroll to explore →
01 🏆 Sensors Enclave 24H Winner

AEGIS

Women's Safety Watch

IoT-based emergency response system combining scream detection, computer vision, GPS tracking and physical triggers. Automatically captures nearby faces and streams incident data to a centralized police dashboard in real time.

IoTComputer VisionGPSEdge AIRaspberry Pi
02

INTERCEPTOR 650

CAN Bus Hack

Reverse-engineered CAN bus communication on a Royal Enfield Interceptor 650 instrument cluster. Repurposed the speedometer as a real-time system telemetry display for CPU temperature — bridging automotive and embedded engineering.

CAN BusReverse EngineeringC/C++EmbeddedTelemetry
03

NAUTILUS

Real-Time Maritime Supply Chain Predictor

GNN and TinyML-based forecasting platform that predicts disruptions across global shipping routes. Estimates delay impact, cost increases, and alternative routing strategies during maritime route closures.

GNNTinyMLForecastingPythonSupply Chain
04

URBAN TWIN

2D Digital Twin of Bangalore

City-scale digital twin simulating water and power infrastructure networks. Models cascading failures and integrates IoT-based pressure analysis for pipeline damage classification across Bangalore's infrastructure grid.

Digital TwinIoTSimulationInfrastructurePython

What I Work With

01 Programming Languages

Python C/C++ Java JavaScript

02 AI & Machine Learning

LLaMA Factory Computer Vision Vision Language Models TinyML GNNs LoRA Fine-tuning

03 Embedded & IoT

Raspberry Pi ESP32 STM32 MQTT CAN Bus UWB Sensor Integration Edge AI Deployment

Positions & Roles

ExeCom Member BMSCE IEEE Student Branch · Current
SAC Coordinator BMSCE IEEE Student Branch · Previous Year
President & Vice President CS Association SJPUC · 2022–2024
Google Student Ambassador 2025
AI-Assisted Creation

Built With
Intelligence.

This portfolio was designed and built with the assistance of AI tools — and that's entirely intentional.

As an engineer working at the intersection of hardware and artificial intelligence, I believe in leveraging every powerful tool available. Just as I use LLaMA Factory to fine-tune models and UWB for precision drone positioning, I use AI coding assistants to accelerate development without compromising on craft or understanding.

The ability to work effectively with AI — to prompt with precision, iterate on output, and know when to override — is itself a critical engineering skill in 2026. This site doesn't just showcase my projects; it demonstrates that philosophy in practice.

build.log
$ designed --tool="AI Assistant"
$ built --stack="Python + Flask"
$ animated --library="GSAP"
$ hero_image --generated="AI · Custom Prompt"
$ deployed --by="Nithyaneshwar A"
$

Let's build
something.

Currently available for internships, collaborations, and interesting problems.