B.M.S. College of Engineering (BMSCE), Bangalore, India

I am an engineering undergraduate studying Electronics and Communication Engineering (ECE) at BMS College of Engineering, Bangalore.

My core focus is at the convergence of Embedded Systems, Physical AI, Humanoid Robotics, Industrial Automation, and the Clean Energy Transition. Moving away from pure software abstraction, my work operates across the entire hardware-software continuum—from silicon, circuit dynamics, and bare-metal firmware to low-latency edge inference, closed-loop physical actuation, and distributed systems.

By grounding myself in ECE, I bridge fundamental physics, circuit dynamics, and signal processing with embodied machine intelligence. I build practical systems that interact directly with the physical world: soldering circuits, writing low-overhead microcontroller firmware (C/C++ / Arduino), designing real-time edge AI pipelines (INT8 TFLite / OpenCV), building low-latency systems infrastructure (Swift / C++ / Python), and engineering electro-mechanical machines that solve real-world industrial and energy bottlenecks.

A common misconception is that choosing hardware or electronics is an escape from software. For me, the exact opposite is true: I did not take ECE to run away from coding—I chose ECE because I love programming so much that I want to bring it to life in the physical world.

Having built 80+ physics engines, interactive prototypes, and production web platforms since 7th grade, software is second nature to me. I enter ECE already equipped with strong foundational Computer Science & Engineering (CSE) capabilities:

• 🌐 Production Full-Stack & Frontend Engineering: Extensive experience architecting modern full-stack web applications, rich interactive user interfaces (React, Next.js, Tailwind CSS, Canvas 2D / WebGL), API microservices, and databases.
• ⚡ Competitive Programming & Algorithmic Rigor: Actively sharpening data structures, graph theory, dynamic programming, and computational complexity analysis.
• 🧠 The Physical AI Thesis (Why Hardware Matters): With Generative AI, LLMs, and agentic code synthesizers handling an ever-growing share of pure screen-bound software tasks, digital-only development is no longer the principal engineering bottleneck. The true challenge and passion lies in manifesting intelligence into the physical world—where code isn't trapped in a browser, but directly drives motors, interprets analog sensors, manages battery energy storage, and obeys physical laws (Kirchhoff's laws, thermodynamics, mechanical torque, inertia, and deterministic clock cycles).

I treat software and algorithms as an indispensable foundational prerequisite and force multiplier, allowing me to concentrate my primary engineering firepower on embodied intelligence, embedded systems, robotics, and energy infrastructure that operate in physical reality.

My long-term aspiration is to build systems for technological self-reliance, physical intelligence, and the global clean energy transition:

• 🤖 Physical AI & Humanoid Robotics: Bringing artificial intelligence out of passive screens into physical reality. Building embodied AI systems that couple multi-modal perception with real-world kinematics:

  • Multi-sensor fusion (computer vision, IMUs, ultrasonic, optical encoders).
  • Low-latency closed-loop motor actuation (differential drive, servo control, high-torque micro-stepping).
  • On-device real-time neural inference without relying on sluggish cloud round-trips.

• ⚡ Embedded Systems & Hardware-Software Co-Design: Engineering deterministic, bare-metal systems with high power efficiency and sub-millisecond response times:

  • Microcontroller firmware (Arduino, ARM Cortex, register-level PWM timing, non-blocking state machines).
  • High-speed communication buses and telemetry protocols (UART, SPI, I2C, CAN, Bluetooth SPP, zero-copy IPC).
  • Direct hardware video acceleration (Apple Silicon VideoToolbox 10-bit HEVC pipeline in AndroiDisplay).

• 🏭 Industrial Automation & Process Modernization: Eliminating labor bottlenecks and human error across core physical industries:

  • Agro-Industrial Machine Automation: Built the arecanut-ai-sorting-machine prototype to classify and physically sort the 4 canonical Malnad regional varieties (Gorabalu, Goto, Rashi Edi, and Hasa) using dual-stream MobileNetV3 (<22ms) and non-blocking Arduino actuation (starwheel indexing, jam-clearing micro-reverse, and 4-way SG90 diverters) targeted for cooperative scaling with MAMCOS & NAMCOS.
  • Precision Agritech Digital Twins: Spatial modeling and live hydraulic physics simulation for estate resource optimization (coconut-farm-digital-twin).

• 🔋 Clean Energy Transition & Smart Power Systems: Passionate about the engineering required to power the sustainable future:

  • Battery Energy Storage Systems (BESS) telemetry, cell health monitoring, and battery management systems (BMS).
  • High-efficiency power electronics, inverter drives, and motor speed control.
  • Energy-aware edge compute architectures that minimize idle power consumption.

• ⚙️ Compute Cost Optimization & High-Efficiency Infrastructure: Eliminating the astronomical costs and fragility of cloud-only compute by pairing local edge silicon with intelligent routers (e.g., parallel-ai, featuring a 125k+ msg/s lock-free IPC broker and autonomous self-healing AST repair loops).

• 🔬 The ECE Advantage (Silicon to Intelligence): Deep first-principles understanding of semiconductors, circuit fundamentals, electromagnetics, signal processing, and RF/serial protocols, combined with modern software architectures.

I believe the best way to master engineering is to build systems from first principles across both physical and digital layers:

• ⚡ Distributed AI & Concurrency Engineering: Built Parallel AI (PAI) (parallel-ai)—a concurrent multi-agent router fanning out prompts to Google Gemini (Antigravity Coordinator), Nemotron 3 Ultra 550B (Deep Cloud Reasoner), and Qwen 2.5 Coder (Local 7B), featuring an autonomous Self-Healing AST Execution Engine (validated across 186 continuous benchmark runs) and a 125k+ msg/s lock-free zero-copy IPC broker.
• 🌰 Agro-Industrial Automation: Designed and built a physical Areca Nut AI Sorting Machine (arecanut-ai-sorting-machine) prototype for 4 Malnad regional grades (Gorabalu, Goto, Rashi Edi, Hasa) combining dual-stream on-device TFLite (<22ms) with zoom-conditioned texture attention and an Arduino Uno (25ms starwheel indexing, 15ms throat micro-reverse, and 4-way SG90 diverter gate over Bluetooth SPP) targeted for cooperative scaling with MAMCOS & NAMCOS.
• 🖥️ Low-Level Display Systems: Engineered AndroiDisplay (AndroiDisplay), bridging macOS Apple Silicon hardware video encoders (hevc_videotoolbox) with Android hardware decoders over ADB USB reverse tethering—delivering a native 120 FPS 10-bit zero-lag display extension.
• 🤖 Autonomous Vision-Guided Robotics: Built an autonomous Lunar Rover prototype integrating an Arduino Uno, Sensor Shield V5.0, L298N dual H-bridge motor drivers, DC geared motors, servo mechanisms, and HC-SR04 ultrasonic sensors. The rover mounts a smartphone running an on-device computer vision crater detection model, computing real-time coordinate offsets ($\Delta x, \Delta y$) and steering via closed-loop differential turning algorithms.
• 🌴 Agritech Digital Twin & Hydraulics: Built the Coconut Farm Digital Twin (coconut-farm-digital-twin), modeling 1,300+ tree twins, Hazen-Williams friction head losses, pump drag-binding, and aerial canopy segmentation.
• 💻 Early Foundations (2020 / 7th Grade): Earned the WhiteHat Jr Full Stack Certification at age 12, building 80+ physics engines, games, and web prototypes.
• 🎮 Collaborative Team Engineering (8th Grade): Co-founded The-Games-Team organization with online peers to collaboratively develop 2D platformers and arcade mechanics using pure JavaScript and Matter.js.
• 🌐 Pre-AI Commercial Web Development (9th–10th Grade): Handcrafted and deployed production websites for commercial clients and art studios (JeevaArtSchool, OhmPraunicYogaCentre, AnugrujaArtsStudio).
• 🔬 Intensive Analytical Foundation (2024–2026): Dedicated 2 years to rigorous national competitive entrance exams (IIT-JEE), developing deep first-principles problem-solving skills across Physics (mechanics, electromagnetism, circuits), Chemistry, Calculus, and Logic.

• Embedded Systems & Microcontrollers: Arduino Uno, ARM Cortex architectures, Sensor Shield V5.0, L298N Dual H-Bridge Drivers, SG90 Servo Motors, HC-05 Bluetooth SPP Module, HC-SR04 Ultrasonic Sensors, DC Geared Motors, PWM Actuation, Non-blocking State Machines, Circuit Wiring & Breadboarding
• Physical AI, Robotics & Edge Vision: TensorFlow Lite (INT8 / FP16 Quantization), OpenCV, MobileNetV3 Dual-Stream Texture Attention, CameraX Integration, Sensor Fusion, Closed-Loop Differential & Servo Kinematics
• Communication Protocols & Low-Level Interfaces: UART, SPI, I2C, CAN Bus Basics, TCP/UDP Sockets, Bluetooth Serial (SPP), macOS launchd daemons, ADB Bridge, HEVC/H.265 Hardware Video Streaming, Lock-Free Ring Buffers, Zero-Copy Memory Slicing (memoryview / ctypes)
• Programming Languages: C / C++ (Embedded Wiring / Systems), Python 3.12+, Swift, TypeScript, JavaScript (ES6+), C#, Shell Scripting (Zsh/Bash)
• Foundational CS, Full-Stack & Algorithms: Full-Stack Web Development (React 18, Next.js 14, Tailwind CSS, Canvas 2D / WebGL, Node.js, FastAPI, PostgreSQL), Data Structures & Algorithms, Competitive Programming, Git Flow
• Energy Transition & Industrial Telemetry: Battery Energy Storage (BESS) Telemetry, Smart Grid Interfacing, Solar Resource Monitoring, Pump Head Loss & Hydraulic Flow Dynamics (Hazen-Williams), Power Electronics Efficiency Modeling

Open to collaborative projects in embedded systems, physical AI, humanoid robotics, industrial automation, and the clean energy transition.