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

I am a 1st-year undergraduate student studying Computer Science & Business Systems (CSBS) at BMS College of Engineering, Bangalore.

I love building practical systems that connect physical hardware, low-level software, and business-driven automation. Rather than focusing purely on abstract theory or demo applications, my work centers around hands-on engineering: soldering circuits, writing microcontroller firmware (Arduino / C++), designing edge AI pipelines (TensorFlow Lite / OpenCV), engineering low-overhead macOS/mobile tools (Swift / Flutter), and optimizing distributed software systems.

Through my CSBS curriculum, I am actively pairing deep technical engineering with macro business thinking—evaluating unit economics, operational efficiency, supply chain bottlenecks, and the commercial scalability of emerging technologies.

My core long-term aspiration is to contribute toward technological self-reliance, clean energy adoption, and industrial modernization—designing automated, resource-efficient systems for India and the world:

• 🔋 Clean Energy Transition & Smart Systems: Fascinated by the massive global and domestic shift toward sustainable power. Interested in exploring smart grid infrastructure, distributed energy storage systems (BESS), solar/wind asset telemetry, power electronics efficiency, and energy-aware computing.
• 🏭 Industrial Automation & Process Modernization: Dedicated to eliminating manual bottlenecks in traditional industries through robust physical automation and edge computing:
  • Agricultural Automation & Quality Grading: Built the arecanut-ai-sorting-machine prototype to classify and physically sort the 4 canonical varieties of the Malnad region (Gorabalu, Goto, Rashi Edi, and Hasa) using on-device dual-stream MobileNetV3 and non-blocking Arduino actuation, with plans for industrial R&D scaling with MAMCOS and NAMCOS.
  • Agritech Digital Twins & Spatial Asset Tracking: Converting aerial sensor/drone data into actionable farm management and yield forecasts (e.g., coconut-farm-digital-twin).
  • Electric Mobility & Telemetry: Sensor interfaces, battery health monitoring, and efficient motor control for electric vehicles.
• ⚙️ Compute Cost Optimization & High-Efficiency Systems: Engineering software and AI systems that run cost-effectively by prioritizing local compute over expensive cloud APIs and utilizing zero-copy, lock-free concurrency (e.g., parallel-ai).
• 📈 The CSBS Advantage (Engineering Meets Economics): Leveraging first-principles STEM problem-solving alongside business systems analysis—evaluating ROI, operational throughput, labor cost reduction, and capital efficiency across every engineering project.

I believe the best way to understand systems is to build them from the ground up 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 the 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.
• 🤖 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.
• 💻 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.

• Microcontrollers & Hardware Prototyping: Arduino Uno, Sensor Shield V5.0, L298N Dual H-Bridge Drivers, SG90 Servo Motors, HC-05 Bluetooth Module, HC-SR04 Ultrasonic Sensors, DC Geared Motors, PWM Actuation, Circuit Wiring & Breadboarding
• Programming Languages: Python, C/C++ (Arduino / Systems), Swift, TypeScript, JavaScript (ES6+), C#, Shell Scripting (Zsh/Bash), HTML5/CSS3
• Frameworks & Edge AI: Flutter (CameraX), TensorFlow Lite (INT8/FP16 Quantization), OpenCV, Next.js 14, React Konva, FastAPI, Node.js, LiteLLM, Google Antigravity SDK
• Systems, Concurrency & Low-Level: macOS launchd daemons, ADB Bridge, HEVC/H.265 Hardware Video Streaming, Lock-Free Ring Buffers, Zero-Copy Memory Slicing (memoryview / ctypes), TCP/UDP Sockets, GeoJSON, Git

Open to collaborative projects in hardware-software integration, industrial automation, clean energy tech, and systems engineering.