Hi there, I'm Vichruth M! 👋 🚀 About Me
I'm a Computer Science Engineering student (B.Tech 2024–2028, VIT) specializing in the intersection of Artificial Intelligence, Computer Vision, and Edge Computing.
My core focus is taking complex machine learning architectures and deploying them directly onto hardware. I am currently working on Embedded Machine Learning (TinyML) projects and real-time vision pipelines. As an aspiring automotive and edge AI researcher, I am deeply passionate about autonomous vehicle dynamics, ECU development, and high-performance engineering. 🛠 Tech Stack
Languages: Python, C++, Java, Dart, SQL
AI/ML & Data Science: PyTorch, TensorFlow, Scikit-Learn, XGBoost, Pandas, NumPy
Computer Vision & GenAI: Person Re-ID, Generative AI, LLMs, PEFT LoRA, Sentence-Transformers, Transfer Learning
Embedded & Hardware: ESP32, Arduino, Sensors & Actuators, TinyML
Backend & Development: FastAPI, Flask, Flutter, Linux environment
🏎️ Featured Projects
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Pre-Cog Brakes (Predictive Torque Vectoring) Conceptualized and architected a vision-based predictive torque vectoring system for autonomous vehicles, designed to proactively adjust braking and suspension dynamics.
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Smart ECU (Real-Time Engine Anomaly Detection) Developed a machine learning anomaly detection model and successfully deployed it onto an ESP32 microcontroller, bridging the gap between ML algorithms and physical automotive hardware.
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Low-Parameter AI Bug Detector Engineered a highly optimized, low-compute AI model utilizing PEFT LoRA to efficiently detect software bugs.
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Person Re-Identification Research Currently authoring an academic research paper on novel solutions for Person Re-ID models to improve accuracy in complex spatial environments.
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Padam-GPT for Padasalai.net Building an AI-powered educational assistant for www.padasalai.net, leveraging LLMs to help students seamlessly navigate and interact with our extensive database of PYQs and sample papers.
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Kaggle: 2026 Collegiate Basketball Forecasting Built predictive machine learning models to forecast the outcomes of the 2026 collegiate basketball tournaments.
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Haptic Piano Simulator Developed a hardware-software interface utilizing a device that stimulates targeted finger movement to mimic playing a piano. 💼 Work Experience
Machine Learning Intern at KalkiNi (Current) – Optimizing real-time computer vision pipelines utilizing transfer learning.
App Developer at Padasalai.net (Current)
AI Summer Intern at Cloudstier Solutions (Previous)
Product Development Intern at Boardly (Previous)
🌱 What I'm Learning
Advanced Edge Deployment: Optimizing neural networks for extreme low-power, high-stakes environments.
Sustainable Cooling Systems: Exploring how ML and edge computing can optimize energy consumption in physical HVAC systems.
Advanced Linux & C++: For high-performance, real-time software execution.
🏆 Achievements
2nd Runner-up at National Ideathon (for the Pre-Cog Brakes system).
Completed 50+ Competitive Coding milestones in Sem 1.
📫 Connect with Me
🔗 Website: www.padasalai.net
📧 Email: vichruth.victorious@gmail.com
💼 LinkedIn: Vichruth M
⚡ Fun Fact: When I am not optimizing my daily-driver Suzuki Ertiga or coding in my Linux environment, you can find me in the gym strictly following Mike Mentzer's high-intensity training philosophy. On the automotive side, I firmly believe in brakes, chassis, and suspension first, engine second—which is why I appreciate the pure engineering balance of cars like the AE86 and Suzuki Cappuccino.