FEBIN MARSHEL BABU SOUNDARA RAJAN

Analytical and innovation-driven Data Scientist with a strong foundation in Mechatronics and Intelligent Systems. Experienced in transforming complex data into actionable insights, building scalable machine learning models, and optimizing data-driven decision-making. Proficient in end-to-end model development — from data engineering and feature design to model deployment and performance tuning. Adept at leveraging AI, automation, and advanced analytics to solve real-world problems and improve operational efficiency. Combines technical expertise with strategic thinking to drive intelligent solutions across dynamic and high-impact environments.

• NVIDIA DLI Certificate for Fundamentals of Deep Learning
• Machine Learning with Python: Foundations.
• Deep Learning: Model Optimization and Tuning.
• C Programming for Embedded Applications.
• Introducing Robotic Process Automation - NASBA.
• Learning PLC Ladder Logic: 1 The Basics.
• Introduction to PLC and Industrial Automation.
• Level Up: Advanced Python.
• Raspberry Pi: GPIO.
• Computer Vision on the Raspberry Pi 4.

• Optimal Path Prediction for Autonomous Bots: This project trains a CNN-LSTM model for motion analysis, helping a bot determine the optimal path to reach a goal. Using optical flow (Lucas-Kanade), it captures spatial and temporal motion features. The model ensures smooth trajectory prediction, making it useful for navigation, object tracking, and robotics applications.
• Obstacle Avoidance training of Wheeled Bot using Reinforcement Learning: Leveraged NVIDIA Isaac Sim and Gazebo simulation environments, alongside PyTorch for reinforcement learning. This initiative focused on training a wheeled robot to autonomously navigate intricate terrains by iteratively developing strategies to evade obstacles and ensure collision-free movement. The project aimed to enhance the robot's operational autonomy and safety in dynamic environments.
• Autonomous Crop Monitoring System: Contributed to building a 4-wheeled robot for greenhouse monitoring. Led deep learning model development for pest detection, collaborated on parts design and managed communication protocols to ensure seamless integration and functionality of AI solutions with Raspberry Pi and Arduino platforms.
• Local AI Chatbot using Ollama: Developed a local AI chatbot using LLMs (Llama 3 via Ollama) with speech-to-text (STT) and text-to-speech (TTS) for voice interaction. Built with Tkinter, it enables real-time dialogue, emotional detection, and math solving (SymPy), leveraging multithreading for smooth performance.
• High-Accuracy Car Detection for Image Recognition: Built a car detection system using a custom ResNet-50-based model with PyTorch and OpenCV, achieving 96.7% accuracy in diverse images. Focused on robustness across varying lighting conditions, angles, and backgrounds.
• Reinforcement Learning for Optimal Agent Navigation: Implemented a Q-learning-based reinforcement learning agent in a grid-world environment, optimizing navigation to find the shortest path while avoiding obstacles. Addressed challenges in exploration-exploitation balance and reward sparsity.
• Two-Wheeled Self-Balancing Robot Simulation: Designed and simulated a self-balancing two-wheeled robot using a PID controller and Kalman filter in Simulink. Successfully stabilized the robot after disturbances, demonstrating effective control algorithms.
• IoT-based Automated Irrigation System: Developed an IoT-based irrigation system with secure network architecture, automating watering based on temperature and humidity sensors. Simulated in Cisco Packet Tracer, ensuring remote monitoring and cybersecurity.
• Mechatronic System Diagnostics: Solar Panel Tracking Upgrade: Enhanced a solar panel system by implementing a closed-loop tracking mechanism using LDR sensors, improving energy efficiency by optimizing sunlight exposure. Designed and simulated in Simulink to validate performance.
• Design and Analysis of a Centrifugal Compressor: Designed a centrifugal compressor using SolidWorks and AutoCAD, optimizing blade geometry for improved efficiency. Conducted CFD analysis in ANSYS Workbench to enhance performance metrics.
• Design and Fabrication of an Oil Skimmer Machine: Developed an oil skimmer using a rotating belt mechanism to remove surface oil efficiently. Constructed a durable frame with arc and MIG welding, integrating a motorized system with an alert feature for optimized operation.
• EcoKart (Electric Go-Kart Competition): Collaborated on designing and fabricating an electric go-kart, focusing on brake system optimization, wheel hub design, and lightweight fabrication using carbon fiber. The team secured a top-10 position in a national-level competition.
• IC Kart (125cc Internal Combustion Kart): Worked on designing and assembling a 125cc IC kart for a national competition, contributing to engine optimization, drivetrain development, and cooling system design. Successfully raced at the Madras International Circuit.
• Robotic Arm Manipulation Task (Motoman HP10): Programmed the Motoman HP10 robotic arm using MATLAB to perform precise object manipulation tasks. Implemented inverse kinematics for smooth movement execution in automation scenarios.

• Autonomous Crop Monitoring System Architect, European Universities in Egypt, 2023.
• Community Service Director, Rotaract Club of Guindy, 2019-2020.
• Professional Service Director, Rotaract Club of SRM Vadapalani, 2018-2029.
• Blood Donation Chairman, Rotaract Club of SRM Vadapalani, 2017-2019.
• Captain of EcoKart, SRM IST Vadapalani, 2019-2020.
• Captain of ICKart, SRM IST Vadapalani, 2019-2020.