Hi, I'm Souri Rishik
A coding enthusiast building intelligent systems — from autonomous robots to AI-powered applications. Currently pursuing Data Science Engineering at MIT, Manipal.
About Me
A curious mind at the intersection of data science, robotics, and software engineering — always learning, always building.
Education
Manipal Institute of Technology, MAHE
Jul 2023 — Sep 2027B.Tech in Data Science Engineering
Mahatma Gandhi Memorial PU College, Udupi
Jul 2021 — Apr 2023Higher Secondary Education (PCMC) — Karnataka State Board
Percentage: 94.3%
Little Rock Indian School, Brahmavar
Mar 2021CBSE 10th Board
Percentage: 91.6%
Experience
Coding Subsystem Head
Sep 2025 — PresentRobomanipal
Enhanced the official Robomanipal website with 100%+ traffic growth and 98/100 Real Experience Score. Represented MIT MAHE at Technoxian 8.0 (quarterfinals among 200+ teams). Secured 2nd Runner-Up at Robonautica, IISc Bangalore among 179 teams nationwide.
Research Intern
Jun 2025 — Jul 2025Manipal Institute of Technology
Engineered ML models (Gradient Boosting, CatBoost, XGBoost, Random Forest) to detect phishing URLs with 97.4% accuracy and 97.7% F1-score on 30,000+ samples. Designed and deployed a Python-based phishing detection web app with real-time URL classification, reducing manual verification time by 70%.
Skills & Technologies
Python
C/C++
Java
JavaScript
TypeScript
HTML
CSS
React
Next.js
TensorFlow
PyTorchPythonC/C++JavaJavaScriptTypeScriptHTMLCSSReactNext.jsTensorFlowPyTorch
NumPy
Pandas
OpenCV
Git
GitHub
AWS
VS Code
Ubuntu
SQL
Keras
ROSNumPyPandasOpenCVGitGitHubAWSVS CodeUbuntuSQLKerasROSCertifications
Generative AI with Large Language Models
Natural Language Processing in TensorFlow
MongoDB: The Complete Guide to NoSQL Database Development
C++ Data Structures in the STL
Build Your First GUI App With Java
Introduction to Java Programming: Java Fundamental Concepts
My Projects
A collection of projects spanning robotics, AI, computer vision, and web development. Each one taught me something new.
Sign Language Gesture Analysis
Built a lightweight custom CNN (~227K parameters) to classify 24 static ASL hand gestures from the Sign Language MNIST dataset. Achieved 99.69% validation accuracy and demonstrated real-time webcam inference, correctly recognizing 20/24 gestures under live conditions.
Phishing URL Detection
Engineered multiple ML models (Gradient Boosting, CatBoost, XGBoost, Random Forest) to detect phishing URLs, achieving 97.4% accuracy and 97.7% F1-score on 30,000+ samples. Deployed a real-time Python web application reducing manual verification by 70%.
Digit Recognition
Developed a Feedforward Neural Network in TensorFlow/Keras with preprocessing, batch normalization, dropout, and L2 regularization for MNIST digit recognition. Achieved 98.13% classification accuracy.
Fastest Line Follower
Optimized PID algorithm with manual, Ziegler–Nichols, and incremental tuning, improving motor precision by 30%. Created a Bluetooth-based Python GUI for real-time PID tuning, cutting adjustment time by 50%. Competed at Technoxian 8.0, advancing to quarterfinals among 200+ teams.
Autonav (RoboCUP@Work)
Programmed a 6-DOF Mecanum robot for RoboCUP@Work with 2D LiDAR and depth camera, using SLAM Toolbox and NAV2 for mapping and navigation. Achieved <10cm localization error and 92% goal success in ROS2.
Open Volley
Built a computer vision system in Python/OpenCV to track volleyball trajectories with 95% detection accuracy, processing 120+ frames per second for real-time analysis. Automated ball tracking and player count per team, reducing manual annotation time by 60%.
Get In Touch
Have a question, want to collaborate, or just want to say hi? Drop me a message and I'll get back to you soon.
souri.rishik27@gmail.com
GitHub
github.com/SouriRishik
linkedin.com/in/souri-rishik
Always open to interesting conversations and opportunities!