Mr.Strict — Automated Assignment & Exam Evaluator
Built an AI grading system using BERT, achieving 92% accuracy, cutting grading time by 85%, and supporting 500 concurrent submissions via Docker. Technologies: Python, BERT, NLP, FastAPI, Docker.
Godwin Samraj Gnanaraj
Pre final year student @Kamaraj College of Engineering and Technology
Tamil Nadu, IndiaSoftware Development and Machine Learning
2roles
33skills
4education
About
Computer Science undergraduate with two internships and four projects spanning full-stack development, machine learning, AI grading, real-time proctoring, and IoT-edge deployments.
Experience
Machine Learning Intern
PANITH INNOVATIONS
4 mos · Bengaluru, Karnataka, India
It's my immense pleasure to share that I am currently working as a Machine Learning Intern at PANITH Innovation. During this internship, I am gaining valuable hands-on experience by working on real-time projects and exploring the core concepts and applications of Machine Learning. I am constantly improving my technical skills and understanding of data-driven problem-solving through structured guidance and practical assignments. 🔍 Key Learnings & Responsibilities: Applied Machine Learning techniques to analyze datasets and solve real-world problems. Understood the types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning. 🤖 Applied Machine Learning techniques to analyze datasets and solve real-world problems. 📚 Understood the types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning. 🧮 Worked with ML algorithms like Linear Regression, Logistic Regression, K-Means Clustering, CNN, and Language Models. 📊 Evaluated model performance using metrics like Accuracy, Precision, Recall, F1 Score, and Confusion Matrix. 📈 Visualized data and model outputs using Matplotlib for better insights and presentation. 🗃️ Handled and analyzed data using Pandas for preprocessing and feature engineering. 🛠️ Used tools like GitHub, Teachable Machine, and LinkedIn Learning for collaboration and skill development.
Software Developer Intern
Pentagon Garments
Dec 2025 – Feb 2026 · Virudhunagar, India
Built a production-ready security verification and real-time monitoring system using Next.js and FastAPI, reducing server response time by 35%.
Education
Kamaraj College of Engineering and Technology
Bachelor of Engineering - BE, Computer Science
Sep 2023 - Apr 2027
KEREN Matriculation and Higher Secondary School
Jun 2018 - Apr 2023
Kamaraj College of Engineering and Technology
B.E., Computer Science and Engineering
2023 – 2027
CGPA: 8.1 / 10.0
Keren Schools
Higher Secondary Education
2018 – 2023
70%
Skills
JiraMicrosoft ExcelGitPython (Programming Language)Cascading Style Sheets (CSS)HTML5HTMLArtificial Intelligence (AI)Data VisualizationData CleaningComputer ScienceTeachable machineMachine LearningPrompt EngineeringEngineeringPythonJavaScriptSQLHTML/CSSReactNext.jsTailwind CSSNode.jsExpress.jsFastAPIPostgreSQLMongoDBBERTNLPOpenCVFigmaSwaggerVS Code
Projects
Autonomous Exam Monitoring System
Built a real-time AI proctoring system on Jetson Nano at 30 FPS, detecting facial, eye, and audio anomalies, cutting monitoring workload by 70% and flagging incidents with confidence scores. Technologies: Python, OpenCV, Computer Vision, Jetson Nano.
Hospital Token Booking System
Built a full-stack booking platform with role-based access and a real-time admin dashboard; optimized MongoDB queries, reducing page load by 60% and queue resolution time by 40%. Technologies: MERN Stack, JWT, MongoDB.
Security Rounds Verifier
Developed a verifiable digital rounds system with JWT authentication and audit logging; optimized PostgreSQL queries, cutting API response time by 40% across three security tiers. Technologies: FastAPI, Next.js, PostgreSQL, JWT.