I am Vishwan B S, a recent MCA graduate from Dr. M.G.R. Educational and Research Institute, with a strong foundation in Machine Learning, NLP, Computer Vision, and Generative AI. During my studies, I completed projects such as a semantic similarity search system and a computer vision model for detecting hazardous materials, leveraging skills in Python, SQL, Scikit-learn, and deep learning frameworks like TensorFlow and PyTorch. I am eager to take on my first full-time role as an ML Engineer, where I can apply my technical expertise and passion for building impactful AI solutions.
Education
Dr. M.G.R. Educational and Research Institute
Master of Computer Applications (MCA), Computer Applications
2024 – 2026 · Grade: 7.6
Sir Ram College of Arts and Science, Perumalpattu (University of Madras)
Built a multi-engine semantic search system that ranks 50,000+ knowledge-base documents in real time, with engine switching between Word2Vec, FastText and TF-IDF at query time to compare retrieval quality.
Trained a custom YOLO11n object detector on a Roboflow-labeled dataset to identify scrap components (cylinder, shock absorber); fixed class imbalance and merged mislabeled duplicate classes during preprocessing.
Achievements
Semantic Similarity Search System
2026
Built a semantic search engine over 50,000+ documents using FastAPI, Docker, React + TypeScript.
Scrap & Hazardous Material Detection System
2026
Trained a custom YOLO11n object detector to identify scrap components with 0.65 mAP50 and 0.74 precision.
Vishwan B S
MCA Computer Applications graduate from Dr. M.G.R. Educational and Research Institute · Looking for ML Engineer roles,AI/ML Engineer role,ML Intern,AI/ML Intern
I am Vishwan B S, a recent MCA graduate from Dr. M.G.R. Educational and Research Institute, with a strong foundation in Machine Learning, NLP, Computer Vision, and Generative AI. During my studies, I completed projects such as a semantic similarity search system and a computer vision model for detecting hazardous materials, leveraging skills in Python, SQL, Scikit-learn, and deep learning frameworks like TensorFlow and PyTorch. I am eager to take on my first full-time role as an ML Engineer, where I can apply my technical expertise and passion for building impactful AI solutions.
Education
Dr. M.G.R. Educational and Research Institute
2024 – 2026
Master of Computer Applications (MCA), Computer Applications · Grade: 7.6
Sir Ram College of Arts and Science, Perumalpattu (University of Madras)
2020 – 2023
Bachelor of Science (B.Sc), Computer Science · Grade: 7.4
Built a multi-engine semantic search system that ranks 50,000+ knowledge-base documents in real time, with engine switching between Word2Vec, FastText and TF-IDF at query time to compare retrieval quality.
Scrap & Hazardous Material Detection System (Computer Vision)
github.com/CHARLIE6369/Scrap_Haz_Detection
Python, YOLO11n, Ultralytics, OpenCV, Roboflow
Trained a custom YOLO11n object detector on a Roboflow-labeled dataset to identify scrap components (cylinder, shock absorber); fixed class imbalance and merged mislabeled duplicate classes during preprocessing.
Skills
Python
SQL
MySQL
Scikit-learn
Random Forest
Classification
Regression
Model Evaluation
Cross-Validation
Word2Vec
FastText
TF-IDF
Achievements
Semantic Similarity Search System
2026
Built a semantic search engine over 50,000+ documents using FastAPI, Docker, React + TypeScript.
Scrap & Hazardous Material Detection System
2026
Trained a custom YOLO11n object detector to identify scrap components with 0.65 mAP50 and 0.74 precision.
Mock interviews on readyforhires
scikit-learn (Beginner)Best 0%
Machine Learning (Intermediate)Best 38%
Python (Beginner)Best 60%
39 questions answered on readyforhires in the past year, 1 active day, longest streak 1 day.
