Fenitha Kabeer

Computer Science Engineering graduate with hands-on experience in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Generative AI, and Retrieval-Augmented Generation (RAG). Experienced in Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, OpenCV, YOLO, FastAPI, Gemini API, LangChain, and Qdrant. Hands-on experience in data preprocessing, exploratory data analysis, feature engineering, model training, model evaluation, object detection, object tracking, embeddings, semantic search, LLM integration, and AI application development.

Seeking an entry-level AI/ML Intern or Machine Learning Intern opportunity.

AI/ML Trainee at Up2 Tech Pvt. Ltd. (2026-01 – Present)

• Worked on practical AI/ML and computer vision projects involving dataset preparation, model training, testing, evaluation, and performance analysis.
• Prepared computer vision datasets through video frame extraction, image annotation, preprocessing, and dataset organization.
• Trained and evaluated YOLO-based object detection models using custom datasets.
• Experimented with model configurations and object tracking techniques including ByteTrack and BoT-SORT.
• Analyzed model predictions and detection results to identify accuracy issues and improve AI pipelines.
• Developed Python-based AI workflows involving machine learning, computer vision, LLMs, RAG, embeddings, vector databases, and API integration.

Bachelor of Technology (B.Tech) in Computer Science and Engineering – Thejus Engineering College, Kerala (2025-12)