Avineesh Kumar

Computer Science graduate specializing in Computer Vision, Deep Learning, and NLP frameworks. Proven experience building and deploying end-to-end ML pipelines using PyTorch, TensorFlow, and FastAPI, with research exposure submitted to IEEE CICN 2026. Passionate about translating complex neural architectures into scalable, production-ready AI solutions.

Machine Learning Research Intern at IIIT Bhagalpur (2025-12 – 2026-01)

Winter Internship

• Developed a hybrid deep learning model (YOLOv8 + CNN) for automated Diabetic Foot Ulcer detection.
• Improved lesion detection accuracy through data augmentation and hyperparameter tuning.
• Designed complete ML pipeline: data annotation, preprocessing, training, and evaluation.
• Evaluated performance using Precision, Recall, F1-score, ROC-AUC, and Confusion Matrix.
• Co-authored research work submitted to IEEE CICN 2026 Conference.

Software Developer Intern at Bevarc Construction Performance Engineering (2025-01 – 2025-02)

Performance Engineering

• Reduced First Contentful Paint (FCP) by 150ms and achieved a 10% improvement in overall UI responsiveness through layout refactoring.
• Optimized asset delivery and image compression, resulting in a 0.8s reduction in total page load time across high-traffic modules.

B.Tech in Computer Science and Engineering – Bhagalpur College of Engineering (BCE) (2022 – 2026)