Bhavani Shankar
@bhavanishankar1
Final-year AI/ML-focused Computer Science student building end-to-end ML pipelines and medical imaging models.
What I'm looking for
I am a final-year B.Tech student specializing in Computer Science with an emphasis on AI and Machine Learning, experienced in building end-to-end ML pipelines for classification and forecasting tasks. I have hands-on experience in data cleaning, feature engineering, model selection, hyperparameter tuning, and prototype deployment.
I have fine-tuned deep learning models including CNNs and Vision Transformers for medical image classification, evaluated models with cross-validation, ROC/PR curves, and confusion matrices, and containerized experiments with Docker while maintaining reproducible notebooks and Git version control.
My projects include stock market forecasting using ensemble models, a PPG-based heart rate monitoring system with Arduino and signal processing in Python, and a capstone Leukemia classification repo demonstrating transfer learning and rigorous validation. I enjoy mentoring peers and helping teams adopt best practices in ML and collaborative development.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Personal / Academic Projects
Jan 2023 - Dec 2025 (2 years 11 months)
Developed end-to-end ML pipelines for classification and forecasting, fine-tuned CNNs and Vision Transformer models for medical image classification, and containerized experiments to ensure reproducibility.
Designed and fine-tuned a Vision Transformer for leukemia classification using augmentation, transfer learning and rigorous validation to improve diagnostic accuracy.
Mentor / Peer Tutor
VIT-AP University
Jan 2022 - Dec 2024 (2 years 11 months)
Guided juniors in data structures and machine learning fundamentals, and onboarded students to Git and collaborative project workflows to improve team productivity.
ML Project Lead
Stock Market Prediction
Jan 2024 - Apr 2024 (3 months)
Built an end-to-end pipeline to forecast stock trends using ensemble models (Random Forest, Gradient Boosting), performed EDA, cross-validation and hyperparameter tuning, and implemented backtesting for strategy evaluation.
Hardware & Signal Processing Developer
Measuring Heart Rate
Aug 2023 - Oct 2023 (2 months)
Implemented a PPG-based heart rate monitoring system using Arduino and Python, performing signal preprocessing (filtering, peak detection) and computing metrics for live monitoring.
Education
Degrees, certifications, and relevant coursework
VIT-AP University
Bachelor of Technology, Computer Science (AI & ML)
2021 - 2025
Grade: 7.4/10
Activities and societies: Mentor/Peer Tutor; projects in stock prediction, heart-rate monitoring (Arduino), and leukemia classification using Vision Transformer.
B.Tech in Computer Science with specialization in AI & ML completed at VIT-AP University with a CPI of 7.4/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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