AI/ML-focused Computer Science student with hands-on experience building predictive models, neural networks, and real-world applications. Demonstrated ability to lead technical teams and translate complex problems into scalable, data-driven solutions. Strong foundation in machine learning, deep learning, and system design with a focus on practical impact.
Built a hybrid ML system combining Random Forest regression with a biological rule engine.
Reduced features from 80+ to 7 and achieved ~1–2 day MAE on real-world dataset.
View ProjectDeveloped a real-time vehicle violation detection system using YOLOv8 and OpenCV.
Implemented detection → tracking → speed estimation → violation pipeline.
View Project
Languages: Python, C, Java
Machine Learning: Random Forest, Supervised Learning, Feature Engineering, Model Evaluation
Deep Learning: PyTorch, CNNs, RNNs, LSTM, YOLOv8
Libraries: NumPy, Scikit-learn, OpenCV
Tools: Git, GitHub, Jupyter Notebook
Generative AI: Prompt Engineering, Agentic Workflows
Nov 2025 – Apr 2026
May 2025 – July 2025
Led development of an end-to-end intelligent system including cycle prediction, energy modeling, and task optimization.
Drove content strategy and engagement campaigns, increasing participation through structured digital initiatives.
Managed social media campaigns and event promotion to improve community visibility and engagement.
Scaled platform to 1000+ users by integrating internship opportunities and executing growth strategies.
Email: jjassmitha@gmail.com
Phone: +91 9959220389
GitHub: github.com/Jassi220205
LinkedIn: linkedin.com/in/jassmitha-jammu