HARINI V
LEETCODE: https://leetcode.com/u/Harini_3538/ EMAIL: harinisai2115@gmail.com
LINKEDIN: http://www.linkedin.com/in/harini-sai-7b8429283 GITHUB: https://github.com/Harini3538
SUMMARY
Creative and driven Computer Science student with a strong passion for AI, data-driven solutions, and intuitive user experiences. Skilled in Python,
Machine Learning, Data Analysis, and Dashboard Development, with hands-on experience using tools like TensorFlow, Streamlit, Power BI, and
GitHub Actions. Known for quick learning, clean coding, and a problem-solving mindset, with a focus on building impactful and real-world tech
solutions
EDUCATION
SRM Easwari Engineering College , chennai
Bachelor of Engineering, Computer Science and Engineering(AI&ML)
CGPA : 8.40
DAV Girls Senior Secondary School, Chennai
HSC : 85%
SSLC : 93%
SKILLS
Languages: Python, C , HTML, CSS, JavaScript, Django, SQL
Libraries: NumPy, Pandas, Scikit-Learn, Matplotlib, Seaborn, OpenCV, NLTK, Streamlit
Data Visualization Tools: Excel, PowerBI, Tableau, Dash
Frameworks: PyTorch, TensorFlow, Keras
Developer Tools: Visual Studio Code, GitHub, Jupyter, Google Colab
PROJECTS
AI-Driven Optimization and Precision in Low-Cost UAV and Guided Missile Systems
Integrated computer vision models for object detection in UAV systems, achieving a 95% accuracy rate in identifying and tracking targets.
Improved missile tracking precision by 40% using reinforcement learning, enhancing accuracy for target interception and mission success
Technical Stack: Python, OpenCV, TensorFlow, YOLOv5, PyTorch.
AI-Optimized 3D Printing for Low-Cost Manufacturing
Optimized the 3D printing process for UAV and missile components, leading to a 30% reduction in material waste and
significant cost savings.
Technical Stack: AI-driven optimization, Autodesk Fusion 360, TensorFlow, 3D Printing, Additive Manufacturing.
CopChatbox
Designed and deployed an offline Cop Chatbox solution, enabling citizens to access important police information (e.g., crime
reports, emergency procedures) without requiring an internet connection, improving accessibility in remote areas.
Technical Stack: Python, NLP (Natural Language Processing), SQLite, Flask, Offline Storage Solutions.
Medvision AI
Successfully implemented Generative Adversarial Networks (GANs) and Diffusion Models to generate synthetic medical images,
addressing data scarcity and class imbalance, leading to a 40% improvement in dataset diversity for model training.
Technical Stack: Python, TensorFlow, PyTorch, GANs, Diffusion Models, Keras.
INTERNSHIP
Tamil Nadu Smart and Advanced Manufacturing Centre (TANSAM), TIDEL Park, Chennai
Artificial Intelligence Intern
Developed an AI-driven breast cancer detection system using Transformer-CNN, achieving 95% accuracy and 30% reduction
in false positives, with Grad-CAM and transfer learning for enhanced interpretability
Built an IoT-based chlorine detection system using electrochemical sensors, ESP32, and edge computing, enabling 90%
faster detection and 40% risk reduction via MQTT-based real-time alerts
ACHIEVEMENTS
Winner, IIT Hyderabad Competition – Secured 1st place in a competition conducted by IIT Hyderabad and sponsored by
Unistring Tech Solutions, winning a cash prize of ₹40,000.
Finalist in Tinkerer’s Lab Gen AI Hackathon, IIT Hyderabad, organized by Pathway selected among top teams for
developing a Generative AI-based solution to a real-world problem.
Shortlisted in Top 10 Teams – Innothan Hackathon, Hindustan Institute of Technology and Science Recognized for
proposing an innovative AI-driven solution addressing societal challenges.
Contributed to organizing workshops and technical events as an Executive Member of the Indian Society for Technical
Education (ISTE).
CERTIFICATIONS
Machine Learning Specialization – Coursera (by Stanford & DeepLearning AI)
Machine Learning with TensorFlow – Infosys Springboard
Data Structures & Algorithms with Python – Udemy
Introduction to Data Engineering – GUVI (by IITM Research Park)
