Jaya Soorya

JAYA SOORYA V - |-| ï linkedin.com/in/jaya-soorya-/ | § github.com/amsoorya Chennai, Tamil Nadu - 600062, India O BJECTIVE Aspiring to be a proficient Machine Learning Engineer with a strong passion for AI research, deep learning, and data-driven innovations. Committed to leveraging cutting-edge machine learning techniques to solve complex real-world problems, drive impactful advancements in computer vision, predictive analytics, and autonomous systems, and contribute to AI-powered technological innovations. Seeking opportunities to work on challenging AI projects, collaborate with industry leaders, and continuously enhance my expertise in ML, deep learning, and AI-driven decision-making systems. E DUCATION B.Tech in Computer Science and Engineering (AI & ML) Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India GPA: 8.88/10.00 2022 – Present Higher Secondary Certificate (CBSE) Good Samaritan Public School, Sirkali, India GPA: 8/10 2022 Secondary School Certificate (CBSE) Good Samaritan Public School, Sirkali, India GPA: 9/10 2020 T ECHNICAL S KILLS • • • • • • • • • Programming Languages: Python (Data Analysis, ML), Java (Basics), JavaScript (Basics), C (Basics) Front-End Technologies: HTML5, CSS3, Bootstrap Back-End Web Frameworks: Flask, Streamlit (ML Web Apps), RESTful API Development Databases: MySQL (Basics) Machine Learning Deep Learning: TensorFlow, PyTorch, OpenCV, CNNs, Transfer Learning, Model Evaluation Model Deployment IoT: Streamlit (Deployment), Flask APIs, Raspberry Pi (Edge Deployment) Data Science Analytics: Jupyter Notebook, Data Preprocessing, EDA, Feature Engineering, Matplotlib, Seaborn Tools Environment Management: Git GitHub, VS Code, Conda, pip, Virtualenv Professional Soft Skills: Communication, Leadership, Problem Solving, Critical Thinking, Research P ROJECTS 1. Empowering Student Career Choices Tools: Python, TensorFlow, Jupyter Notebooks, Conda, HTML, CSS 2023 - 2024 • Role: Team Leader – Led model training and research. • Developed an AI-powered platform for personalized career recommendations, integrating advanced ML algorithms and real-time feedback. • Designed an interactive interface with dynamic industry updates, earning an ’S’ grade and 98% positive feedback for innovation and technical proficiency. • Led the team in training ML models and researching solutions through academic papers. 2. Anomaly Detection in Hyperspectral Imaging Tools: Python, TensorFlow, Kaggle, Jupyter Notebooks, Conda 2024 • Role: Team Leader – Led research and hardware implementation. • Developed a deep learning model for anomaly detection in hyperspectral data for the Smart India Hackathon. • Implemented data correction, de-noising, and calibration techniques, leveraging Hyperion and AVIRIS datasets for training and validation. • Successfully completed the software model and currently working on hardware implementation for real-world deployment. 3. Enemy Detection and Non-Lethal Engagement System Tools: Python, YOLOv5, Mask R-CNN, NVIDIA Jetson, Jupyter Notebooks, Conda 2024 - Present • Role: Team Leader – Led system design and integration. • Developing an AI system for detecting and classifying enemy combatants, civilians, and animals with non-lethal engagement capabilities. • Utilizing YOLOv8 for object detection and Mask R-CNN for body part segmentation, integrating real-time processing with NVIDIA Jetson edge devices. • Leading data preparation, model training, and hardware integration, with ongoing development and testing. 4. Artistic Style Transfer for Medical Imaging Tools: Python, TensorFlow, Stable Diffusion, Kaggle, Jupyter Notebooks, Conda 2024 - Present • Role: Team Leader – Focused on synthetic image generation. • Developed a deep learning model for generating synthetic medical images to augment datasets for diagnosing Retinopathy of Prematurity (ROP). • Leveraged neural style transfer and stable diffusion techniques to create realistic fundus images. • Implemented EfficientNetV2B0 for feature extraction and trained CNN-based diagnostic algorithms to improve accuracy. • Addressed data scarcity and variability in rare disease imaging through synthetic data generation. 5. EV Energy Consumption Prediction and Route Optimization System Tools: Python, PyTorch, Streamlit, GRU, OSRM, Open-Meteo API, Folium 2025 • Role: Lead Developer – Designed and implemented the system. • Developed an AI-powered EV energy consumption prediction and route optimization system, integrating real-time data processing for efficient trip planning. • Utilized a GRU-based deep learning model to predict EV energy consumption based on multiple driving parameters, including speed, elevation, road type, temperature, and battery conditions. • Integrated OSRM (Open Source Routing Machine) for route optimization, suggesting up to four energy-efficient paths based on elevation changes, road types, and driving behavior. • Incorporated Open-Meteo API to fetch real-time geolocation and elevation data, enhancing prediction accuracy. • This project was undertaken for Raptee HV as part of their collaborative hackathon with Zoho and VIT, where it was highly appreciated for its practical impact and innovation in EV energy optimization. 6.Dream Mental Health Risk Analysis (Minor Project) Tools: Python, TensorFlow, Scikit-learn, MNE, PyEDFlib, XGBoost, SHAP, Jupyter Notebooks 2024 – Present • Role: Team Leader – Directed a research project analyzing sleep-based physiological signals to assess mental health risks. • Processed multimodal biosignals (EEG, EOG, EMG, respiration, temperature) using domain-specific libraries like MNE and pyedflib. • Engineered features from the Sleep-EDF dataset and applied SMOTE for class balance across mental health risk categories. • Designed and trained hybrid models combining CNN, LSTM, and traditional ML (Random Forest, XGBoost) to predict conditions such as insomnia, depression, and anxiety. PATENTS AND P UBLICATIONS C=C ONFERENCE , J=J OURNAL , P=PATENT, S=I N S UBMISSION , T=T HESIS [C.1] Jaya Soorya V, et al. (2024). Hyperspectral Target Detection in Wetlands. In Proceedings of the International Conference on Progressive Computational Intelligence, Information Technology and Networking (Com-IT-Con 2024). Manav Rachna International Institute of Research and Studies, Taylor & Francis. This study explores hyperspectral imaging and machine learning for monitoring water contamination in wetlands, focusing on Vembanad Lake. Techniques include Isolation Forest for anomaly detection, UNet and Spatial CNN for segmentation, and preprocessing methods like atmospheric correction to enhance detection accuracy. [S.2] Jaya Soorya V, et al. (2024). Enemy Detection and Non-Lethal Engagement System. Manuscript in progress. This research explores an AI system developed for detecting and classifying entities with non-lethal engagement capabilities. The system integrates YOLOv8 for object detection and Mask R-CNN for body part segmentation to enhance situational awareness. [S.3] Jaya Soorya V, et al. (2024). Artistic Style Transfer for Medical Imaging. Manuscript in progress. This study develops an AI-driven approach for generating synthetic medical images to enhance diagnostic accuracy for Retinopathy of Prematurity (ROP). The research leverages artistic style transfer techniques, stable diffusion models, and EfficientNetV2B0 for feature extraction alongside CNN-based classification. It addresses data scarcity in rare disease imaging and demonstrates the potential of synthetic image generation in medical diagnostics. H ONORS AND AWARDS • Hackmatrix 2025 - NJACK, IIT Patna Intra-College Contest • ◦ Selected in the top 7 teams from over 900+ registrations in Hackmatrix 2025 — a 36-hour offline hackathon held at IIT Patna. ◦ Won 2nd prize in the final offline round, showcasing innovation, teamwork, and technical excellence. VEL IDEA FORGE 2K25 Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology ◦ • Secured 3rd prize in VEL IDEA FORGE 2K25, organized by the Department of Computer Science and Design, for a tech-driven innovative solution. Group Discussion Contest Intra-College Contest ◦ • Secured 2nd place in a competitive intra-college group discussion contest, demonstrating effective communication and critical thinking skills. Aptimind Contest Intra-College Contest ◦ • Achieved 3rd place in the challenging Aptimind contest, showcasing problem-solving abilities and analytical thinking. Monthly Quiz (Quiz Mania) Intra-College Contest ◦ • Earned 3rd position in the Monthly Quiz (Quiz Mania), illustrating comprehensive knowledge and quick thinking. Essay Writing (Scriptura) Intra-College Contest ◦ • Secured 1st place in the Essay Writing competition (Scriptura), exhibiting strong writing skills and a nuanced understanding of the topic. Active Participation Ongoing Various Colleges and Platforms ◦ Actively participating in various competitions and events conducted within colleges and inter-college events. ◦ Engaged in challenges on Unstop, further honing skills in diverse competitive environments. L EADERSHIP E XPERIENCE • IEEE Events Organizer IEEE Madras Computer and Computational Society ◦ • Organized two events at college as part of the IEEE Madras Computer and Computational Society. Student Partner InternShala ◦ • Engaged in creating events and awareness for fellow students. Lead Coding Ninjas Campus ◦ • Lead all projects undertaken, managing tasks and guiding teams to success. Campus Ambassador MyGov India ◦ Conducted events and raised awareness for future vision initiatives and government programs. V OLUNTEER E XPERIENCE • Volunteer Member Youth United Council of India (YUCI) ◦ • Actively involved in working on social norms and community welfare with the NGO’s west Chennai branch. Placement Coordinator College Placement Cell ◦ Assisted in organizing placement drives, coordinating with recruiters, and supporting students in career opportunities. A DDITIONAL I NFORMATION Languages: Tamil: Native proficiency (Fluent in reading, writing, and speaking), English: Professional proficiency (Fluent in reading, writing, and speaking), Hindi: Intermediate proficiency (Capable of understanding, reading, and writing), Telugu: Conversational proficiency (Able to understand)