Machine Learning CV Researcher for VIU Internship

Dhanush Srinivas

Email: *******@****.***.*** — +1-682-***-****

LinkedIn: dhanush-srinivas — GitHub: Dev-Dhanush-hub — Arlington, TX EDUCATION

The University of Texas at Arlington (UTA) Arlington, TX, USA Master Relevant of Science Coursework: in Computer Computer Science Vision, Artificial Intelligence, Distributed Systems, Machine Learning, Neural Networks, Design & Analysis of Algorithms, Data Mining & Text Mining Vellore Institute of Technology - AP Amaravati, India B.Relevant Tech in Computer Coursework: Science Software (Core) Engineering, Cloud Computing, Operating Systems, Computer Architecture, Data Structures, Algorithms, Database Management Systems, Computer Networks, Object-Oriented Programming, Web Technologies

Graduated July 2024

PROFESSIONAL EXPERIENCE

Machine Learning Engineering Intern – NVIDIA, Bangalore Feb 2024 – Jun 2024

• Built and optimized ML models for predictive maintenance using PyTorch, TensorRT, and CUDA.

• Integrated inference pipelines for Transformer-based NLP and CV tasks; optimized GPU workloads.

• Improved performance metrics through mixed-precision training and deployment testing. Technologies: PyTorch, TensorRT, CUDA, Flask, Docker, Git, Linux

Java Developer Intern – Oasis Infobyte Dec 2023 – Mar 2024

• Developed REST APIs and automated build pipelines with Spring Boot and Maven.

• Conducted backend integration, unit testing, and API documentation. Technologies: Java, Spring Boot, MySQL, Maven, Git

Full-Stack Developer Intern – GrowthScribe Jun 2022 – Aug 2022

• Designed responsive full-stack web apps using React, Flask, and MongoDB.

• Deployed applications on AWS EC2 with S3 data storage; implemented authentication and routing.

• Collaborated with designers to enhance UI/UX and scalability. Technologies: React, Node.js, Flask, MongoDB, AWS EC2/S3, HTML/CSS, Git

ON-CAMPUS EXPERIENCE

Lifeguard – UTA Campus Recreation Jun 2025 – Present

• Monitored pool safety, enforced Red Cross safety standards, and performed rescues.

• Completed certified Red cross Life guarding with professional-rescue and deep-water training, CPR, AED, and First Aid. Skills: Emergency Response, Team Coordination, Communication Intramural Supervisor – UTA Campus Recreation Aug 2025 – Present

• Supervise officiating teams and coordinate campus-wide sports events.

• Specialize in basketball and flag football management, officiating, and scheduling.

• Organize major intramural tournaments and ensure fair play standards. Skills: Leadership, Conflict Resolution, Sports Management

Student Official – UTA Campus Recreations Jan 2025 – Aug 2025

• Officiated sports games with adherence to UTA Rampus Recreation rules and protocols.

• Collaborated with supervisors for staff scheduling and event execution. Front Desk Associate – UTA Campus Recreationsr Apr 2025 – Aug 2025

• Facilitated member check-ins, managed equipment checkout, and maintained inventory. Campus Recreation Ambassador – UTA Campus Recreations Jun 2025 – Aug 2025

• Represented Campus Rec during New Maverick Orientation sessions as panelist and guide.

• Delivered presentations to incoming students and parents; promoted inclusion and wellness. Skills: Public Speak- ing, Empathy, Student Engagement

PROJECTS

Neural Networks & GANs Project – UTA Spring 2025

• Designed and trained GAN architectures to generate synthetic CIFAR-10 images using PyTorch and ResNet18.

• Compared CNN, ResNet18, and custom GAN models to evaluate image diversity and fidelity.

• Implemented loss balancing and adaptive learning rate schedules to stabilize generator–discriminator training.

• Collaborated with peers to visualize latent space interpolation and improve training convergence by 15%.

• Achieved 87% test accuracy improvement over baseline CNN and reduced mode collapse occurrences. Technolo- gies: PyTorch, TensorBoard, ResNet18, GANs, NumPy, OpenCV Sublet Surfers: AI Rental Analysis App – Independent Project Oct 2024

• Developed an end-to-end ML web application predicting fair rent prices using NLP on property descriptions.

• Built REST API integration in Flask to connect Scikit-learn backend models with an interactive UI.

• Processed 5K+ rental listings; applied regression, feature scaling, and location-based clustering.

• Deployed application on AWS EC2 for real-time data retrieval and hosted visual dashboards.

• Worked in a 3-member collaborative setup focusing on data pipeline efficiency and UX feedback. Technologies: Python, Flask, Scikit-learn, Pandas, AWS EC2, HTML/CSS, NLP Stereo Vision 3D Reconstruction – UTA Computer Vision Project Spring 2024

• Engineered 3D reconstruction from stereo image pairs using SAD disparity estimation and triangulation.

• Generated high-fidelity disparity maps and visualized point clouds through Open3D and Matplotlib.

• Implemented filtering and sub-pixel refinement to enhance disparity accuracy by 18%.

• Coordinated a 2-person research team analyzing depth quality against LiDAR baselines.

• Created a lightweight framework replicable for classical depth mapping and robotics vision research. Technologies: Python, OpenCV, Open3D, NumPy, Matplotlib, SciPy

Delivery Drone (Quadcopter) – VIT-AP Jan – May 2024

• Designed and implemented an autonomous delivery drone powered by Arduino Uno with GPS and PID control.

• Programmed flight stabilization, GPS waypoint navigation, and motor calibration algorithms.

• Integrated telemetry feedback for battery monitoring and obstacle avoidance.

• Collaborated with a 4-member cross-functional engineering team, leading the hardware integration phase.

• Conducted multiple flight tests to achieve stable flight with 5cm altitude error margin. Technologies: Arduino Uno, GPS Module, PID Control, C++, MATLAB, Sensor Fusion Unmanned Recon Drone (Fixed Wing) – VIT-AP Aug 2023

• Built a custom fixed-wing UAV using foam composite frame and an Arduino Nano-based flight controller.

• Programmed IMU and GPS fusion algorithms for stable heading control and flight telemetry.

• Designed aerodynamic control surfaces and integrated data logging for recon missions.

• Led a 3-member team for hardware testing, mission planning, and system debugging.

• Demonstrated successful autonomous take-off and navigation with real-time data capture. Technologies: Arduino Nano, IMU, GPS, MATLAB, Embedded C, Telemetry Systems Doc-Aid: Medical Recommender System – Capstone Project, VIT-AP 2023

• Created a hybrid Naive Bayes + ANN model for symptom-based disease prediction.

• Built Flask-based web interface with MySQL backend for storing and retrieving patient input data.

• Preprocessed 10K+ medical records, applied label encoding, and model evaluation using precision/recall metrics.

• Collaborated with a 5-member team overseeing model training, testing, and deployment workflows.

• Improved diagnostic accuracy by 22% over baseline logistic regression models. Technologies: Python, Flask, TensorFlow, MySQL, Streamlit, Scikit-learn

LEADERSHIP & INVOLVEMENT

Member – EXCEL Campus Activities, UTA Dec 2024 – Present Participate in leadership workshops, professional networking, and outreach initiatives enhancing academic and personal development.

Peer Mentor – VIT-AP University Aug 2022 – Aug 2024 Guided undergraduates on academic performance, course selection, and adaptation to university life. Facilitated study groups and mentorship sessions.

National Cadet Corps-Army wing – 8th Karnataka Battalion Jun 2018 – May 2021 As the Company Quarter Master Sergeant (CQMS) Led inventory logistics, drill coordination, and field training for 120+ cadets. Attended 2 CATC Camps + 1 BLC Camp; achieved A Grade in both B and C Certificates; awarded }. Team Captain – VIT-AP Basketball Team 2021 – 2024

Led inter-college tournaments, encouraged teamwork, and organized practice sessions. Basketball Team – Christ Academy 2014 – 2018

Represented school in district-level competitions. National Swimmer – Christ Academy 2012 – 2016

Competed at national-level freestyle and relay swimming events. 2

nd

Dan Black Belt – WKF (Gujo Karate Ryu)

Trained and competed in district/state karate championships; demonstrated focus and endurance. CERTIFICATIONS

• NVIDIA DLI – Building Transformer-Based NLP Applications

• NVIDIA DLI – Applications of AI for Predictive Maintenance

• NVIDIA DLI – Fundamentals of Deep Learning

• NVIDIA DLI – Generative AI with Diffusion Models

• AWS Academy Cloud Foundations (2022)

• Red Cross Lifeguarding + CPR/AED (2025)

• NCC C Certificate (2021, A Grade)

• NCC B Certificate (2020, A Grade)

AWARDS & SOCIETIES

HackUTA 7 (2025) – Generative AI Automation Project UTA Datathon (2025) – Predictive Data Analytics

HackUTA 6 (2024) – Full-Stack ML Web App

7

th

Place – VIT-AP Clinics Hackathon (2023)

Expert Marksman Award – NCC

Member – CSI VIT-AP, Kuge Gemu Club, UTA REC Society, EXCEL Campus Activities SKILLS

Programming Languages: Python, Java, C++, SQL, HTML, JavaScript Frameworks & Libraries: TensorFlow, PyTorch, OpenCV, Flask, React, Spring Boot, Streamlit, Scikit-learn Tools & Platforms: Docker, Git, Jupyter, VS Code, Google Colab, AWS EC2/S3, gRPC AI/ML Expertise: CNNs, GANs, Transformer Models, Regression, Clustering, Object Detection, EDA, NLP Soft Skills: Leadership (Intramurals & CQMS), Teamwork, Public Speaking, Crisis Management, Mentoring, Adapt- ability, Empathy, Communication, Time Management

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