Learning. Innovating. Growing.
With a strong foundation in Computer Science and a passion for data analytics, web development, and problem-solving, I thrive in fast-paced environments that challenge me to think critically and innovate. Always eager to learn and grow, I’m actively seeking opportunities to apply my skills, collaborate on impactful projects, and push the boundaries of technology.
Education
NC State University – Raleigh, NC, Aug 2024 – May 2026
Master of Computer Science, GPA: 4.00/4.00
Relevant Coursework: Automated Learning and Data analysis, Computer and Network Security, Neural Networks, Real-time Systems for Autonomous Vehicles, Extended Reality and 3D interactions
PES University - Bengaluru, India, Aug 2019 – May 2023
Bachelor of Technology in Computer Science and Engineering, GPA: 8.74/10.0
Relevant Coursework: Web Technologies, Cloud Computing, Big Data, Internet of Things,
Experience
Data Engineering Research Assistant, CCEE Department @ NCSU – Raleigh, NC, Oct 2025 – Present
Developed a multi‑module Python desktop application (Tkinter, PyInstaller) that automated climate data processing and DGPX file generation, providing batch processing, GUI workflows, and XML/CSV transformation, which streamlined data handling for Arizona DOT infrastructure projects.
Supplied data pipeline implementation, integration HCD file parsing and mapping to geospatial stations and data exchange formats (CSV, XML, and DGPX), supporting modularity and batch processing for climate research and transport planning purposes.
Machine Learning Research Assistant, CCEE Department @ NCSU – Raleigh, NC, May 2025 – Present
Designed a Python-based time series simulation and probabilistic risk model leveraging Monte Carlo methods and Scikit-learn to predict material surface temperature exceedance and failure likelihood from real-world weather inputs.
Automated weather data processing and thermal simulation pipeline leveraging REST APIs, NumPy scientific computing, and CSV data engineering to generate environmental analysis reports for pavement temperature modeling research.
Data Science Research Assistant, CCEE Department @ NCSU – Raleigh, NC, Jan 2025 – May 2025
Architected a deep semantic search engine using MPNet embeddings and HNSWlib that leveraged iterative problem-solving to match high-throughput, high-recall, and improved alignment insights into the curriculum of over 100 universities.
Applied isotonic regression to calibrate transformer similarity scores against Likert-scale feedback and developed radar-style nightingale plot to guide curriculum planning.
Software Engineer I, Microchip Technology India Pvt. Ltd. - Bengaluru, India, Jun 2023 – Jul 2024
Led the development of a new web application version, owning from conceptualization to development implementation stages, while enhancing UI/UX, improving page performance, and using object-oriented design patterns to structure service and components for long-term maintainability and extensibility.
Engineered high-performance network visualizations powered by ReactJS, GoJS, and OpenStreetMap and optimized backend data access with Hibernate and MariaDB, optimizing query performance by 30%.
Established real-time alerts in the TimePictra system with WebSocket channels and improved build infrastructure by adopting Maven for module builds, which made builds more reliable and reduced build failures.
Improved system reliability and operational excellence by troubleshooting production and participating in structured peer code reviews and systematic debugging of backend services, reducing defects and ensuring maintainable, production-ready deployments.
Full Stack Developer Intern, Microchip Technology India Pvt. Ltd. - Bengaluru, India, Jan – Jun 2023
· Delivered interactive NMS visualizations using ExtJS, JointJS, and Cytoscape.js, reducing user interface rendering lag by 30% and optimizing backend API with Spring boot (Java) for efficient topology mapping, enhancing customer experience within Agile methodologies.
Adopted an intensive testing plan and built robust unit and integration tests with JUnit, improving backend reliability with 95% test coverage - ensuring regression safety and quality assurance through test-driven development methodologies.
DevOps Intern, Pronisi, Inc. - Bengaluru, India, Jun – Dec 2022
Automated CI/CD with Jenkins, cut deployment time by 40%, and provisioned cloud infrastructure for scalable video analytics.
Improved backend reliability by 30% through automation of unit test scripts with Postman and Pytest and added log functionality with version control with GitHub.
Collaborated with cross-functional teams through sprint meetings - to design Rest APIs, debug backend integrations, for design reviews and deliver production-ready microservices on tight timelines
Skills
Projects
Deepfake Detection with Vision Transformers
A deep learning pipeline built with Vision Transformers to detect manipulated videos, achieving 93.52% accuracy on the DFDC dataset. Attention heatmaps and OpenCV were used to visualize model focus, enhancing interpretability in over 85% of test samples.Ping Me – Real-Time Chat App
A secure, real-time chat platform built with Node.js, WebSockets, and JWT authentication. Supports room-based messaging and is CI/CD deployed via Heroku, achieving 98% delivery accuracy under load testing.Vehicle Collision Prediction using ResNet50
A ResNet50-based computer vision model trained on BDD100K dashcam footage to predict potential collisions. It achieved 81.15% accuracy with an 18% reduction in false positives, using hyperparameter tuning and custom augmentations.Spam Detection with Spark Streaming
A streaming classification system built using PySpark and MLlib for real-time spam detection. Improved processing speed by 35% while handling high-throughput data using distributed machine learning.StoryTube: Generating 2D Animation for Short Stories
An NLP-driven system that converts text stories into 2D animated scenes using AllenNLP for parsing and Tkinter for visualization. The project automates narrative animation by extracting and mapping subject–verb–object structures to characters.
Personal qualities
Analytical and detail-oriented thinker with a passion for solving complex problems through innovative solutions.
Strong communicator with the ability to break down technical concepts and collaborate effectively in team environments.
Adaptable and driven, thriving in fast-paced settings while staying committed to continuous learning and staying ahead of the latest technology trends.
Dedicated to leveraging technical expertise in data analytics, web development, and machine learning to create impactful solutions and meaningful contributions
Interests
Sports & Racing: Passionate about F1, cricket, and badminton.
Tech & Hardware: Enthusiast in computer hardware and performance optimization.
Adventure & Driving: Loves trekking, road trips, and exploring cars.
