+
Technologies
Projects
Awards
+
Years
+
LC
About Me
I am a full stack web developer with a passion for creating interactive and responsive web applications. I have experience working with JavaScript, React, Redux, Node.js, Express, PostgreSQL, HTML, CSS, and Git. I am a quick learner and I am always looking to expand my knowledge and skill set. I am a team player and I am excited to work with others to create amazing applications.
- University of Colorado Boulder
- Degree: Master of Science in Computer Science
- Graduation Date: December 2024
- GPA: 3.94 / 4
- Ramaiah Institute of Technology
- Degree: Bachelor of Engineering in Information Science and Engineering
- Graduation Date: June 2019
- CGPA: 9.33 / 10
Technologies
HTML
CSS
JavaScript
Java
Python
Spring Boot
Flask
React
Next JS
Node JS
Docker
Kubernetes
AWS
GitHub
Experience
Machine Learning Engineer
Virufy, Sunnyvale, CA, US
- Engineered scalable serverless ML pipeline on AWS (Lambda, Glue, S3), preprocessing 10k+ audio samples for feature extraction.
- Designed a real-time feature store with DynamoDB enabling sub-1ms fetch for COVID detection model training and inference.
Full Stack Developer
Institute of Cognitive Science at the University of Colorado, Boulder, US
- Automated the CI/CD pipeline for a web application, optimizing deployment processes by 40% through integration with GitHub Actions and hosting on AWS Amplify.
- Configured interactive dashboard visualization charts, enhancing the clarity and interpretability of predictions from a multimodal deep learning model by 30% after processing audio conversations.
Software Engineer
GE Transportation, Bengaluru, India
- Won 2021 Q1 Pursuing Excellence Award for leading end-to-end development of contract lifecycle management features in RailConnect platform, enabling first-to-market capabilities for Fortune 500 railroad companies.
- Architected a proof-of-concept modernization of legacy monolith into 5 domain-driven microservices using Spring Boot and PostgreSQL, demonstrating 30% performance improvement and securing approval for platform-wide implementation.
- Optimized Elasticsearch query performance by implementing custom analyzers and reducing wildcard searches, achieving sub-second contract lookups and 40% faster aggregation across 1000+ daily transactions.
- Developed 20+ RESTful APIs using Spring MVC and JPA repositories for contract lifecycle management, integrating with third-party approval systems through custom endpoints and handled asynchronous status updates.
- Spearheaded innovative ML price prediction solution using Random Forest regression on 100,000+ historical data points, cutting annual rebate costs by $300,000; won company-wide hackathon among 100+ teams.
Software Engineering Intern
GE Transportation, Bengaluru, India
- Automated customer onboarding process through PL/SQL scripts, achieving 90-second setup time and 70% faster support resolution.
- Built 5 + reactive REST APIs with Spring WebFlux to stream real- time railcar data, enabling efficient filtering and pagination.
- Optimized React / Redux dashboard with lazy loading, pagination, and virtualized lists for real - time railcar data visualization.
- Implemented multi - stage Docker deployments with Kubernetes, enabling seamless scaling across five production environments.
Projects
Hyperparameter Tuning as a Service (HypTaaS)
HypTaaS is a web application developed as the final project for the course CSCI 5253 - Data Center Scale Computing. The platform automates hyperparameter optimization for deep learning models, enabling users to upload datasets and select pre-trained models from Hugging Face. Utilizing a grid search approach, HypTaaS fine-tunes multiple configurations simultaneously on Google Cloud Platform (GCP), streamlining the model development process. The application features a React-based interface with a Flask backend and employs a modular architecture integrating Minio for storage, Redis for caching, and Kafka for messaging. This architecture enhances scalability and facilitates rapid experimentation, making HypTaaS applicable in various domains, including healthcare, finance, and natural language processing, improving performance through efficient hyperparameter tuning.
show moreArxiv Insanity
Arxiv Insanity is a web application developed as the final project for the course ATLS 5214 - Big Data Architecture. The platform aims to revolutionize the literature review process by simplifying how researchers track and explore relationships between academic papers. Using a combination of GoLang, Neo4j, and React, the application implements an interactive citation network that allows users to effortlessly navigate primary research papers and discover related works. The system leverages Terraform for scalable infrastructure deployment on Google Cloud, ensuring efficient handling of large datasets. The project automates the extraction of citation data using the S2AG API and visualizes the complex connections between papers, making the research process more intuitive and streamlined.
show moreSoft Braille
The Soft Braille project focused on developing assistive applications for educating the visually impaired, utilizing Python, PyQt, Pytesseract, and OpenCV.I created an open- source desktop application that converts scanned school textbook pages into braille output, reducing printing costs per page by 80 %.By leveraging the Pytesseract OCR engine and OpenCV for edge detection, the application facilitates effective learning for visually impaired students.Recognized at the Smart India Hackathon, it received an award for Inspiration and is currently in use at Mathru Blind School in Bengaluru, India.
show more
True Cost Predictor
In this project, I leveraged technologies such as Python, NumPy, Pandas, JavaScript, Scikit-learn, and Flask to create a predictive model for rail car hire costs. By preprocessing historical car hire rates, I trained a Random Forest Regression model that achieved an accuracy of 78%. To make the predictions accessible, I developed a Flask web application that showcases car hire cost predictions, aiming to reduce overpayments and streamline rebate claims per transaction. Additionally, I led a team of four in the Network & Logistics Virtual Hackathon hosted by Wabtec Corporation, where we earned first place. Our model contributed to a 40% reduction in overpayments, significantly enhancing cash flow management for the business.
show moreLet's Connect
I'm currently looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!
