Bio

I am a recent Master of Science graduate in Computer Science from the The University of Texas at Arlington , where I maintained a 4.0/4.0 CGPA and was awarded the Dr. Jack Fitzer Memorial Scholarship for academic excellence. I am a Full Stack Software Engineer with a strong foundation in building scalable microservices and web applications.

My professional experience includes developing and maintaining distributed microservices for Dara AI Docs team, which processed over 5,280 loan files daily at Sagent Lending Technologies. I also engineered backend systems with integrated financial controls and risk automation, successfully reducing loan servicing costs by 40%. At Smartlink Health, I engineered and maintained automation agents using Java and Selenium, integrating with over 90 different EHRs for healthcare clients.

Prior to this, as an Associate Member of Technical Staff at Model N , I designed and delivered scalable features for a Life Sciences platform using Java and ReactJS. I also engineered a File API/Document Store system using ReactJS, TypeScript, MariaDB, and Prisma ORM to optimize large-scale file storage and retrieval. My technical skills include Java, JavaScript, Python, ReactJS, Spring Boot, and experience with technologies like AWS, Azure DevOps, Docker, and Kafka.

Projects

Food Delivery Application

ReactJS, Redux, Node.js, Express.js, MongoDB

Spearheaded the development of a comprehensive food delivery application with a team of 5, integrating essential features such as user authentication, Redux-powered cart management, and a payment gateway to enhance user experience and streamline the ordering process. Orchestrated the creation of user and admin dashboards, facilitating efficient management of users, products, and orders through intuitive interfaces and protected routes for administrative functions.

Booking Application

Full-Stack Development, ReactJS, Node.JS

Developed a full stack booking application with a team of 4, encompassing features such as user authentication, accommodation management, and booking functionality, including uploading photos and editing capabilities. Implemented a comprehensive suite of pages, including login/register, account management, detailed listings to build a robust web application using MongoDB, Express.JS, React.JS and Node.JS.

Shortest Path Distance Approximation using Deep Learning

Node2Vec, Word2Vec, Python

Developed a python application, with a team size of 2, which outputs an estimate of the shortest path between source and destination nodes using vector embeddings. Poisson regression gave the best result with a final accuracy of 87%.

You can see more projects on my Github Page.

Publications

DEEP REINFORCEMENT LEARNING FOR ROBOT PATH PLANNING WITH PERIODICALLY MOVING OBSTACLES: CURRENT METHODS AND CHALLENGES

Published in Neuro Quantology, November 2022

We address the problem of path planning for mobile robots in dynamic environments. We propose a learning-based approach that leverages spatial and temporal data to overcome the limitations of traditional planning algorithms in the presence of moving obstacles. The paper provides a comprehensive survey of deep reinforcement learning (DRL) techniques and their application in various navigation scenarios, including obstacle avoidance and multi-robot navigation. We also discuss the evolution of DRL-based navigation and highlight the challenges and potential solutions in this field.

Education

Master of Science - Computer Science (Aug 2023 - May 2025)

The University of Texas at Arlington

Cummulative GPA: 4.0 / 4.0

Bachelor of Engineering - Computer Science Engineering (Aug 2018 - July 2022)

Chaitanya Bharathi Institute of Technology, Hyderabad

Cummulative GPA: 8.36 / 10

Work Experience

Software Engineer

Smartlink Health, Remote: July 2025 – Present

  • Engineered and maintained robust automation agents using Java and Selenium, integrating with over 90 different EHRs to streamline data extraction and insertion for healthcare clients.
  • Developed backend services with Spring Boot to support intelligent agent functionality, enhancing data interoperability and improving risk adjustment and care gap closure processes.

Software Developer

Sagent Lending Technologies, Dallas, TX: August 2024 – June 2025

  • Developed and maintained distributed microservices using Java, Spring Boot, and Kafka, to process and scale the processing of over 5280 loan files daily.
  • Engineered backend systems with integrated financial controls and risk automation to support a comprehensive financial platform, reducing loan servicing costs by 40%.
  • Automated classification of 300+ financial document types and developed secure data pipelines using PostgreSQL, IBM SFG, and client SFTP, reducing manual effort by 60%.
  • Monitored and tested REST APIs with Postman and managed CI/CD pipelines in Azure DevOps, contributing to a fast-iteration environment.
  • Spearheaded a research project to design a call graph analysis system for legacy COBOL financial systems, using AI/ML to model dependencies and enable risk analytics.
  • Transformed 500K+ graph records into vectorized representations for ML/NLP tasks, including fraud prediction and compliance validation.

Associate Member of Technical Staff

Model N, Hyderabad (Aug 2022 - Jul 2023)

  • Proficient in Java and ReactJS, contributed to the development, testing, and enhancement of software features built for the manufacturers in the Life Sciences domain at Model N.
  • Wrote clean, well-tested code, and technical documentation for the Provider module, achieving 93% code coverage through unit testing using JUnit and Mockito.
  • Reduced task time from 60 to 5 minutes and improved efficiency by 80% in an Agile environment by writing a script that automates unit test execution.
  • Worked on the development of the “File API/ Document Store”, a centralized file management system for Model N employees. Utilized ReactJS, TypeScript, MariaDB, Apollo Client, and Prisma ORM to create an efficient platform for file storage, retrieval, editing, and seamless handling of large memory files.
  • Used Scrum and Agile processes to develop sophisticated, well-structured solutions.

Research IoT Intern

IIIT Hyderabad, Hyderabad, India (Apr 2021 - May 2021)

  • During the internship, I prioritized expanding my understanding of IoT technologies, with a particular focus on grasping the fundamentals, real-world applications, and hands-on implementation of IoT systems.
  • I engineered and implemented a gas sensor system that detects leaks with 95% accuracy. It promptly notifies the owner via email and instant messaging, reducing the response time by 60%.

Web Development Intern

Brain o vision solutions, Hyderabad, India (Jun 2020 - Jul 2020)

  • Built a full-stack web application for placing orders for diagnostic tests through doctor prescription upload, which reduces the amount of paperwork, estimated at about 75%.
  • Collaborated with my project mentor to test and integrate new design capabilities. Adhered to best practices for web security. Troubleshot and debugged code ensuring compatibility with devices and browsers.