About me

I'm currently pursuing a Master's in Computer Science at the University at Buffalo, with a passion for creating innovative software solutions. My professional experience includes roles as a Cloud & Backend Engineer at Kaleida Health, where I enhanced application performance through AWS infrastructure management and optimized backend services. Previously, as a Machine Learning Intern at Quixy, I developed NLP-driven automation tools that significantly improved operational efficiency.

My skill set spans full-stack development, cloud computing, machine learning, and data engineering, complemented by a solid foundation in languages such as Java, Python, JavaScript, Kotlin, and SQL. I'm driven by curiosity, thrive in collaborative environments, and am always eager to learn and implement new technologies.

Outside of academics and professional work, I've actively participated in hackathons and developer communities, reinforcing my commitment to continuous learning and growth in tech.

  • Resumé

    Current as of 04/25/2025

Background

Education

  1. University at Buffalo

    2024 - Present

    Master's in Computer Science, Specialization in Artificial Intelligence. Current GPA: 3.4

  2. Osmania University

    2020 - 2024

    Bachelor's of Science in Computer Science, Concentration in Artifical Intelligence and Data Science

Experience

  1. Cloud & Backend Engineer

    Kaleida Health

    Jan 2025 — May 2025

    • Managed AWS infrastructure for a full-stack application by deploying a Spring Boot backend on Elastic Beanstalk (using Nginx), hosting the frontend on EC2, and maintaining MySQL databases on RDS.
    • Optimized API performance in the user authentication module by refactoring inefficient multi-table join queries into indexed queries, reducing response times by 35%.
    • Developed and integrated new API endpoints to streamline data flow and enhance overall application functionality.

  2. Machine Learning Intern

    Quixy

    July 2023 — August 2023

    • Used spaCy to build custom NER pipelines automating business rules and collaborated with cross-functional teams to integrate these NLP models into daily operations, resulting in a 15% boost in entity extraction accuracy and a 10% reduction in processing times.
    • Engineered custom actions triggered by natural language inputs for a no-code platform, reducing manual configuration time by 30%.

  3. Lead Software Engineer

    Halsys IT Solutions

    August 2022 - October 2022

    • Developed and maintained ETL pipelines using Python, SQL, and Apache Spark, reducing data processing latency and ensuring timely delivery of analytics.
    • Optimized SQL queries and implemented table partitioning in line with normalization practices, resulting in a measurable 20% reduction in query execution times.

My Skills

  • Programming Languages:

    JavaScript, Python, R, Java, Kotlin, C++


  • Frameworks/Libraries/Other

    OpenCV, Tensorflow, Keras, Scikit-Learn, PyTorch, React, Express/NodeJS, MongoDB, SQL, HTML, CSS/Bootstrap, Bash, Electron, Spring Boot


  • Software and Tools

    Git, Github, Android Studio, Figma, Linux, JIRA, AWS, Google Cloud