About

I'm a Computer Science student at University of Florida and a passionate Full Stack Software Developer 🚀 having an experience of building Web and Mobile applications with JavaScript / Reactjs / Nodejs / React Native and some other cool libraries and frameworks.

  • Birthday: 21 December 2001
  • Phone: +1 352-328-2522
  • City: Gainesville, FL
  • Email: Jyotiraditya.lnu@ufl.edu

Interests

Software Development

Data Analysis

Full Stack

Natural Language Processing

Software Engineering

Visualization

Algorithms

Database Management

Education

MS in Computer Science

August 2023 - May 2025
Relevant Coursework
  • Natural Language Processing
  • Data Engineering
  • Operating Systems

B.Tech. in Computer Engineering

August 2017 - May 2021
Relevant Coursework
  • Database Management Systems
  • Data Structures & Algorithms
  • Machine Learning

Online Certification

Business Analytics Graduate

Web Development Bootcamp

Experience

UF Intelligent Clinical Care Center

Feb 2025 - Present

Software Engineer

  • Developed scalable ETL pipelines using Python to ingest, clean, and transform 300K+ SDoH records into a PostgreSQL/PostGIS database, powering AI-driven health disparity modeling and population-level analysis.
  • Built modular geocoding and FIPS conversion scripts using Dockerized DeGAUSS, enabling transformation of 50K+ raw patient addresses into structured geographic identifiers for spatial analysis.
  • Leveraged HiPerGator’s high-performance computing environment to parallelize data workflows, reducing geoprocessing time for large EHR datasets by 60% and accelerating ML-based population health modeling.

LTIMindtree

June 2021 - June 2023

Software Engineer

  • Delivered and owned 7+ enterprise features using Java (Spring Boot), React.js, and REST APIs, reducing manual workflow steps by 35% for finance, supply chain and warehouse teams.
  • Streamlined deployment efficiency by 60% by setting up CI/CD pipelines with Jenkins, enabling up to 5 production releases per quarter across dev, staging, and prod.
  • Increased test coverage from ~55% to over 85% by implementing automated unit and integration testing using JUnit and Postman, reducing post-deployment bugs by 40%.
  • Improved backend infrastructure by integrating AWS S3 for document storage, Lambda for automated workflows, and RDS for managed database services, streamlining operations and reducing maintenance overhead by 20%.

Ascent Cyber Solutions

February 2021 - June 2021

Web Development Intern

  • Constructed a scalable and responsive end-to-end web application in Agile methodology using React.js, Node.js, and MongoDB, enabling individuals to contribute to society's well-being through Credit/Debit card rewards.
  • Integrated Apache ECharts for data visualization, enhancing user experience with advanced features such as data transformation, filtering, clustering, and regression analysis.
  • Troubleshoot and debugging code ensuring 100% compatibility with devices, browsers, and operating systems.

Quanser

september 2020 - December 2020

Student Intern

  • I developed a comprehensive series of modern educational content for use by engineering students around the world. The content was built on Quanser’s uniqeqdexâ„¢ platform that delivers engaging, interactive learning content in technical fields.
  • This unique technology is part of the global movement to modernize and increase the relevance and effectiveness of undergraduate engineering education.

Peacock Solar

June 2020 - July 2020

Data Analyst Intern

  • Conducted statistical analysis and development procedures on a considerable corpus of unstructured data sourced from potential clientele expressing interest in rooftop solar panel installations.
  • Developed comprehensive reports and optimization models utilizing prominent tools such as Power BI, Tableau, and Excel, enabling stakeholders to visualize and interpret complex data sets effectively.
  • Achieved a notable enhancement in customer conversion rates by 21% and a commendable reduction in marketing expenditure by 12% through the implementation of targeted customer identification strategies.
  • Leveraged data-driven approaches to identify and prioritize potential leads, thereby optimizing resource allocation and enhancing overall marketing effectiveness.

Projects

Twitter Sentiment Analysis

Media Player

Socket Communication

Incident Data Extraction

Skills

Languages and Databases

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Frameworks

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Tools

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Contact

Social Profiles

Contact

+1 352-328-2522

+91 787-738-6322