Hi 👋, my name is

Atharva Negi.

Software Engineer & Full Stack Developer

Software Engineer with 1+ years of experience in full-stack and backend systems, currently pursuing a Master's in Computer Science at Emory University. Strong foundation in algorithms, data structures, and scalable system design.

01.

About Me

Hello! I'm Atharva Negi, a Software Engineer with 1+ years of experience in full-stack and backend systems development.

I am currently pursuing my Master's in Computer Science at Emory University in Atlanta, where I maintain a perfect 4.0 GPA. My expertise spans across modern web technologies, with strong foundations in algorithms, data structures, and scalable system design.

Currently, I work as a Software Engineer at Emory University, where I've refactored and modernized a graduate admissions platform by migrating from Angular to React.js + Redux, integrated with Flask backend and PostgreSQL database. This work has improved modularity and reduced frontend bug reports by 40%.

Previously, I worked at Cognizant where I maintained high-traffic Drupal platforms, delivered 10+ custom modules, and streamlined development workflows using Agile methodologies, reducing system downtime by 98%.

I hold a Bachelor's degree in Computer Engineering from Devi Ahilya University with an 8.5 GPA, focusing on Distributed Systems, Operating Systems, and Database Systems.

Atharva Negi

Here are a few technologies I've known thoroughly:

React.js ⚛️
Java
Python 🐍
JavaScript 🟡
Flask 🌶️
PostgreSQL 🐘
Spring Boot 🍃
Machine Learning 🧠
02.

My Experience

  • Emory University
  • Cognizant
  • Cognizant Intern

Software Engineer @ Emory University

February 2025 - Present

  • Refactored and modernized a graduate admissions platform by migrating from Angular to React.js + Redux, and integrated it with a Flask backend and PostgreSQL database, improving modularity and reducing frontend bug reports by 40%.
  • Deployed and maintained the system used by 30+ faculty members to review 800+ applications during the 2024–2025 admissions cycle, supporting multi-reviewer workflows.
  • Implemented detailed interaction logging (e.g., mouse activity, focus time) to power reflective analytics dashboards, contributing to a 66% decrease in review time per applicant (from ~30 to under 10 minutes).

Tech Stack: React.js, Redux, Flask, PostgreSQL, JavaScript

Software Engineer @ Cognizant

September 2023 - July 2024

  • Maintained and optimized a high-traffic Drupal 8 platform and MySQL database, reducing system downtime by 98% and improving data retrieval speed by 35%.
  • Delivered 10+ custom modules and production-ready features under strict deadlines, enhancing user experience and platform capabilities.
  • Streamlined development workflows using Agile, Git, and CI/CD pipelines, cutting defect rates by 15% across 20+ deployments.

Tech Stack: Drupal 8, MySQL, PHP, Git, CI/CD

Software Engineer Intern @ Cognizant

January 2023 - June 2023

  • Led end-to-end development of the user interface, designing 21 React.js components and developing core pages such as the admin section, user section, and forms using JavaScript.
  • Collaborated with team members to improve the scalability and responsiveness of Java 14 applications using Spring Boot microservices, enabling optimized RESTful API communication and a 30% increase in system throughput.
  • Enhanced UI/UX based on extensive user feedback, reducing support tickets by 25% and increasing customer satisfaction.

Tech Stack: React.js, JavaScript, Java 14, Spring Boot

03.

Projects

Other Notable Projects

RAG-BioQA System

Developed a Retrieval-Augmented Generation pipeline using BioBERT embeddings, FAISS search, and fine-tuned FLAN-T5 model, achieving 17% increase in BLEU-1 scores on PubMedQA dataset.

BioBERT FAISS FLAN-T5 LoRA

Justice Incarceration Visualization

Developed an interactive web-based data visualization tool using D3.js to analyze U.S. incarceration trends with choropleth maps, bar charts, and dynamic filtering capabilities.

D3.js JavaScript HTML/CSS Data Viz

nlTGCR - Neural Network Optimization

Designed and implemented nlTGCR, a novel second-order optimization algorithm with efficient Hessian curvature approximation, achieving 6.3% higher test accuracy compared to ADAM on CIFAR-10/100.

Python PyTorch Machine Learning Optimization
04.

Skills

Programming Languages

HTML/CSS
Java
Python
C/C++
JavaScript
SQL

Libraries & Frameworks

React.js
Redux.js
Node.js
Flask
Spring
Drupal
NumPy
Pandas
Keras
TensorFlow
PyTorch

Databases & Tools

MySQL
MongoDB
PostgreSQL
CI/CD
Git
Agile
Maven
Mongoose
05.

Education

August 2024 - May 2026

Master's in Computer Science

Emory University GPA: 4.0

Relevant Coursework : Software Engineering, Machine Learning, Natural Language Processing, Information Visualisation

August 2019 - May 2023

Bachelor's in Computer Engineering

Devi Ahilya University GPA: 8.5

Relevant Coursework: Distributed Systems, Operating Systems, Database Systems, Data Structures & Algorithms, Cloud Computing

06.

What's Next?

Get In Touch

I'm currently looking for new opportunities and my inbox is always open. Whether you have a question, want to collaborate on a project, or just want to say hi, I'll try my best to get back to you! Let's build something amazing together.

Location
Atlanta, Georgia, USA
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