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.
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 architect and deploy production platforms supporting research initiatives — including a full-stack evaluation platform handling 2000+ runs across 4 research projects, deployed on AWS with Docker-based CI/CD pipelines.
Previously, I worked at Cognizant where I maintained high-traffic Drupal platforms, optimized MySQL performance, and improved Java Spring Boot API throughput by 30%.
I hold a Bachelor's degree in Computer Engineering from Devi Ahilya University with a 3.5 GPA, focusing on Distributed Systems, Operating Systems, and Database Systems.
Here are a few technologies I've known thoroughly:
My Experience
- Emory University
- Cognizant
- Cognizant Intern
Software Engineer @ Emory University
February 2025 - Present
- Reduced manual review cycles by 45% by architecting and deploying a production full-stack evaluation platform using React, FastAPI, Flask, AWS RDS, and S3 supporting 2000+ evaluation runs across 4 research initiatives.
- Increased deployment frequency and reduced operational overhead by 50% by designing modular backend services and implementing 25+ RESTful APIs with Docker-based CI/CD pipelines using Azure DevOps and GitHub Actions.
- Reduced deployment time by 70% by migrating a production Ruby on Rails application to a containerized AWS ECS architecture with ECR image pipelines and automated releases across development, staging, and production environments.
- Designed and deployed a full-stack academic planning SaaS platform using React, TypeScript, Flask, and PostgreSQL serving 200+ active users and processing over 10,000 academic records with high system availability.
- Engineered a rule-based validation engine for prerequisite and graduation checks across 5 academic tracks and implemented Redis caching to reduce database load and improve application response time during peak usage.
Tech Stack: React, TypeScript, FastAPI, Flask, PostgreSQL, AWS (ECS, ECR, RDS, S3), Docker, Azure DevOps, Redis
Software Engineer @ Cognizant
September 2023 - July 2024
- Debugged and resolved 20+ production defects on a Drupal 8 platform by analyzing application logs and MySQL queries, reducing recurring issues and improving system stability across multiple releases.
- Optimized MySQL database performance using composite indexing, query restructuring, and caching strategies, improving response time by 35% under peak traffic conditions.
- Increased backend service throughput by 30% by optimizing Java Spring Boot APIs and refactoring service layer logic to support higher concurrent traffic loads.
Tech Stack: Drupal 8, MySQL, Java, Spring Boot, Git, CI/CD
Software Engineer Intern @ Cognizant
January 2023 - June 2023
- Developed 20+ reusable React components across admin and user interfaces, improving UI consistency and reducing front-end development time for new features by 30%.
- Collaborated with backend engineers to optimize REST APIs and SQL queries, improving request response times by up to 25% under concurrent load.
Tech Stack: React.js, JavaScript, Java, Spring Boot, SQL
Projects
Featured Projects
Featured Project
CoRAGen - Multi-Aspect RAG Interface
Built a full-stack comparative RAG interface that enables users to analyze controversial queries across multiple stances, integrating GPT-4, Claude, and HuggingFace models with Google, Bing, and PyTerrier retrieval engines. Designed an LLM-judge evaluation pipeline validated through a user study where 80% of participants demonstrated reduced stance polarization on controversial queries.
Featured Project
ReSource - Food Sharing Platform
Spearheaded development of a full-stack resource-sharing platform across a team of 6, personally owning the React.js frontend with JWT authentication, real-time chat via Socket.IO, and an interactive Leaflet map for location-based food listings. Architected a modular Flask backend with SQLAlchemy and SQLite, designing 20+ RESTful APIs while refactoring service layers to eliminate duplicated business logic.
Other Notable Projects
RAG-BioQA System
Developed a RAG pipeline using BioBERT embeddings, FAISS search, and fine-tuned FLAN-T5 model, achieving 17% increase in BLEU-1 and 11% in ROUGE-1 on PubMedQA. Evaluated 3 re-ranking strategies (BM25, ColBERT, MonoT5) on 181K+ biomedical QA pairs.
Open Library Edition Discovery
Built a full-stack search and analytics platform over 49.3M book records (17GB) using React and Flask on GCP. Achieved 22,000x query speedup via materialized views, reducing analytics from 7 minutes to 0.02 seconds, with 24 strategic indexes across 13 tables.
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.
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.
Open Library — DB Systems Build
Database Systems course project implementing the full Open Library dataset: schema design across 13 tables, ingestion of 50GB+ data dumps, connection pooling, and 5 analytics features including author collaboration networks and community reading trends.
Certifications
AWS Certified AI Practitioner
Amazon Web Services
Validates knowledge of AI, ML, and generative AI concepts, methods, and strategies on AWS — including responsible AI use, AWS infrastructure, and core service pricing models.
View CredentialBuild Long-Context AI Apps with Jamba
DeepLearning.AI — Jan 2025
Covered techniques for building AI applications that leverage long-context models, with a focus on the Jamba architecture and practical prompt design for extended inputs.
Artificial Intelligence (AI)AI Python for Beginners
DeepLearning.AI — Sep 2025
Introduction to Python programming with an AI-first approach — covering data handling, automation scripts, and integrating AI APIs for practical use cases.
PythonAISkills
Programming Languages
Frameworks & Libraries
Databases
Cloud & DevOps
AI / ML / LLM Systems
Education
Master of Science, Computer Science
Emory University GPA: 4.0
Relevant Coursework: Software Engineering, Machine Learning, Natural Language Processing, Information Retrieval, Database Systems
Bachelor's in Computer Engineering
Devi Ahilya University GPA: 3.5
Relevant Coursework: Distributed Systems, Operating Systems, Database Systems, Data Structures & Algorithms, Cloud Computing
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.