Rohan Gupta
Software Development Engineer with 2+ years of experience
Experience
August 2025 - Present
Graduate Teaching Assistant @ University of Wisconsin, Madison
Wisconsin, USA
CS 354
• Guiding a class of 500+ students in C programming, memory management & assembly level concepts.
June 2023 - Aug 2025
Software Engineer @ JPMorganChase
Bangalore, India
• Generative AI: Prototyped a scalable internal chatbot assistant using Retrieval-Augmented Generation (RAG) with GPT-3.5 via AWS Bedrock API, handling over 30K queries during beta rollout.
• RAG Pipeline: Developed a robust data preprocessing pipeline using Python and Apache Spark to scrape and structure internal wiki content, leveraging FAISS for fast vector-based retrieval in the RAG workflow.
• Data Archival: Developed a large-scale data offloading strategy for production SQL database, reducing the active footprint by 35%, achieving a significant reduction in storage costs.
• Cloud Computing: Automated the data archival process using a serverless AWS Lambda workflow to S3, enabling efficient, on-demand access to terabytes of archived JSON datasets.
• Cloud Computing: Reduced infrastructure costs by 55% by deploying multiple Spring Boot applications on AWS using Docker, enabling seamless containerization and scalable cloud-native integration.
Feb 2023 - June 2023
Software Engineering Intern @ JPMorganChase
Bangalore, India
• Frontend: Led the modernization of a key dashboard component by migrating the front-end to React JS and AG Grid with Cypress E2E test suite, enabling complex data interaction and reducing UI latency by 30%.
• Cloud Computing: Implemented REST Endpoints to generate S3 presigned URL for secure client-side file transfers, reducing server load.
June 2022 - September 2022
Software Engineering Intern @ Samsung Research
Bangalore, India
• Android Development: Developed a new library module for an android app using Kotlin Flow and Coroutines, streamlining asynchronous operations and reducing transaction complexity by 25%.
• Pipeline Optimization: Optimized the CI/CD pipeline by implementing strategic build parallelization, leading to a 30% reduction in build time.
Projects
Personalized E-commerce Recommendation
A retrieval based recommendation system with two tower architecture.
Review Rating prediction
Modified neural matrix factorization model for Amazon Products combining item metadata, review texts, and user-item interactions.
Text-2-SQL Generator
Fine-tuned bart-base on the GretelAI dataset to translate natural language questions into executable SQL queries.
Repeat Purchase Prediction
An XGBoost Classifier based model to estimate the likelihood of a customer making a repeat purchase.
Scene Classification
Ensemble model by leveraging transfer learning with CNNs for image classification.
Education
University of Wisconsin Madison
2025 - Present
M.S. in Computer Science
• Relevant Coursework: Machine learning
• Proficient in statistical analysis, hypothesis testing, and applying machine learning algorithms for predictive modeling.
National Institute of Technology Durgapur
Aug 2019 - May 2023
B.Tech.(Honours) in Computer Science Engineering, GPA: 3.69/4
• I have undertaken coursework in CS including DS and Algorithms, and Software Engineering and electives in Machine Learning, Data Analytics and Cryptography enabling me to be proficient in C/C++, Python, DBMS, OS.
• I have done several projects in classification and regression models, deep learning, and image classification.
• I was ranked in top 5% of the class among a cohort of 200 students majoring in Computer Science Engineering.