Rohan Gupta
Software Development Engineer with 2+ years of experience
Experience
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, reducing tech support tickets by 70% and handling over 10K 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.
• Time Series Forecasting: Prototyped time-series forecasting models (ARIMA, VAR) integrated with MySQL to predict key mutual fund NAV components using historical benchmarks, maintaining forecast continuity and accuracy during data latency.
• 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
• 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.
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.
Multitask Learning BERT
A multitask model developed by fine-tuning pre-trained BERT on three downstream tasks.
Optimization Algorithm Comparison
Detailed report on Gradient Descent Optimization Algorithms with supporting Python script.
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.