I am a driven and passionate software engineer currently working at JPMorganChase with experience in developing robust full-stack applications, enhancing system scalability, and migrating infrastructure to cloud platforms. I have a strong foundation in privacy-preserving machine learning, especially federated learning, and have contributed to research in this domain with multiple publications. My career is built on combining technical expertise with a problem-solving mindset, enabling me to lead projects that integrate cutting-edge technologies with real-world applications.
Education
University of Pennsylvania, Philadelphia, USA Incoming Aug 2025
Master's of Science in Computer and Information Sciences
K.J. Somaiya College of Engineering, Mumbai, India Jun 2020 - May 2024
Bachelor of Technology in Computer Engineering CGPA: 9.41
Courses: Database Technologies, Data Structures, Networks, Soft Computing, Operating Systems
Experience
JPMorganChase, Mumbai — Software Engineer Aug 2024 - Present
Leading application migration to AWS from on-premise infrastructure to improve scalability and reduce operational costs while managing decommissioning of legacy systems. Working on API integration with a new vendor, completing two-way endpoint testing and reconciliation process design, ensuring seamless vendor transition. Won 1st place in the internal hackathon Sepathon by building a Natural language to SQL generator using prompt engineering on large language models.
JPMorganChase, Mumbai — Software Engineer Intern Jan 2024 - Jul 2024
Implemented a new report and scheduler dashboard and enhanced the reporting module with API-level improvements, increasing data reporting efficiency. Conducted sessions on onboarding to internal LLM solutions for the department, organized regular Fun Friday sessions for team-building, and maintained coding best practices through peer code reviews. Successfully closed over 75 Jira stories and handled over 6 independent production releases.
Nasdaq, Bangalore — Software Development Intern Aug 2023 - Dec 2023
Collaborated with internal stakeholders and data teams to document the requirements and perform ETL transformations to map them to functional specifications for data warehousing processes. Utilized monthly snapshots of contract risk pipeline data over 2 years to conduct data analysis and modeling. Built a predictive model that can predict potential contract risk with the current state data in Salesforce.
Nasdaq, Bangalore — Software Development Intern (Summer) Jun 2023 - Jul 2023
Designed and created interactive dashboards using Salesforce CRM Analytics that provide stakeholders with a comprehensive view of real-time CRM data trends, customer behavior, and performance metrics. Trained on over 70 use cases of Salesforce Analytics Query Language and Bindings.
K.J. Somaiya College of Engineering, Mumbai — Research InternJun 2022 - Dec 2022
Conducted thorough literature survey on challenges in recommendation systems, focusing on privacy preservation and cold start scenarios in the federated learning domain and utilized PyTorch and CUDA for implementation. Created a graph neural network utilizing attention mechanisms to enhance the effectiveness of indirect interactions. Presented findings at the academic conference, contributing to the advancement of privacy-preserving machine learning in recommender systems.
Zebpay, Mumbai — Technical Intern Oct 2021 - Mar 2022
Automated the generation of reports by tracking instances and other resources on AWS to eliminate almost 100% unnecessary usage. Auto-tagging of resources with comments to document and analyze requirements. Created custom REST APIs using Python FastAPI, Postman, and Redis caching to get real-time cryptocurrency prices in different currencies and integrated functionality with a slack bot for ease of use.
Projects
Real-Time Surveillance & Object Detection
Designed a privacy-preserving surveillance framework using YOLOv7 and Faster R-CNN under a federated learning setup to reduce data centralization and model training communication overhead. Implemented TCP-based client-server communication and integrated Secure Multi-Party Computation (SMPC). Utilized AWS SageMaker, PyTorch, and WanDB for scalable experimentation and result tracking.
Privacy Preserving Distributed Learning based Recommendation System
Developed a recommendation system based on the federated learning architecture, solving challenges associated with data privacy and protection. Conducted a comprehensive literature survey to develop the client-server cluster and employed WanDB for experiment tracking and visualization.
Savant - All in One Research Assistant
Devised a comprehensive virtual research assistant system to address the common challenges of time-consuming and tedious paper reading and research processes, offering a solution to make research more accessible. Leveraged a technology stack including MongoDB, React, NodeJS, Express.js, and Material UI to create an efficient, powerful, and collaborative platform for streamlined research for students and researchers. Achieved top 10 ranking out of the 160+ teams at the national-level hackathon, KJSCE Hack 7, and selected for incubation by Riidl - Research Innovation Incubation Design Labs, a prominent technology incubator, Cohort 2023.
SafeSocial - A Chrome Extension
Developed a Chrome extension used to block hateful and offensive comments on social media sites like Youtube and X using manifest version 3 and NLP model leveraging Keras and TensorFlow modules of Python.
Rialto - Personalized Banking System with the help of predictive analysis
Built a personalized banking system using NextJS, ExpressJS MongoDB, Python, and Flask to help financial service providers identify the most relevant financial products for their customers. Created machine learning models for credit risk analysis, churn model, and demographic-related sales prediction to provide "next best action" in the form of a personalized report.
Tableau Dashboard - Clinical Data Analysis
Designed a Tableau storyboard analyzing a dataset representing 10 years of diabetic clinical care at 130 US hospitals and derived reasonable conclusions.
Technical Skills
Languages
Frameworks/Libraries
Tools & Platforms
Cloud & Databases
ML & Privacy Techniques
Certifications
Mathematics for Machine Learning Specialization Imperial College London
Object-Oriented Data Structures in C++ University of Illinois Urbana-Champaign
TensorFlow Developer Specialization DeepLearning.AI
Analytics for Decision Making University of Minnesota
AWS Cloud Technical Essentials Amazon Web Services
Publications
A Comprehensive Analysis of Inference Attacks in Federated Learning IEEE PuneCon 2023
D. Ameria, U. Kumar and S. Sankhe
Blockchain-based Personalized Federated Learning leveraging the SMPC protocol IEEE ICCST 2023
S. Dhumale, D. Ameria and S. Shukla
MetaFRS - Federated Learning based Cold Start Recommendation System using Meta-Learning IEEE EASCT 2023
U. Kumar, D. Ameria and P. Gupta
Preserving Privacy in Next Keyword Prediction using Federated Learning IEEE ICACIC 2023
S. Tyagi, A. Pawar, U. Kumar and D. Ameria
Extracurricular Activities
Secured 1st Prize at the national-level hackathon Hackerstellar, organized by CSI Student's Chapter at KJSCE, developing SpaceVest, a sustainable investment platform promoting eco-friendly investment options and services.
Volunteered for The Schools Challenge, a program by JPMorganChase and Agastya International Foundation, mentoring underprivileged students to build a solution to detect paddy plant diseases.
Provided basic reading and writing lessons to an uneducated house-help to help her navigate daily literacy needs as part of the CMCA volunteer activity.
Led public relations for Somaiya Voices, the official student-run newspaper of the university spread across 3 campuses.
Participated in over 10 national-level hackathons and secured top 10 positions in more than 3.