E X P E R I E N C E
Jun. 2025 - Aug. 2025
Software Engineering Intern • The Trade Desk↗
‣ Creative Assignment Recommender
- - Led the design and rollout of a creative recommender feature for Kokai, an AI-powered programmatic advertising platform, automating the creative selection process for advertisers and generating an average of 4,300 daily assignments with 99% uptime in 300ms, using Graphic, .NET, C#, GraphQL.
- - Conducted analysis of advertiser-specific patterns to integrate data pipelines, improving recall by 15% through dynamic thresholding and enabling more effective advertising campaign strategies.
- - Collaborated with engineering teams to validate feature integrity via End-to-End and Integration tests, managed database migrations, and ensured seamless daily deployments while minimizing disruptions to existing systems.
GraphQL
C#
.NET
Sep. 2024 - Dec. 2024
Full Stack Developer Intern • GitRoll↗
‣ Productivity Tools
- - Developed tools for process management, enabling visibility into queued processes and filtering out repositories, resulting in faster issue resolution
- - Integrated an open-source custom theme into the GitRoll Profile Card, showcasing developer performance metrics in an engaging format
Next.js
TypeScript
Firebase
Jun. 2024 – Aug. 2024
Frontend Developer Intern • J.P.Morgan Chase & Co.↗
‣ Migration to React
- - Designed, implemented, tested a revamp of an in-house application from Java Servlet and JSP to a React.js with Redux.js frontend connected to a RESTful API backend, increasing maintainability, improving user experience and meeting performance demands via optimized rendering
React.js
Redux.js
Java
JSP
RESTful API
Jun. 2023 – Aug. 2023
Software Engineering Intern • J.P.Morgan Chase & Co.↗
‣ Diversity, Equity, Inclusion Chatbot
- - Led a team of 3 developer interns within a larger team of 6 to build a full-stack chatbot that uses NLP model fine-tuned for company's DEI rules
ReactJS
NodeJS
TypeScript
API
‣ Streamlined Observability as Code and Automated CI/CD
- - Implemented Terraform automation for programmatic creation of synthetic monitors for 10+ app services, reducing repetitive setup and configuration time to seconds, encouraging consistency across the infrastructure, and enabling proper tag policies for analysis of failure patterns across endpoints
Dynatrace
Terraform
Jenkins
Bash
Jun. 2022 - Sep. 2022
Software Engineering Intern • Super Cat Technology Limited↗
‣ Automated ML
- - Developed the Classification component of AutoML, utilizing user-defined criteria to identify optimal ML models for input data and accurately classify target data, resulting in improved customer churn prediction for client companies
- - Boosted T5-based Table QA accuracy from 60% to 88% by filtering columns through semantic search and checking their relevancy
Python
PyCaret
MongoDB
Fastapi
Streamlit
‣ Automated Multi-label text classification
- - Upgraded model used to analyze customer reviews from binary to multi-label sentiment analysis with topical grouping, allowing businesses to make data-driven decisions about where to focus improvement efforts every month
Python
PyTorch
transformers