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E X P E R I E N C E

Sep. 2024 - Dec. 2024
Full Stack Developer InternGitRoll

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 InternJ.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 InternJ.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 InternSuper 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