Hi, I'm a

I'm a Computer Science Master's student at Northeastern University, passionate about building reliable, scalable, and user-focused software.

With hands-on experience in full-stack development, backend systems, and AI-powered applications, I specialize in technologies like Ruby on Rails, GraphQL, AWS, React, and FastAPI.

As a Software Engineer Intern at Codecademy, I’ve built backend systems and multilingual content workflows that improve the experience for over 1 million learners worldwide.

I'm currently seeking full-time Software Engineer roles, where I can bring a strong foundation in backend engineering, cloud infrastructure, and collaborative product development.

View Resume Contact Me

Skills

Languages & Frameworks

Python
Java
TypeScript
JavaScript
Ruby on Rails
React
Next.js
Node.js
Flask
FastAPI
GraphQL
Apollo Router

Databases

PostgreSQL
MySQL
MongoDB
Firebase

Cloud & DevOps

Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
Docker
Jenkins
Apache Kafka
AWS Lambda
AWS Glue
AWS Athena

Machine Learning & AI

TensorFlow
Scikit-learn
LangChain
RAG Pipelines
Chroma
Pinecone
Prompt Engineering
Agentic Workflows

Testing & Automation

Pytest
Selenium
Appium
Robot Framework
Postman
Jest

Tools & Platforms

Git & GitHub
Jira
Confluence
Trello
Slack
Zoom
VS Code
Power BI
Tableau
Plaid
Dwolla
Appwrite
VAPI

Work Experience

Software Engineer Intern

Codecademy (Skillsoft)

Jan 2025 – Present

Engineered user-facing functionalities and integrated full-stack solutions using GraphQL, TypeScript, Next.js, Ruby on Rails, AWS, and Apollo Router to enhance responsiveness and performance.
Engineered a token optimization toggle to reduce OpenAI usage by 20%, lowering platform inference costs.
Implemented multilingual content translation via Amazon Translate, enabling support for 5 additional languages.
Collaborated with design, content, and backend teams in an agile environment to deliver features aligned with business requirements.

Software Development Engineer in Test

Accenture

Oct 2021 – Dec 2023

Built a CI/CD test automation framework using Pytest and Jenkins, reducing regression time by 18%.
Achieved 87% test coverage by developing and maintaining 500+ automated test cases for critical insurance modules.
Detected and triaged 100+ high-priority defects via JIRA, ensuring consistent product quality in each release.

Operations Intern

Integration Wizards

May 2021 – Jul 2021

Reduced setup time by 30% by optimizing Docker containers for deployment pipelines.
Boosted object detection accuracy using YOLOv5 by annotating 70+ unique object classes in video streams.
Collaborated on version-controlled development, contributing over 10,000 lines of code using Git.

Certifications

IBM Data Science Professional Certificate

Meta Front-End Developer

Google Data Analytics Professional Certificate

Projects

Maine Needs – Request Management Platform

Launched a production-ready full-stack system for a non-profit community donation organization with 200+ caseworkers and handling 100+ requests/day. Reduced fulfillment time by 30% with real-time dashboards, alerts, and automated status tracking. Integrated OCR workflows with Google Cloud Vision to auto-fill forms, reducing manual data entry by 80%.

PrepWise – AI Mock Interview Platform

Created a voice-interactive interview experience using VAPI and Gemini AI, completing 1300+ sessions for 100+ users. Deployed scalable, authenticated APIs to personalize and deliver LLM-based mock interview content, providing realistic interview practice and feedback.

Live Demo

Horizon – Full-Stack Banking Platform

Built a secure finance app with bank linking (Plaid), transaction sync, and Dwolla payment transfers. Designed responsive dashboards and backend services using Appwrite, Zod validation, and Sentry monitoring, creating a comprehensive banking solution with modern security practices.

VidSummarize

Developed a React-based web application that leverages Google's Gemini AI to transcribe, summarize, and enable Q&A for YouTube videos. Integrated SQLite for user authentication and MongoDB for chat storage, enhancing content accessibility and user engagement. Additionally, simulated subscription-based access using Stripe, ensuring secure and seamless payment workflows.

Stock Market Data Pipeline

Designed a streaming pipeline using Kafka, AWS Lambda, and Glue to ingest 100K+ real-time stock transactions. Automated schema inference and data querying using Athena and Glue Crawlers to support serverless analytics, creating an efficient end-to-end data processing solution for financial market analysis.

Credit Card Fraud Detection

Developed a SMOTE model for detecting fraudulent credit card transactions, achieving an impressive 92.89% accuracy on a dataset of 284,807 transactions. Conducted extensive exploratory data analysis to identify key traits of fraudulent activities, revealing that such transactions were distributed throughout the day and typically involved amounts under $2,250.

Stock Market Analytics Dashboard

Developed a comprehensive Stock Market Analytics Dashboard using Python, Dash, and Plotly, enhancing real-time data visualization for stock price trends and historical analysis. Integrated interactive features such as live stock price updates, volume charts, and price comparison charts, significantly improving user engagement and enabling financial analysts to make informed decisions.

Third Eye: Object Recognition System

Engineered a real-time object recognition system using Raspberry Pi and camera modules, capable of detecting 110 objects with 98% accuracy, enhancing environmental awareness and object classification. Optimized performance by fine-tuning the YOLO v3 model and leveraging hardware acceleration on Raspberry Pi, resulting in an 18% increase in processing speed for real-time detection.

Non-Invasive Glucometer

Designed and developed a non-invasive glucometer by integrating an advanced IR sensor with Raspberry Pi components, leading to a 12% increase in device efficiency. Applied linear regression algorithms to establish the correlation between IR light intensity and blood glucose levels, achieving an 84% prediction accuracy through extensive manual testing and validation.

Publication

Talk to me

AI Chatbot

I've built a chatbot using Google Gemini that knows all about my skills, work experience, and has a copy of my CV / Resume. Feel free to ask it any questions to get a better idea of who I am and what I've done.

I'm currently on the lookout for new opportunities, so if you have a project you think I'd be a good fit for, please reach out!

Download Resume