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.

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Skills

Languages & Frameworks

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

Databases

PostgreSQL
MySQL
MongoDB
Firebase

Cloud & DevOps

Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
Docker
Jenkins

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

Work Experience

Software Engineer Intern

Codecademy (Skillsoft)

Jan 2025 – Present

Reduced OpenAI token usage by 20% by building a toggle-based content generator, cutting API costs at scale.
Enabled global reach by integrating Amazon Translate, supporting content generation in 5 languages.
Built scalable features using Next.js, TypeScript, GraphQL, and Ruby on Rails, enhancing the learner experience for 1M+ users.
Contributed to Agile sprints, collaborating cross-functionally to deliver high-impact product updates.

Software Test Engineer

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

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 an end-to-end data pipeline using Apache Kafka and AWS services (S3, Glue, Athena) to process and analyze real-time stock market data. Automated schema detection using AWS Glue Crawler, reducing manual efforts and streamlining data ingestion, storage, and querying for efficient financial data processing.

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

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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