Experience
Incoming Software Engineer Intern
Amplitude
San Francisco, CA
- •Will architect and build high performance distributed data warehouse systems at Amplitude, powering scalable analytics infrastructure that accelerates data processing and drives reliable, real time insights at scale
Software Engineer Intern
Ada
Toronto, ON
- •Engineered a scalable data storage and indexing architecture to support 10B+ messages and led migration of billions of records across databases, improving query performance by 20% and reducing latency by 15%
- •Redesigned the company's core customer-facing dashboard using React and Typescript, significantly improving navigation clarity and overall workflow efficiency, and reducing average task time by 20% for over 220,000 users
- •Automated the client offboarding process by building a DAG with Airflow, Datadog, AWS Redshift, and MongoDB, writing optimized SQL to streamline data handling, improving reliability by 30%, and eliminating manual tasks for all customers
- •Optimized the chat system handling 100,000+ daily requests, improving response speed and reliability by 15% for all users
- •Designed and built an MCP integration connecting external MCPs, improving cross-system reliability by 25% and reducing critical workflow latency by 15%, while enhancing platform performance, interoperability, and maintainability
Software Engineer Intern
Ericsson
Ottawa, ON
- •Implemented a Jenkins-Python CI/CD pipeline to automate backend data delivery from databases and services to JavaScript dashboards and Power BI, increasing report capacity 4-5x while improving efficiency and consistency
- •Created and refined Python scripts to merge, format, and structure data into the desired connection source, ensuring easy integration with Power BI, SQL databases, and REST APIs for efficient data management
- •Deployed an automated data extraction and processing system using Selenium to scrape HTML pages, generate organized reports, and autofill forms, reducing manual effort by 70% and cutting processing time from minutes to seconds
Projects
NoteThese
FounderNext.js, React, Redis, BullMQ, Fly.io
- •Developed an AI-powered study platform featuring a web dashboard and Chrome extension, transforming documents and audio into instantly generated notes, flashcards, quizzes, and interactive study tools, enhancing learning efficiency for users
- •Built a high-performance background processing system with Redis, BullMQ, and Fly.io workers, automating AI note generation via OpenAI and cutting user wait times by 80% for thousands of daily requests
- •Built scalable storage with Supabase and Cloudflare R2 for high-performance handling of growing documents and audio
Reddit Stock Sentiment Analyzer
Python, TypeScript, Next.js, React, Reddit API
- •Deployed an AWS Lambda-based data pipeline with Python to scrape and process Reddit posts hourly, reducing processing time by 20% and analyzing stock-related keywords with contextual sentiment scoring
- •Designed and created a scalable NoSQL data architecture using Amazon DynamoDB, reducing average query latency by 35% and enabling real-time analysis of high-volume, time-stamped sentiment data from Reddit stock discussions
- •Engineered a custom GraphQL API using AWS AppSync and Redis for real-time caching and fast front-end responses, improving load speed, scalability, and user experience under high traffic
Facial Recognition System
Machine Learning, OpenCV, C++
- •Implemented a machine learning model to analyze and store facial data of students, resulting in a 20% improvement in facial recognition using the OpenCV Library and C++
Technical Skills
Languages & Frameworks
Next.jsJavaPythonJavaScriptSQLHTML/CSSReactTypeScriptNode.jsExpress
Technologies
PostgreSQLMySQLSQLiteSQL ServerAIAWSDatadogElasticsearchBullMQRedshiftFly.ioClickhouse
Education
Carleton University
Bachelor of Computer Science (Co-op)
Minor in Statistics
Ottawa, Canada
GPA: 3.9/4.0
Expected: May 2027