Sahaj Chhabra

Canada0

building things

Full-stack engineer building AI-powered video and media systems at scale, from thumbnail generation pipelines to verticalization APIs and distributed encoding infrastructure.

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Projects

Pixitt

Camera roll cleaning app with Tinder-like interface

Built a camera roll cleaning app using SwiftUI with a Tinder-like interface for deleting duplicate or low-quality photos. Implemented duplicate detection using perceptual hashing and on-device ML with MVVM architecture, asynchronous media loading, and optimized memory management to handle large photo libraries efficiently.

InvestorAI

Personal finance tool using LLMs for portfolio analysis

Built a personal finance tool that uses LLMs to analyze stock portfolios and generate insights based on financial documents and market data. Created embedding pipelines using pgvector for context-aware retrieval with RAG architecture, deployed to Azure Kubernetes Service.

Fit@Home

Real-time AI personal trainer with video streaming

Built an AI personal trainer for nwHacks that streams video over WebRTC to a Python backend using MediaPipe to track 33 body landmarks and calculate joint angles for real-time exercise form validation.

Experience

Quickplay

Jun 2024 — Sep 2026 · 2 yrs 3 mos

Software Engineer

Jan 2025 — Sep 2026 · Toronto, Ontario, Canada

Built an end-to-end AI thumbnail generation pipeline combining computer vision for frame extraction with LLM-powered captioning for thousands of video assets. Designed and shipped a Verticalization API using YOLO object tracking to convert 16:9 videos to 9:16 vertical shorts at scale for the Pilipinas Live app. Engineered a Golang microservice to automate n8n workflow deployments, eliminating 90% of manual migration work. Architected a distributed HLS encoding system in Go generating adaptive bitrate streams for 20,000+ video assets using multithreading and Pub/Sub messaging.

Software Engineer Intern

Jun 2024 — Aug 2024 · Toronto, Ontario, Canada

Implemented a GraphQL-to-SQL translation engine with nested query support and batch resolution to eliminate N+1 query overhead. Led testing efforts across multiple microservices with unit and integration tests in Go using table-driven patterns, increasing SonarQube test coverage from 14% to 97%. Collaborated with three cross-functional teams to build an internal tool converting legacy XML metadata files to JSON compatible with any web-based CMS.

Software Developer Intern

BMO

May 2022 — Aug 2022 · Toronto, Ontario, Canada

Co-Founder & CTO

Instagrad

Sep 2024 — Dec 2025 · Vancouver, BC

Co-founded an AI startup to streamline photo studio operations and secured a partnership with Vancouver's largest studio, gaining access to 10+ petabytes of image data to train a proprietary on-premise model for AI-generated graduation composites. Built an automated face-matching pipeline that ingests thousands of graduation photos and clusters them into per-student folders using facial recognition, replacing a manual sorting process.

Education