Amrit Kaur

AI Software Engineer

Greater Vancouver Metropolitan Area

About

Software Engineer with Master’s in Computer Engineering with experience in building high-performance applications and data platforms across financial and public safety enterprise systems. Skilled in optimizing large-scale services, developing automation pipelines, collaborating with cross-functional teams to deliver scalable solutions and integrating services across distributed platforms. Proficient in Python, Java, AngularJS, and Snowflake, crafting efficient solutions for complex problems. Beyond work, I am deeply curious about the transformative potential of emerging technologies like AI and IoT. Whether it’s mentoring students, participating in hackathons, or developing innovative solutions to address global challenges like disaster relief and food waste, I thrive on blending technical expertise with creative problem-solving to create meaningful impact.

Experience

  • Software Engineer at Versaterm
    Dec 2025 - Present · 8 mos

  • Software Engineer at Morgan Stanley
    Feb 2022 - Feb 2025 · 3 yrs 1 mo

    Worked on end-to-end development of internal inventory management tools using Spring Boot and Angular to replace manual tracking systems; improving asset traceability and reduced manual logging efforts. Migrated legacy Sybase-based APIs to Snowflake while ensuring full backward compatibility and data integrity through comprehensive regression testing. Developed and deployed RESTful APIs to integrate shipment tracking systems with internal platforms, enabling real-time logistics visibility across global hardware movements and reducing SLA breaches. Modernized legacy frontend by building reusable Angular components and implementing automated testing with Cypress. Mentored 10+ interns, leading onboarding, weekly code reviews, and technical knowledge sessions to promote best practices, accelerate onboarding time, and encourage collaborative development.

  • Research Assistant at Concordia University
    Jan 2021 - Apr 2021 · 4 mos

    Log Analysis using LLMs to identify patterns, anomalies and potential issues

  • IoT Intern at Optimus Research Labs
    May 2017 - Aug 2017 · 4 mos

    Designed and developed IoT applications using Raspberry Pi and Arduino, integrating hardware with IFTTT via Pub/Sub protocols and interfacing diverse peripherals like sensors, keypads, relays, LCDs, LEDs, and motors.