Sahil Saini

P: (506) 440-8554 | E: ss@sahil-saini.com | LinkedIn: linkedin.com/in/sahilsaini1

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Education

Queen's University, Kingston, Ontario

University of New Brunswick, Fredericton, New Brunswick

Cumulative GPA: 3.6/4.3
Dean's List 2021, 2022
IEEE NB Section Prize, April 2022: Awarded by University to the best Senior Capstone Design Project displaying outstanding technical merit.

St. Margaret School, Delhi, India

Junior Developer, June 2022 – Present

Designed and maintained responsive web applications, ensuring optimal user experience across devices.
Architected and implemented RESTful APIs, seamlessly integrating them with backend systems to support IoT services.
Leveraged WebRTC technology and Janus solutions to enable robust real-time audio and video communication features.
Conducted in-depth research on cloud services to enhance product inspection and maintenance processes.
Utilized Docker containerization to develop and deploy scalable on-premises solutions.
Implemented real-time communication systems using Azure technologies, including Change Feed and SignalR service.
Worked with cloud vision models to detect and identify objects.
Built an AI field-service assistant that answers technician questions from equipment manuals, matching real photos of parts to the right manual page for accurate, source-grounded answers.

iOS Developer, May 2021 – August 2021

Developed an iOS application leveraging LIDAR sensor technology to perform real-time 3D scans.
Researched, selected, and integrated product analytics tools to enhance application performance monitoring and user behavior insights.
Redesigned and optimized the 3D mesh viewer using SceneKit and SpriteKit frameworks, improving rendering performance and user interaction.
Implemented new features across both frontend and backend systems using Swift, expanding application functionality and user capabilities.
Conducted thorough debugging processes to identify and resolve application issues, enhancing overall stability and user experience.

Software Engineer, January 2020 – August 2020

Implemented comprehensive AWS (Amazon Web Services) integrations across multiple products, optimizing cloud infrastructure and scalability.
Resolved complex API request issues using Clojure and JavaScript, enhancing system reliability and performance.
Developed and implemented software modifications based on precise design specifications, ensuring alignment with project requirements.
Designed and executed robust unit tests utilizing the Jest framework, improving code quality and reducing defects.
Demonstrated strong autonomy in task execution while fostering collaborative relationships, contributing to a positive and productive team environment.

Junior Software Developer, January 2019 – April 2019

Developed and maintained sophisticated image correlation software for Digital Image Correlation (DIC) analysis, enhancing measurement accuracy in materials testing.
Utilized Java to resolve complex software issues, optimizing performance and ensuring product readiness for market release.
Conducted research on implementing robust license key systems for secure product distribution, focusing on encryption methodologies to protect intellectual property.

Languages: Java, JavaScript, C++, C, C#, SQL, HTML, CSS, MATLAB, Swift, Clojure, VHDL, Julia, Python
Frameworks: JavaFX, React.JS, Jest, React Bootstrap, Express, Karate, Blazor, WebRTC, SignalR
Tools: Git, Postman, AWS, Android Studio, MongoDB, Azure, Docker, Janus

Developer, August 2024 – Present

Build an application to recognize American Sign Language (ASL) hand gestures in real time.
Implemented a data collection pipeline with landmark metadata embedded in each frame for Convolutional Neural Network (CNN) training.
Integrated hands-free control for data collection using voice input.
Github

Developer, January 2026 – April 2026

Built a system that finds fuel-efficient flight paths from Earth to Mars using evolutionary algorithms.
Balanced two competing goals — minimize fuel burn and travel time — to give mission planners a range of best-tradeoff options.
Implemented and compared 4 optimization approaches (Simple EA, NSGA-II, MAP-Elites, NSLC) to find which finds better trajectories.
Github

Developer, January 2026 – April 2026

Built and compared 4 different AI decision-making algorithms (MCTS, DQN, PPO, A2C) on a grid-navigation task to measure which learns fastest and most reliably.
Tinkered with different algorithm configurations to find the best performing one.
Optimized algorithms with different learning rates and loss functions.
Github

Developer, September 2021 – April 2022

Collaborated within a five-person development team to design and deliver a production-ready web application using JavaScript, HTML, and CSS.
Integrated an advanced image processing model to detect and filter explicit content, improving platform safety and user experience.
Developed comprehensive unit tests utilizing the Jest framework, ensuring the reliability and performance of individual application components.
Github