Adwait Gadigone.

Software Developer @ Let's Get Together (LGT)

LGT is a GTA-based company running the Tech4All program, connecting donors with people who need refurbished devices. I work across their platform's frontend and backend, improving usability and mobile responsiveness across the site and building out core parts of their device donation and tracking system in React and Java/Spring Boot, with Salesforce as the underlying data layer. Since joining, I have shipped 25+ merged pull requests as part of an Agile team.

• Improved mobile responsiveness and UX across multiple parts of the platform.
• Built core features of the device donation and tracking system in React, working alongside a Salesforce-based backend.

Software QA & Testing @ Purple Wins

Purple Wins is building an MVP-stage platform that quantifies organizational execution risk for company leadership. They needed someone thorough and fast to stress-test the product before it reached real users. I tested the production environment across the full stack (JavaScript, Python, PostgreSQL, deployed on Railway) and documented issues across UI, accessibility, and navigation.

Working within an Agile Jira workflow, I triaged bugs by severity and escalated the most critical ones through a formal engineering report, giving the dev team a clear action plan.

• Documented 7+ defects across UI, accessibility, and navigation issues across the platform.
• Compiled and escalated P1-critical defects into a formal engineering report to support the platform's release readiness.

Machine Learning Fundamentals (MLF) @ UTMIST

Involved in UTMIST's Machine Learning Fundamentals program, building core supervised learning models (e.g. linear and logistic regression, neural networks) on standard datasets using Python.

Founder, President & Instructor @ AI and Game Dev Club

I started this club from scratch because I wanted to give students a real place to build technical skills, not just talk about them. What began as a small group quickly grew to 40+ active members, and I designed every aspect of our curriculum, from Python-based ML workshops to full game-development pipelines in GameMaker.

On the AI side, I led members through building and shipping real models: a TensorFlow house-price predictor, an Azure Vision image classifier, and an unbeatable Tic-Tac-Toe AI using game-state logic. On the game dev side, I developed frameworks and example projects that teams used to submit to the 2025 DPCDSB board-wide competition, and we came home with 4th and 5th place finishes across the entire district.

• Designed and delivered weekly sessions on ML concepts, coding, and game mechanics for 40+ students.
• Built and maintained a full library of project templates and technical content for both AI and game development tracks.
• Led a team that placed 4th and 5th in a board-wide competition, our school's best-ever result.

Research & Software Development Intern @ FuturIQ Inc.

FuturIQ is an AI startup focused on bringing intelligent systems to local businesses. My role was to actually build those systems. I worked across Python, Unity, and NVIDIA Omniverse to develop a photorealistic, interactive AI digital human with real-time lip sync that simulated genuine human-like conversation, deployed to a real client and measured a 25% increase in average user session duration.

I also engineered a social media chatbot in Python that replaced a lengthy manual content review process entirely with automation. Working directly with small business clients to understand their workflows gave me end-to-end product ownership experience, from requirements gathering through to deployment and feedback.

• Built a 3D AI digital human in Unity using MetaHuman Creator and NVIDIA Omniverse, integrated with a live chatbot API backend.
• Engineered a Python chatbot that automated social media content strategy, saving clients hours of manual work weekly.
• Built the client-facing web interface in HTML/CSS with a beginner-friendly GUI to make the AI tools accessible to non-technical business owners.