Momen Mushtaha

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AI Full Stack Engineer

Gauntlet AI Fellowship

Oct 2025 - Nov 2025 (2 months)

• Developed CollabCanvasAI, a collaborative design tool integrating AI assistance for automated canvas operations, reducing manual design effort by enabling users to generate complex UI layouts (forms, dashboards, navigation) through natural language prompts. Built with Next.js, Supabase real-time subscriptions, and the Vercel AI SDK, supporting multi- user collaboration with sub-second synchronization and comprehensive version control. https://github.com/MomenMushtaha/CollabCanvasAI • Built MessageAI, an iOS messaging app that helps remote teams stay aligned by using AI to summarize conversations, surface commitments, and track decisions automatically. Designed for async-heavy teams who need to catch up quickly without reading every messag

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AI Software Engineer

LAEF, Like An Exponential Function

Oct 2024 - Current (1 year 8 months)

• Built Datalogie, a privacy scanner that audits any website's trackers, cookies, and security posture, assigns a 0-100 privacy score with an invited-guest or gatecrasher verdict, and renders the site as an AI-generated character portrait. Architected a 4-stage pipeline (collect → analyze → prompt → generate) in Python/Flask, integrating OpenAI and Anthropic APIs for character casting and image generation. https://github.com/MomenMushtaha/datalogie • Built BetterThanK&L, a resume-aware Chrome extension that parses a DOCX resume with Claude Opus 4.6 (1M context) and drives a 34-tool browser agent to find and apply to jobs. Generates tailored resumes and cover letters as downloadable .docx files, gates every destructive click behind user appr

AI Software Engineer

Micro1

Dec 2023 - Oct 2024 (11 months)

• Contributed to 5 AI projects, built datasets, ran evals, and handled QA for LLM training. • Improved model reasoning by introducing new languages and frameworks including Python, C, Java, and Go. • Improved class annotation precision using Spring Framework and Project Lombok, and sped up training workflows by optimizing data preprocessing pipelines with Pandas and NumPy.

Automation Software Engineer

Ericsson

Sep 2021 - Jan 2023 (1 year 5 months)

• Wrote automation scripts for recurring weekly tasks in Sweden and Poland, cutting manual work in data aggregation and report generation. • Scripted the full Wiki-to-Confluence migration and built ongoing file update pipelines for business managers in Sweden and Poland using Pandas, keeping documentation consistent and up to date. • Built internal web apps with Flask and ReactJS, with secure auth and clean interfaces that made day-to-day workflows faster for end-users. • Wrote Bash scripts and Selenium automations to migrate legacy data and automate file transfers across internal systems, reducing manual handoffs between teams.

Software Engineer – Research Tools

Carleton University

Oct 2020 - Apr 2021 (7 months)

• Developed visualization tools to surface COVID-19 infection spread projections from an ML simulation model, translating complex epidemiological outputs into clear, interactive dashboards that enabled researchers and stakeholders to make data-driven decisions. The underlying simulation was built in C and C++ on Linux. • Built automated pipelines and dashboards that turned messy datasets into clear insights for non-technical researchers, and users. • Built interfaces that let non-technical staff run their own analysis without needing engineering support.

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