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Full Stack Engineer with less than a year in AI & Web Development
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Assessing your cultural and operational fit
As an Associate Full Stack AI Engineer at MyndEdge, I build end-to-end product lifecycles for investor-acquired AI solutions, ensuring a seamless bridge between high-level business strategy and robust AI-first engineering. My expertise includes architecting and deploying scalable, data-driven applications by integrating complex machine learning pipelines (RAG, LLMs, NLP) with high-performance front-end and back-end frameworks. I am also skilled in designing and implementing interactive, feature-rich platforms that leverage generative AI to deliver personalized experiences, real-time feedback loops, and collaborative environments.
Lawrence University - USA
Bachelors · Computer Science
January 1, 2023 – April 1, 2023
FAST NUCES
Bachelors · Computer Science
September 1, 2021 – December 1, 2025
Home Schooling, Faisalabad
A-Levels · Math, Phy, Chem, Comp, Bus
August 1, 2019 – August 1, 2021
MyndEdge
Associate Full Stack AI Engineer
May 1, 2025 – Present
India
INSAF | AI Powered Legal Tech Mobile Application
August 1, 2025 – May 1, 2026
• Deployed a cross-platform iOS/Android legal assistant app using React Native (Expo) + TypeScript, with a Firebase serverless backend handling real-time sync, authentication, and document storage. • Integrated an AI legal guidance engine with end-to-end encrypted document management and native device integrations, serving users with no access to traditional legal counsel.
HouseHoppers | AI Powered Real Estate Investment
January 1, 2025 – July 1, 2025
• Developed a full-stack real estate investment platform with property portfolio management, ROI tracking, and secure financial data visualization using React 19, Express, and PostgreSQL. • Integrated Clerk authentication for multi-provider login, implemented RESTful APIs with user-scoped data protection, and deployed as a responsive web application with dark mode support and cross-device compatibility.
GO | AI Powered Women Health Companion
December 1, 2024 – March 1, 2025
• Developed a full-stack women's health application using TypeScript-first architecture (Next.js 15 + FastAPI), combining secure auth, role-based protected routing, and scalable CRUD/API design across web and AI services. • Built and integrated intelligent healthcare features-such as cycle prediction, AI chatbot, and personalized insights-using a production-oriented stack (LLM/RAG workflow, structured data layer, testing strategy, and deployment-ready engineering practices).
Winner Ignite AI Wrapper (District Level)
Unknown
November 1, 2025 – Present
Winner GDGoC LeetCode Challenge (Google Developer Club)
Google Developer Club
April 1, 2025 – Present
International Collegiate Programming Competition 2024-25 (ICPC)
Unknown
February 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering real estate, legal tech, and women's health, all with an AI focus. This breadth of interest and application demonstrates adaptability and a willingness to tackle varied problem domains. The current role as an 'Associate Full Stack AI Engineer' aligns well with the 'Full Stack Engineer' target role, especially given the increasing demand for AI integration in full-stack development. The involvement in competitive programming and developer clubs suggests a collaborative and community-oriented mindset, which generally contributes positively to cultural fit. However, the candidate's experience level is listed as 0, which might indicate a lack of extensive professional team experience, potentially impacting cultural fit in a senior role without further validation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong ability to work on complex, multi-faceted applications, often involving AI integration. The participation in competitive programming and AI challenges suggests a proactive, problem-solving mindset and a drive for continuous improvement. The experience as a Research Paper Assistant also points to an ability to engage in detailed, analytical work. The psychometric test score of 385/500 suggests a reasonable fit for logical reasoning and work attitude, though specific details on stress handling and team collaboration are not provided.