Fullstack Engineer with 1+ years in MERN Stack & AI Solutions
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As an Associate Full Stack AI Engineer at MyndEdge, I am responsible for building end-to-end product lifecycles for investor-acquired AI solutions, bridging high-level business strategy with robust, AI-first engineering. I specialize in architecting and deploying scalable, data-driven applications by integrating complex machine learning pipelines, including RAG, LLMs, and NLP, with high-performance front-end and back-end frameworks. My work also involves designing and implementing interactive, feature-rich platforms that leverage generative AI to provide personalized experiences, real-time feedback loops, and collaborative environments.
Lawrence University - USA
Bachelors in Computer Science · Computer Science
August 1, 2023 – June 30, 2023
FAST NUCES
Bachelors in Computer Science · Computer Science
August 1, 2021 – June 30, 2025
Home Schooling, Faisalabad
A-Levels · Math, Phy, Chem, Comp, Bus
June 1, 2019 – May 31, 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.
View ProjectGO | 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
A Novel Approach of Skin Cancer Detection using Convolutional Neural Networks and Transfer Learning
Unknown
June 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an innovative, tech-driven environment, particularly one focused on AI and full-stack development. Their personal projects showcase initiative, a passion for building impactful solutions (legal tech, health tech, real estate), and a proactive approach to learning and applying cutting-edge technologies. Participation in programming competitions and AI challenges further highlights a competitive spirit and a drive for continuous improvement. The breadth of technologies used across projects suggests adaptability and a willingness to explore different stacks, which is valuable in dynamic team settings. The current role as an 'Associate Full Stack AI Engineer' aligns well with the target role and indicates a career trajectory focused on this domain.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end product lifecycles, suggesting good project management and execution skills. The focus on AI-first engineering and integrating complex ML pipelines points to strong problem-solving and innovative thinking. The descriptions also imply an understanding of secure authentication, role-based access, and scalable API design, which are crucial for operational fit in a senior role. However, without direct behavioral assessment, specific soft skills like teamwork, leadership, or conflict resolution cannot be definitively evaluated.