Help & Supportcareers@gravityer.com
Fullstack Engineer with 1+ years in MERN Stack & AI Solutions
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.