Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Full-Stack AI Development & Cloud Infrastructure
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven individual with a strong foundation in Artificial Intelligence and Full-Stack Development. Proven ability to develop and deploy scalable AI solutions, optimize inference pipelines, and integrate real-time data into web dashboards. Experienced with AWS, Python, FastAPI, React.js, and various AI/CV tools, eager to apply expertise in dynamic and innovative environments.
FAST NUCES
BS · Artificial Intelligence
N/A – June 30, 2026
Developers HUB Corporations
AI/ML Intern
April 1, 2026 – May 31, 2026
Islamabad, Islamabad Capital Territory, Pakistan
Mindstorm Studios
Intern Game Developer
July 1, 2024 – August 31, 2024
Islamabad, Islamabad Capital Territory, Pakistan
Unilever (Walls)
Inventory Systems Intern
July 1, 2023 – August 31, 2023
Lahore, Punjab, Pakistan
K-Konnect (Full-Stack AI Platform)
June 26, 2026 – Present
Engineered a production-ready RAG pipeline to automate student progress reports with a scalable architecture. Deployed K-Connect end-to-end: managed PostgreSQL on Supabase, Flask API on Render (Gunicorn, root render.yaml, flask db upgrade pre-deploy), and React SPA on Vercel with build-time VITE_API_BASE_URL; repository and releases on GitHub.
Serverless Text-to-Image Microservice
June 26, 2026 – Present
Developed a containerized NLP microservice using Docker, ensuring portability and ease of cloud deployment. Utilized GitHub Actions for automated testing and version tracking of inference pipelines.
YOLO Object Detection for Edge Devices
June 26, 2026 – Present
Designed and quantized a lightweight YOLO-based model (<0.5 MB) for real-time inference on edge systems. Optimized video processing pipelines using OpenCV.
Multi-Agent RAG Debate System
June 26, 2026 – Present
Architected independent RAG pipelines for autonomous agents to investigate knowledge drift and reasoning.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI technologies and full-stack development, aligning well with an innovative and fast-paced AI engineering environment. The diversity of projects (RAG, NLP microservices, edge AI, multi-agent systems) indicates a broad curiosity and willingness to explore different domains within AI. However, the candidate is still pursuing a bachelor's degree, which might indicate a need for mentorship and structured guidance in a professional setting. The psychometric test score could also indicate areas for growth in team dynamics and resilience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and an ability to work on complex, multi-component systems. The experience in game development and inventory management suggests adaptability and a structured approach to development. However, the psychometric test score (314/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which could impact operational fit.