← Back to cohort

Ahmad Jan

NUST · 2026 · 410585
Email
ajan.bscs22seecs@seecs.edu.pk
Phone
923003729020
LinkedIn
https://www.linkedin.com/in/ahmadjan223
GitHub

Academic

Program
CGPA
2.62
Year
2026
Education
Computer Science SEECS , Islamabad , 3.7 (2026)
Address
MUSLIM COLONY STREET#6 BLOCK C , Sadiqabad , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE Graduating Computer Science student at NUST and currently working as an AI Engineer at Markaz Technologies, with hands-on experience in building and deploying AI-driven and full-stack solutions. Strong background in deep learning, computer vision, and scalable web/mobile application development, with proven work on production systems and research-oriented projects. Actively involved in developing Medlingo, an LLM-powered clinical decision support system, as a Final Year Project. Complemented by leadership experience in AIESEC and university societies, demonstrating strong teamwork, communication, and execution skills. Passionate about applied AI, intelligent systems, and real-world impact through technology. EDUCATION Computer Science SEECS , Islamabad , 3.7 (2026) INTERNSHIP EXPERIENCE Markaz Technologies 22-Dec-2025 - 29-Jan-2026 AI-Engineer Working on applied AI solutions within a production environment, contributing to the development and integration of intelligent systems. Involved in designing, testing, and optimizing AI-driven features aligned with real-world business use cases. Collaborating with cross-functional teams to deploy scalable and reliable AI components in live products. Dense Fusion 03-Jun-2024 - 03-Jan-2025 Web Developer Developed a full-stack web application using React and Node.js to monitor and analyze crop health. Integrated Sentinel Hub APIs to visualize NDVI maps and geospatial data for agricultural insights. Built interactive dashboards for field mapping, data visualization, and user interaction. Implemented secure backend services with Google authentication and GeoTIFF image processing. Deployed and maintained the application on Vercel, ensuring scalability and uptime. Sines Computer Vision Lab 03-Jun-2024 - 28-Jul-2024 Computer Vision Intern Contributed to real-world computer vision projects focused on object detection and recognition. Prepared, annotated, and managed datasets using Roboflow to improve training efficiency. Implemented and fine-tuned YOLO-based models to enhance detection accuracy. Assisted in evaluating model performance and iterating on improvements. SaleTale 04-Aug-2025 - 07-Dec-2025 Full Stack Development (Personal Project for a company) Built a sales tracking system serving 300+ mobile users using React Native and RESTful APIs. Designed and developed a role-based admin dashboard for analytics and user management. Implemented backend services with Node.js, JWT authentication, and MongoDB aggregation pipelines. Deployed and managed infrastructure on AWS EC2 with HTTPS (Nginx) and PM2 for process reliability. Collaborated on UI/UX design using Figma to ensure a clean and intuitive user experience. Freelance Platforms 06-Jan-2020 - 29-Jan-2026 Freelance Graphics Designer Designed logos, brand mockups, and digital assets for 15+ clients across various industries. Delivered end-to-end creative solutions while managing client communication and revisions. Maintained high client satisfaction through

AI enrichment

Graduating Computer Science student at NUST and currently working as an AI Engineer at Markaz Technologies, with hands-on experience in building and deploying AI-driven and full-stack solutions. Strong background in deep learning, computer vision, and scalable web/mobile application development, with proven work on production systems and research-oriented projects. Actively involved in developing Medlingo, an LLM-powered clinical decision support system, as a Final Year Project. Complemented by leadership experience in AIESEC and university societies, demonstrating strong teamwork, communication, and execution skills. Passionate about applied AI, intelligent systems, and real-world impact through technology.
Status: ai_done
Provenance
Source file:
Created: 1777448792