AI Engineer with less than a year in Machine Learning, Computer Vision, NLP, and Full-Stack Developm
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Artificial Intelligence student graduating in August 2026 with hands-on experience in Machine Learning, Computer Vision, Natural Language Processing, and Full-Stack Development. Experienced in building AI-powered applications including facial recognition systems, semantic search engines, and intelligent assistants. Seeking an entry-level AI/ML Engineer or Software Engineer position to develop scalable and impactful solutions.
Shifa Tameer-e-Millat University
Bachelor of Science · Artificial Intelligence
August 1, 2022 – June 30, 2026
CodeAlpha
Full Stack Developer Intern
October 1, 2025 – November 30, 2025
India
Federal Board of Revenue (PM&EC)
Intern
March 1, 2025 – May 31, 2025
Islamabad, Islamabad Capital Territory, Pakistan
AICP
Machine Learning Intern
June 1, 2024 – August 31, 2024
India
Kisan AI Platform
August 1, 2025 – October 31, 2025
Developed an AI-powered platform for Pakistani farmers featuring plant disease detection, Urdu chatbot support, and wheat yield prediction. Applied computer vision and machine learning techniques to improve agricultural decision-making.
Voice Assistant
May 1, 2025 – July 31, 2025
Developed a semantic voice assistant with approximately 92% intent recognition accuracy. Enabled natural language interaction using embedding-based similarity techniques.
Image Forgery Detection System
May 1, 2025 – June 30, 2025
Developed an image tampering detection system achieving approximately 85% accuracy. Applied classical computer vision techniques for robust feature extraction.
Facial Recognition Attendance System
December 1, 2023 – January 31, 2024
Built an automated attendance system achieving approximately 98% face recognition accuracy. Reduced manual attendance effort by nearly 70%.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from agricultural AI to facial recognition and voice assistants, shows a broad interest in applying AI to various domains. Their involvement in multiple university societies and leadership positions suggests a proactive, collaborative, and engaged individual who would likely contribute positively to a team environment. The blend of AI/ML and full-stack development skills indicates adaptability and a willingness to tackle different aspects of a project, which aligns well with dynamic startup or innovative team cultures. The candidate's focus on impactful solutions (e.g., Kisan AI Platform for farmers) also suggests a desire to contribute meaningfully.
Soft Skills & Operational Fit
The candidate's leadership roles in various university societies (President of YPDC Shifa, President of Shifa Virsa Arts & Culture Society, Director HR, Vice President of Shifa Freelancing Society) demonstrate strong leadership, organizational, and teamwork skills. Participation in hackathons and tech competitions also indicates a proactive and competitive spirit. The description of projects and internships suggests an ability to work independently and contribute to team goals. The candidate's involvement in organizing events further highlights operational capabilities.