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AI/ML Engineer with less than a year in Machine Learning & Full-Stack Development
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 involvement in multiple university societies, including leadership positions, suggests a strong ability to collaborate and contribute to a team environment. Their diverse project portfolio, ranging from agricultural AI to voice assistants and image processing, indicates a broad interest in applying AI to various domains, which aligns well with innovative and dynamic work cultures. The full-stack development experience also shows a willingness to engage with different aspects of software development beyond core AI, demonstrating versatility. However, the candidate is still a student with limited professional experience, which might require mentorship in a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through various university society roles. Their project descriptions are clear and highlight quantifiable achievements, suggesting good communication skills. The diversity of projects and internships indicates adaptability and a proactive approach to learning and applying technical skills. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is limited.