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AI Engineer with 1+ years in AI/ML, Software Engineering & Deep Learning
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Science student with 1.0 years of internship experience in AI/ML and Software Engineering, coupled with a strong academic background. Proficient in Python, C++, Java, and various AI/ML frameworks like TensorFlow and PyTorch. Demonstrated ability to develop and deploy AI-powered solutions, build robust backend services, and create interactive visualizations. Eager to apply analytical and problem-solving skills to contribute to innovative software and AI projects.
FAST - National University of Computer and Emerging Sciences
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2025
O.P.F Girls College
F.Sc · Pre-Engineering with Computer Science
June 1, 2018 – May 31, 2020
O.P.F Girls College
Matriculation · Science
June 1, 2016 – May 31, 2018
Yottabyte
Software Engineering Intern
January 1, 2026 – April 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
IT Solera
AI/ML Intern
June 1, 2024 – September 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
FAST University Islamabad
Lab Demonstrator (Programming Fundamentals - C++)
September 1, 2023 – December 1, 2023
Islamabad, Islamabad Capital Territory, Pakistan
One Stop Degree Issuance System
June 23, 2026 – Present
Developed a secure web system to streamline university degree issuance workflows.
GlaciArc: Glacier Risk Prediction Platform (Final Year Project)
June 23, 2026 – Present
Built an AI platform to analyze glacier movements, vegetation changes, and flood risks from satellite imagery. Used transfer learning with U-Net and multiple backbones for semantic segmentation (87% accuracy). Deployed model inference with Flask backend and Flutter frontend for interactive visualization.
HRMS Assistant Chatbot
June 23, 2026 – Present
Developed an AI-powered HRMS chatbot using a hybrid approach combining intent-based logic and RAG. Built backend services in NestJS and integrated OpenAI APIs for context-aware response generation. Implemented vector-based knowledge retrieval with automated document ingestion and dynamic updates.
Video Frame Prediction
June 23, 2026 – Present
Predicted future frames on the UCF101 dataset using deep temporal models.
Box Office Prediction
June 23, 2026 – Present
Applied XGBoost regression to predict movie earnings from multi-feature datasets.
AWS Academy Graduate - AWS Academy Cloud Foundations
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML through diverse academic and personal projects, including image segmentation, chatbot development, and temporal model prediction. The internship experiences at Yottabyte and IT Solera further solidify this focus. The 'Lab Demonstrator' role shows a willingness to teach and collaborate. The breadth of skills (multiple programming languages, frameworks, and concepts) suggests adaptability and a continuous learning mindset. However, the experience level is still junior, which might require mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate lists analytical thinking, communication, interpersonal skills, problem-solving, and willingness to learn as soft skills. These are crucial for an AI Engineer role, especially in collaborative environments and for tackling complex problems. The project descriptions indicate an ability to work on end-to-end solutions, from model development to deployment, which aligns with operational fit.