AI Engineer with 1+ years in Computer Vision, NLP, and Generative AI Systems
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer focused on Computer Vision, NLP, and Generative AI systems. Experienced in building real-time vision pipelines, LLM-based applications, and predictive ML models with emphasis on optimization, scalability, and deployment efficiency.
COMSATS University Islamabad
MS in Artificial Intelligence · Artificial Intelligence
August 1, 2025 – Present
University of Education Lahore
BS in Information Technology · Information Technology
August 1, 2020 – June 30, 2024
COMSATS University Islamabad
Graduate AI Researcher (MS Artificial Intelligence)
January 1, 2025 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Computer Vision Systems (Industrial AI + Low-Light Detection)
June 5, 2026 – Present
• Built YOLO-based real-time object detection and tracking system for industrial inspection • Developed low-light detection pipeline improving robustness under poor illumination conditions
View ProjectLLM & NLP Systems (GenAI Applications)
June 5, 2026 – Present
• Fine-tuned transformer-based LLM for medical question answering improving domain accuracy • Built retrieval-augmented generation (RAG) chatbot for customer support automation • Improved response reliability via retrieval-aware prompting and hallucination reduction strategies
Predictive & Graph-Based AI Systems
June 5, 2026 – Present
• Developed ML-based telecom network outage prediction system for failure forecasting • Implemented Neural Graph Network for relational representation learning • Applied unsupervised reinforcement learning for visual feature extraction without labeled data
Cultural Fit Analysis
The candidate's project diversity, covering computer vision, NLP/LLMs, and predictive/graph-based AI, indicates a broad interest and adaptability, which can contribute positively to cultural fit. The academic research background suggests a proactive learning attitude. However, the experience is primarily academic/research-focused, and the resume does not provide insights into collaboration styles or experience in diverse team environments, which are crucial for cultural fit in many organizations.
Soft Skills & Operational Fit
The resume highlights strong technical project execution and research capabilities. However, there is insufficient data to assess soft skills such as teamwork, leadership, problem-solving under pressure, or communication in a collaborative setting. The operational fit is strong from a technical perspective, but aspects like adaptability and initiative cannot be fully evaluated without further interaction.