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AI Engineer with 2+ years in GenAI, RAG pipelines & Computer Vision.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Associate Engineer with hands-on experience in GenAI, RAG pipelines, Agentic Workflows, and Computer Vision. Trained under industry practitioners and currently building production-ready AI systems. Seeking to contribute to AI teams solving real-world problems.
NCBA&E DHA Campus 8
Bachelor's in ITM · ITM
August 1, 2025 – June 30, 2027
Riphah International University
ADP Computer Science · Computer Science
August 1, 2023 – June 30, 2025
AI/ML Projects & Research Experience
AI Associate Engineer | ML | GenAI | Agentic Workflows
August 1, 2023 – Present
India
RAG-based Document Assistant
June 24, 2026 – Present
Built a retrieval-augmented chatbot that answers questions over custom PDFs with 85%+ accuracy.
Agentic Workflow Automation
June 24, 2026 – Present
Designed a multi-agent pipeline that automates.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI technologies (GenAI, RAG, Agentic Workflows, Computer Vision), which aligns well with an innovative AI team culture. The breadth of skills listed (LangChain, PyTorch, YOLO, FastAPI, OpenCV) indicates a willingness to explore and apply diverse tools. However, the low psychometric test score might suggest areas for improvement in team collaboration and adaptability, which are important for cultural integration.
Soft Skills & Operational Fit
The psychometric test score is low (196/500), which may indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. The English test score (48/100) suggests potential challenges in communication clarity and professional language usage, which are critical for operational fit in a professional environment.