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Full-Stack AI Engineer building scalable web applications and AI-powered products.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-Stack AI Engineer building scalable web applications, backend systems, and AI-powered products using modern JavaScript, cloud technologies, and production-ready architectures.
FAST NUCES
BS · Computer Science
August 1, 2022 – June 30, 2026
FAST NUCES
Lab Demonstrator
January 1, 2026 – Present
Islamabad, Islamabad Capital Territory, Pakistan
FasalGuard - AI Precision Agriculture
January 1, 2026 – June 1, 2026
Built MERN platform integrating climate and satellite data to monitor crop health and predict yield risks Developed secure REST APIs with JWT authentication and analytics dashboards
Cloud-Native MLOps Monitoring System
January 1, 2026 – June 1, 2026
Developed end-to-end MLOps workflow with automated retraining, monitoring dashboards, and Slack alerting Implemented CI/CD pipelines, AWS deployment, Dockerized APIs, and schema/drift detection systems
PolySafe - Drug Interaction Safety Platform
January 1, 2026 – June 1, 2026
Built AI-powered healthcare platform detecting dangerous drug interactions using NIH and FDA APIs Optimized backend performance with parallel processing, caching, and OCR-based prescription extraction
AI-Powered Event Feedback System
January 1, 2026 – June 1, 2026
Built speech-to-text feedback platform using LLM-based analysis for structured event insights Developed authenticated backend APIs for scalable feedback processing workflows
View ProjectDev Weekends Fellowship
Dev Weekends Fellowship
January 1, 2026 – Present
Dean's Honor List
FAST NUCES
January 1, 2026 – Present
Awarded scholarship with no tuition fee at college level
FAST NUCES
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to diverse domains like agriculture, healthcare, and event management, indicating adaptability and a broad perspective. The Dev Weekends Fellowship and Dean's Honor List suggest a drive for continuous learning and excellence. The focus on full-stack AI engineering aligns well with roles requiring end-to-end product development. However, the lack of non-academic or team-based project experience makes it difficult to fully assess collaboration and cultural integration.
Soft Skills & Operational Fit
The candidate's role as a Lab Demonstrator suggests good communication and mentoring skills, which are valuable for team collaboration and knowledge sharing. The academic projects indicate a proactive and problem-solving attitude. However, with limited professional experience, the operational fit in a fast-paced industry environment needs further validation.