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AI Engineer with less than a year in Full-Stack, AI, and Cloud 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
Detail-oriented Software Engineer with hands-on experience in full-stack development, backend systems, and cloud infrastructure. Skilled in building scalable REST APIs, integrating AI-powered workflows, and deploying production-ready systems with CI/CD pipelines. Passionate about sustainable software and solving complex engineering problems.
FAST - National University of Computer and Emerging Sciences
Bachelor of Software Engineering · Software Engineering
August 1, 2022 – June 30, 2026
Think Finance
Full Stack Developer Intern (Backend-Focused)
August 1, 2025 – October 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Nexium
AI Web Developer Intern
July 1, 2024 – August 1, 2024
Remote
GreenCode AI
June 24, 2026 – Present
Building an AI-powered SaaS platform using a 4-agent architecture (optimizer, compliance, maintainability, energy predictor) to detect energy-inefficient Java methods via static analysis + JMH runtime benchmarking. AI-driven optimizations reduced energy consumption by 29% (120W → 85W), CPU usage by 27% (85% → 62%), memory by 25% (512MB → 384MB), and response time by 29% (450ms → 320ms).
View ProjectFairMedQA
June 24, 2026 – Present
Built a medical QA system with RAG over PubMed + WHO datasets using BioMistral-7B and FAISS vector search, achieving evidence-backed answers with confidence scoring on a React frontend.
View ProjectMindTrack
June 24, 2026 – Present
Shipped an AI-powered mental health platform with mood tracking and AI journaling to production on Vercel via CI/CD; features secure auth and a responsive dashboard serving real users.
AWS Certified Cloud Practitioner
Amazon Web Services
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio (GreenCode AI, FairMedQA, MindTrack) demonstrates a strong interest in applying AI to diverse and impactful domains, including sustainability, healthcare, and mental wellness. This breadth of interest and focus on real-world problem-solving suggests a good cultural fit for an innovative and impact-driven team. The academic background in Software Engineering with relevant courses in AI and Generative AI further supports alignment with an AI-focused role. The candidate's proactive approach to learning and applying new technologies (e.g., BioMistral-7B, FAISS, n8n) indicates a growth mindset.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills, particularly in optimizing performance and automating tasks. The focus on 'sustainable software' and 'complex engineering problems' suggests a proactive and analytical approach. Experience with Agile methodologies indicates an ability to work in structured development environments. The remote internship experience also points to adaptability and self-management.