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AI Engineer with less than a year in AI-driven Systems & Scalable Solutions
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Graduating Computer Science student at FAST-NUCES with hands-on experience in building AI-driven systems, scalable software solutions, and real-world development projects. Proven ability to collaborate in team environments, deliver impactful results, and rapidly adapt to emerging technologies.
NUCES(FAST) UNIVERSITY
Bachelor of Computer Science · Computer Science
August 1, 2022 – June 30, 2026
PUNJAB COLLEGE
F.SC
June 1, 2020 – May 31, 2022
NAVEED - E - SAHAR SCHOOL
Matriculation
June 1, 2018 – May 31, 2020
M3 Hive
AI-Engineer
January 1, 2025 – Present
India
M3 Hive
AI-Engineer
January 1, 2025 – December 31, 2025
India
Dev Zone
ML-Engineer
January 1, 2024 – December 31, 2024
India
Silicon Centre
Software Developer
January 1, 2023 – December 31, 2023
India
FINAL YEAR PROJET
January 1, 2026 – June 1, 2026
A crowdfunding platform that reshape the fundraising experience by leveraging blockchain and AI technologies to deliver a fraud-resistant and transparent fundraising platform.
Data Analytics
June 1, 2026 – Present
Machine Learning Specialization
Stanford University
June 1, 2026 – Present
IT Automation with Python
June 1, 2026 – Present
Project Management
June 1, 2026 – Present
Gen AI Productivity
Microsoft & LinkedIn
June 1, 2026 – Present
AI Essentials
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from a blockchain/AI crowdfunding platform to an AI-powered medical scribe and a face detection system, shows a broad interest in applying AI across various domains. The target role of 'AI Engineer' aligns well with their current and past roles, as well as their academic focus and certifications. The breadth of skills listed (Python, AWS, GitHub, MySQL, PyTorch, Scikit-Learn, LLM Integration, Computer Vision) suggests a versatile individual eager to explore different facets of AI engineering. The multiple certifications from reputable institutions like Stanford and Google also indicate a strong drive for continuous learning and self-improvement, which is a positive cultural fit indicator.
Soft Skills & Operational Fit
The candidate's resume highlights an ability to collaborate in team environments and adapt to emerging technologies. The project descriptions suggest a problem-solving mindset and a focus on delivering impactful results. The diverse internship experiences indicate adaptability and a willingness to learn across different technical domains. However, the psychometric test score is 0, which provides no insight into logical reasoning, work attitude, stress handling, or team collaboration, making it difficult to assess these aspects of operational fit.