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AI Engineer with 2+ years in AI/ML, Game Development & Systems Architecture
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
2nd semester CS undergraduate at FAST NUCES Islamabad building real AI systems from CSP city simulators and event management platforms to arcade games in raw x86 Assembly. Experienced across the full CS stack: Python AI pipelines, Java/JavaFX desktop apps, C++ game engines with manual memory management, and SQL-backed production systems. GenAI certified. Proven ability to ship complete, working projects under deadline.
FAST National University of Computer & Emerging Sciences (NUCES)
Bachelor of Science · Computer Science
August 1, 2024 – June 30, 2028
Nucleus AI - Intelligent Student Assistant
June 1, 2024 – June 1, 2026
Multi-agent LangGraph pipeline with clarity, research, validation, and synthesis agents integrating Tavily Search and Google Gemini, scoring confidence (0-10), autonomously retrying low-confidence paths, and outputting structured reports with real-time progress tracking and session history.
Galaxy Wars - Arcade Game
June 1, 2024 – June 1, 2026
Built a fully functional arcade game in C++/SFML with manual memory management and no STL – multi-wave enemy choreography with synchronized grid movements driven by vector mathematics; central Game Engine managing all state transitions. Achieved zero memory leaks across all dynamic entity spawning and destruction cycles; hand-crafted scoring, collision detection, and difficulty curve systems entirely from scratch.
Buzz Bomber - Classic Arcade Remake
June 1, 2024 – June 1, 2026
Recreated Intellivision Buzz Bomber in C++/SFML with dynamic enemy AI targeting, custom boss HP, and modified life-loss mechanics – fully playable loop with win/loss conditions and difficulty scaling, built without STL containers.
Mehflix - Event Management Platform
June 1, 2024 – June 1, 2026
Architected a plug-and-play booking engine connecting vendor brands (food, catering, décor) to event records via SQL foreign keys across 5+ venue categories, with a live dynamic resource calculator updating costs as services are added or modified. Enforced DB-level locking to prevent duplicate reservations, built a JavaFX discovery UI with event-type and capacity filters (under 500 ms response), and implemented 6 GoF patterns - Factory, Adapter, Facade, Strategy, Observer, Singleton.
Sonic Super Heroes - 2D Platformer
June 1, 2024 – June 1, 2026
Engineered a multi-level 2D platformer from first principles in C++/SFML – gravity physics, collision handling, health system, collectibles, and a fully scripted boss fight with no physics engines or game frameworks used. Designed distinct level layouts with progressively increasing difficulty; managed player state, enemy AI, and level transitions through a custom game loop with frame-by-frame rendering.
CityMind - Urban Intelligence System
June 1, 2024 – June 1, 2026
Modeled a city as a shared grid-based graph where five AI modules (CSP, Kruskal's MST, A*, heuristic search, K-Means/KNN) operate on one source of truth – road blockages and crime-risk multipliers propagate instantly across all interconnected systems. Applied CSP with minimum-conflict resolution for zoning layout, MST with dual-path guarantee for critical facilities, real-time A* rerouting during flood events, and a KNN crime classifier feeding risk weights back into routing decisions.
Super Mario - Assembly Platformer
June 1, 2024 – June 1, 2026
Developed a Mario-style game entirely in MASM x86 Assembly – gravity mechanics, multi-surface collision, and horizontally scrolling backgrounds using memory-mapped rendering with no high-level abstractions. Managed all player input, sprite positioning, and game state through CPU register manipulation; optimized per-frame rendering via Irvine32 to minimize CPU cycles per draw call.
Generative AI with Transformers Architecture
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of interests, from advanced AI systems to low-level game development. This breadth of technical exploration suggests a curious and adaptable individual. The involvement in various university activities (Media Team, Digital Arts Team, Parliamentary Affairs) indicates a willingness to engage beyond purely technical tasks and potentially contribute to a broader team culture. The focus on building systems from first principles and tackling complex challenges aligns with a culture that values innovation and deep technical understanding. However, all projects are academic, so real-world collaboration and professional environment fit are yet to be proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving aptitude and an ability to deliver complex systems. The academic projects, particularly those involving multi-agent systems and urban intelligence, suggest an ability to work on challenging, interdisciplinary problems. The mention of 'proven ability to ship complete, working projects under deadline' in the summary, if validated, points to good operational fit. However, without specific work experience or detailed descriptions of team collaboration in projects, it's difficult to fully assess soft skills like teamwork, leadership, or conflict resolution.