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AI Engineer with 2+ years in Full-Stack Development and Agentic AI Pipelines
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Software Engineering student with a strong academic record and practical experience in developing scalable full-stack applications and advanced AI/GenAI solutions. Demonstrated expertise in Django, FastAPI, Next.js, and MongoDB, with a focus on building multi-tenant SaaS platforms and agentic AI-driven companions. Consistently recognized with Dean's List Awards for academic excellence and committed to delivering production-grade projects.
FAST - National University of Computing & Emerging Sciences (NUCES)
Bachelor of Science · Software Engineering
August 1, 2024 – Present
Cooked - AI Culinary Companion
June 1, 2024 – December 31, 2025
Architected a dual-backend AI system using Django (DRF + SimpleJWT) as the primary data hub and FastAPI as a dedicated async AI microservice for LangChain/LangGraph orchestration. Implemented stateful, cyclic meal planning with LangGraph for iterative refinement and validation loops, supporting Google Gemini Pro and xAI Grok. Leveraged structured Pydantic output parsing and tool-calling across smart image recognition and automated macro-nutrient analysis workflows.
Buildora - Multi-Tenant SaaS Platform
June 1, 2024 – December 31, 2024
Engineered a production B2B SaaS platform with granular RBAC (Owner, Admin, Member, Guest), unlimited isolated agency workspaces, and per-subaccount Stripe Connect payment terminals. Built a visual drag-and-drop funnel builder with multi-step checkout flows, Kanban CRM pipeline using @dnd-kit/sortable, revenue analytics dashboards, and UploadThing S3 media library. Implemented automated team invitation using MongoDB $nin exclusion operators and dynamic agency-scoped permission enforcement across all dashboard modules.
Nodus Visual Workflow Automation
January 1, 2024 – December 31, 2024
Developed a SaaS automation platform with a drag-and-drop React Flow canvas supporting 19 custom node types across Trigger, Action, and Condition categories with real-time connection validation. Built a live execution engine processing real HTTP requests via api-call nodes, returning status codes and raw JSON response logs directly inside the visual builder canvas. Implemented NextAuth (Google OAuth + credentials), Stripe subscription billing, Cloudinary uploads, and Zustand state mapping across the full canvas lifecycle.
Cultural Fit Analysis
The candidate's portfolio showcases a strong drive for building complex, production-ready applications, which aligns well with a results-oriented and innovative culture. The personal projects demonstrate initiative and a passion for technology beyond academic requirements. The breadth of technologies used across projects suggests a willingness to learn and adapt, which is valuable for cultural fit in dynamic environments. The focus on AI/GenAI projects directly aligns with the target role of an AI Engineer, indicating a strong interest and potential for growth in this area. The 'Dean's List Award' also suggests a commitment to excellence and a strong work ethic.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving aptitude and an ability to tackle complex architectural challenges. The focus on 'architected' and 'engineered' suggests a proactive and leadership-oriented approach to development. The diversity of projects (AI, SaaS, workflow automation) points to adaptability and a broad interest in different technical domains. However, without direct interview data or psychometric test results, it's difficult to assess specific soft skills like teamwork, communication style, or stress handling.