AI Engineer with 2+ years in Full-Stack Development and Agentic AI Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
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.