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AI Engineer with less than a year in Full Stack Development & AI Applications
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-First Full Stack Engineer experienced in building production-ready AI applications using Next.js, FastAPI, PostgreSQL, and modern LLM frameworks. Skilled in RAG pipelines, agentic workflows, and multi-agent systems with LangChain and LangGraph, integrating OpenAI, Vertex AI, Bedrock, and open-source models. Proficient with Docker, Linux, CI/CD, and AWS-based deployments. Passionate about owning end-to-end development and delivering scalable AI solutions.
FAST-NUCES
Bachelor of Science · Computer Science
N/A – Present
Blunder Bot Technologies
AI Full Stack Engineer
June 1, 2025 – August 31, 2025
India
Codistan Ventures
MERN Engineer
May 1, 2024 – August 31, 2024
Islamabad, Islamabad Capital Territory, Pakistan
Multimodal PDF RAG
June 29, 2026 – Present
Built and evaluated a full Retrieval-Augmented Generation (RAG) benchmarking system comparing RAG Fusion, HyDE, CRAG, and GraphRAG on a real-world CRAG dataset. Designed and implemented end-to-end pipelines covering data ingestion, embedding-based indexing, retrieval, LLM-powered generation, and automated evaluation to ensure fair and reproducible comparisons across methods. Developed a Flask backend with a React (Vite) frontend to demonstrate retrieval results interactively. Delivered a modular and reusable evaluation framework with configurable pipelines and metrics, enabling systematic analysis of retrieval and generation performance for model selection and research insights.
View ProjectAI Video Generation System
June 29, 2026 – Present
Created animated videos typically requires separate tools for story writing, image generation, voice synthesis, scene composition, and video editing. This project automated the entire creative workflow from a single natural-language prompt, producing complete animated videos with no manual intervention.
View ProjectCultural Fit Analysis
The candidate's project diversity, including a RAG benchmarking system and an AI video generation system, shows initiative and a broad interest in AI applications. The internship roles as 'AI Full Stack Engineer' and 'MERN Engineer' align well with the target role of 'AI Engineer', demonstrating a practical application of skills. The educational background in Computer Science with relevant AI coursework further supports a good cultural fit for an AI-focused role. However, the experience is primarily internship-level, which might indicate a need for mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to design and implement complex systems, suggesting strong problem-solving and architectural thinking. The internship experiences highlight collaboration and participation in the full software development lifecycle. However, without specific psychometric or English test results, a detailed assessment of soft skills, work attitude, stress handling, and team collaboration cannot be fully provided.