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AI Engineer with 1+ years in Generative AI & LLMs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI engineer who builds AI-powered applications and chatbots that real users rely on. I develop and integrate LLM-based solutions in Python – working across OpenAI, Anthropic, and Gemini APIs with careful prompt engineering – and design RAG pipelines and AI workflows over vector databases. Comfortable building and serving these systems behind FastAPI, containerizing them with Docker, and deploying to the cloud (AWS). I like understanding the problem before building, and I care about deploying and optimizing AI applications, not just prototyping them. BSAI from FAST NUCES, with a live AI product built from the ground up to show for it.
FAST National University (NUCES)
Bachelor of Science · Artificial Intelligence
August 1, 2022 – June 30, 2026
HashOne Global
Full Stack / AI Developer
July 1, 2025 – June 1, 2026
Karachi, Sindh, Pakistan
Tech Hunt
AI Engineer Intern
June 1, 2024 – August 1, 2024
India
Convey AI – AI interview chatbot platform
June 27, 2026 – Present
A deployed AI agent and chatbot that runs mock interviews on its own – asking questions, reacting to answers, and grading them in Urdu and English. Built end to end and live, with real users practicing on it at conveyai.live.
View ProjectRAG Document Parsing Chatbot
June 27, 2026 – Present
A RAG chatbot that answers questions over long documents – a pipeline that chunks and embeds the text into a FAISS vector database, then retrieves the closest matches so every answer is grounded in the real source. Exposed over a FastAPI REST endpoint for other tools to call.
View ProjectIT Inventory Management System
June 27, 2026 – Present
Internal tool for tracking company IT assets and maintenance schedules. FastAPI REST backend, MySQL database, and a React dashboard that consumes the API as JSON.
Cultural Fit Analysis
The candidate's projects, including a 'Final Year Project' (Convey AI) and personal projects like 'RAG Document Parsing Chatbot' and 'IT Inventory Management System', demonstrate initiative and a diverse interest in applying AI and software development. The experience as a Full Stack / AI Developer and AI Engineer Intern aligns well with the target role of an AI Engineer, showcasing a breadth of skills from backend development to AI model deployment. The academic project 'Convey AI' also indicates an ability to work on user-facing applications and handle real-world usage, which is a positive indicator for cultural fit in a product-focused environment.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive approach to building and deploying AI solutions, indicating a strong operational fit for roles requiring end-to-end development. The emphasis on understanding problems before building and optimizing AI applications suggests a pragmatic and results-oriented mindset. However, without specific psychometric or English test results, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration beyond what is inferred from the resume's structure and content.