AI Engineer with 1+ years in AI/ML & Full-Stack Development
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineering graduate with hands-on experience building Al-powered applications, RAG-based Al assistants, recommendation systems, REST APIs, and data pipelines. Skilled in Python, FastAPI, MERN stack, vector databases, LLM APIs, prompt engineering, data preprocessing, web scraping, and cloud deployment. Strong full-stack background with practical experience turning Al concepts into usable products, including UniVana and Athena.
SZABIST Karachi
BS · Software Engineering
August 1, 2022 – June 30, 2026
Shipment Solutions LLC
Software Engineer
January 1, 2025 – December 1, 2025
India
HexaVibes Solution
Software Engineer Intern
November 1, 2024 – January 1, 2025
India
UniVana - AI-Powered University Recommendation Platform
June 1, 2025 – June 1, 2026
Built a full-stack AI-powered study abroad platform that recommends universities and programs based on CGPA, budget, field of interest, preferred country, intake, and eligibility. Designed weighted recommendation logic to rank options using student profile data and multi-criteria scoring for personalized results. Developed Python scraping and ETL workflows to collect, clean, validate, and standardize university, program, country, and scholarship data from educational sources. Created REST APIs for profile management, search, filtering, shortlisting, comparisons, analytics, and recommendation results using Node.js, Express.js, and MongoDB. Integrated an AI study abroad advisor concept using RAG-style retrieval to support context-aware student guidance and reduce generic responses.
Athena - AI Agent Platform with RAG & MCP Integration
June 1, 2025 – June 1, 2026
Built a document-aware AI assistant using RAG, semantic chunking, vector search, chat history, and source citations for context-aware responses. Developed FastAPI endpoints for authentication, document upload, chat management, retrieval, and AI response generation. Integrating MCP-based tool connectivity to extend Athena beyond document Q&A into an agentic AI assistant capable of external tool interaction.
AI For Everyone
DeepLearning.AI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a university recommendation platform and an AI agent platform, shows a broad interest in applying AI to different domains. The experience in both MERN stack and .NET Core indicates adaptability. The target role of 'AI Engineer' aligns well with the candidate's project focus on RAG, recommendation systems, and AI assistants. However, the professional experience is relatively short, which might limit exposure to diverse team dynamics and larger organizational cultures. The candidate is still pursuing a bachelor's degree, which suggests a learning-oriented mindset, but also implies less real-world corporate experience.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills through debugging and optimization in previous roles. Collaboration with stakeholders and team members is also evident. The project descriptions indicate an ability to take initiative and build complex systems independently. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.