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Assessing your cultural and operational fit
AI Engineer with less than a year in Full Stack Development, AI, and Machine Learning
Recent Software Engineering graduate (May 2026) with a strong foundation in Full Stack Development, UI/UX Design, Artificial Intelligence, and Machine Learning. Experienced in building modern web applications using the MERN stack and developing user-centered, scalable software solutions. Developed 'Spacify, A Dedicated Smart Rental Marketplace' as a Final Year Project, where he scraped rental property data, performed data preprocessing and analysis, and trained a Machine Learning model for rental price prediction. Also implemented a crawler that extracts data from Zameen and displays it on Spacify. Possesses strong knowledge of Machine Learning algorithms, data preprocessing, model training, and evaluation through academic coursework and hands-on projects. Passionate about pursuing a career in AI, Machine Learning, Agentic AI, and Retrieval-Augmented Generation (RAG), with a commitment to building intelligent, data-driven applications and continuously learning emerging technologies.
Pak Austria Fachhochschule
Software Engineering
August 1, 2022 – June 30, 2026
Hallmark School And College
Intermediate · Pre-Engineering
June 1, 2020 – May 31, 2022
Techniknest
Python Automation Intern
July 1, 2025 – September 1, 2025
India
Brainex World
Web Development Intern
August 1, 2023 – September 1, 2023
India
SPACIFY - Smart Rental Marketplace
June 5, 2026 – Present
Scraped rental property listings from Zameen.com using Python and Selenium. Trained an XGBoost-based machine learning model to predict rental prices. Developed a full-stack rental marketplace using Next.js and modern web technologies.
Cultural Fit Analysis
The candidate's projects, including a smart rental marketplace and various AI automation agents, demonstrate initiative and a problem-solving mindset. The blend of full-stack development and AI/ML skills suggests adaptability and a willingness to explore different technical domains. However, the experience level is very junior (still pursuing a bachelor's degree), which might not align with a senior AI Engineer role requiring extensive industry experience and leadership. The diversity of projects is good for an entry-level candidate, but the depth of experience in each is limited.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on end-to-end solutions, from data scraping and model training to full-stack deployment. The internship experience, particularly at Techniknest, indicates a capacity for automating workflows and improving efficiency. However, without psychometric or English test scores, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly. The descriptions are clear but lack detail on challenges faced or specific contributions beyond task completion.