AI Engineer with less than a year in machine learning, RAG pipelines, and front-end development.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate from FAST University with hands-on experience in AI/ML, RAG pipelines, and front-end development. Passionate about building intelligent, data-driven applications - from training deep learning models to deploying full-stack AI solutions. Seeking a full-time role where I can apply skills in machine learning, retrieval-augmented generation, and React-based interfaces to solve real-world problems.
FAST National University of Computer and Emerging Sciences, Karachi
BS Computer Science · Computer Science
August 1, 2022 – June 30, 2026
Alkaram Textile Mill
Business Intelligence & Database Intern
June 1, 2025 – July 1, 2025
India
Mushroom Classification & IoT-Based Cultivation System
January 1, 2025 – December 31, 2025
Trained EfficientNet-B3 achieving 85% accuracy for poisonous/non-poisonous classification with edible sub-category labeling. Built a cross-platform mobile app displaying classification results, pricing info, and species-specific recipes. Engineered an IoT system monitoring temperature, humidity, and CO2 levels with a real-time sensor dashboard.
Electronic Voting Machine (EVM)
January 1, 2023 – December 31, 2023
Developed a secure voting system with user authentication, dynamic candidate listings, and vote integrity enforcement. Guaranteed data consistency through database constraints, session handling, and transaction management.
Python for Data Science, AI & Development
Coursera
June 1, 2026 – Present
Data Analytics using Excel
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a practical application of AI/ML and IoT concepts. The internship in Business Intelligence shows adaptability and a willingness to learn diverse tools. The objective statement aligns with the target role of an AI Engineer, indicating a clear career path. The breadth of skills from ML to web development suggests a versatile individual who can contribute to various aspects of a project.
Soft Skills & Operational Fit
The candidate lists Team Collaboration, Problem Solving, Communication, and Self-driven Learning as soft skills. The project descriptions suggest an ability to work on multi-faceted systems (Mushroom Classification & IoT) and ensure data integrity (EVM). The internship indicates collaboration with cross-functional teams. These align with operational needs for an AI Engineer role.