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AI Engineer with less than a year in Machine Learning & AI Agents
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI/ML Engineer and final-year IT student with hands-on experience building machine learning models, AI agents, RAG systems, and semantic search engines. Proficient in Python, PyTorch, and Transformers with practical exposure to Microsoft Azure AI, Power Platform, and LLM-based pipelines. Passionate about deploying AI solutions that solve real-world business problems.
PNY Training
Python Fullstack Development
January 1, 2023 – January 1, 2023
Punjab University College of Information Technology (PUCIT)
Bachelor of Science in Information Technology
January 1, 2022 – January 1, 2026
Chenab College Jhang
FSc (Pre-Engineering) · Pre-Engineering
January 1, 2020 – January 1, 2022
OZ Digital Consultancy
Software Engineering Intern
November 1, 2025 – April 1, 2026
Lahore, Punjab, Pakistan
Revotics AΙ
AI/ML Intern
August 1, 2025 – October 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
CardioNexus – Cardiac Anomaly Detection via MRI
June 1, 2026 – Present
Developed a deep learning pipeline for segmentation and classification of cardiac anomalies in MRI images using an ensemble of 2D UNet architectures. Applied Transformer-based encoders to improve spatial feature extraction, achieving enhanced segmentation accuracy on medical imaging datasets.
Customer Contracts Query Agent
June 1, 2026 – Present
Built a conversational AI agent enabling customers to query contract expiry dates and resource allocation details via natural language using Azure AI and Dataverse.
Facebook AI Assistant
June 1, 2026 – Present
Engineered a real-time social media AI assistant that fetches Facebook comments and messages and dispatches context-aware AI responses using Google Gemini 1.5.
Semantic Search Engine
June 1, 2026 – Present
Built a PDF-based semantic search system using dense vector embeddings to enable natural language querying over large document collections.
View ProjectImage Searching via Natural Language Queries (RAG)
June 1, 2026 – Present
Developed a multimodal RAG system for retrieving images using natural language queries by embedding images with CLIP/BLIP and storing them in a Qdrant vector database.
Copilot Agent Academy - Recruit
Microsoft / Global AI Community
June 1, 2026 – Present
Machine Learning with Python
IBM / Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong alignment with an AI Engineer role, showcasing a breadth of skills across NLP, Computer Vision, and Generative AI. Their academic and professional projects indicate a proactive and innovative mindset, which would be a good cultural fit for a dynamic AI development team. The focus on deploying AI solutions to solve real-world business problems aligns well with practical, impact-oriented environments.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a results-driven approach and a passion for solving business problems with AI. Their involvement in diverse projects, from medical image analysis to social media AI assistants, suggests adaptability and a proactive learning attitude. The experience with low-code/no-code platforms also indicates an understanding of rapid development and integration within enterprise environments.