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AI Engineer with less than a year in Data Science & Machine Learning
Highly skilled AI Engineer pursuing a Bachelor of Science in Artificial Intelligence, specializing in GenAI, Computer Vision, NLP, ML, DL, and Data Science. Proven ability to develop innovative AI-based applications, including 2D/3D floor plan visualization with AR, virtual background generation, and sentiment analysis. Proficient in Python, TensorFlow, PyTorch, and various data manipulation and web scraping libraries, consistently delivering high-quality project outcomes and demonstrating strong academic performance.
FAST - National University of Computer and Emerging Sciences, Islamabad.
Bachelor of Science · Artificial Intelligence
August 1, 2021 – June 30, 2025
Punjab College of Science, Sialkot Punjab
F.Sc · Physics, Chemistry, Mathematics
N/A – May 31, 2021
Classic School System, Sialkot Punjab
O levels · Physics, Chemistry, Computer Science, Mathematics
N/A – May 31, 2018
Punjab Oil Mills Ltd. (POML)
Data Scientist
January 1, 2026 – Present
India
Sirovista
Associate Software Engineer (LLM)
November 1, 2025 – January 1, 2026
Lahore, Punjab, Pakistan
Fast NUCES University
Teaching Assistant of Programming for Business
September 1, 2024 – January 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Fast NUCES University
Lab Demonstrator of Computer Networks
September 1, 2024 – January 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Fast NUCES University
Lab Demonstrator of Database Systems
January 1, 2024 – June 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
Fast NUCES University
TA of Probability & Statistics
August 1, 2023 – January 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
Backendz
Web Developer Internee
June 1, 2023 – August 1, 2023
Islamabad, Islamabad Capital Territory, Pakistan
AI based application for 2D, 3D Floor plans along with AR feature & visualizing different furniture items based on user input and style preferences
June 27, 2026 – Present
An application that merges architectural design, interior design, and AR, letting users create floor plans, 3D models, and visualize furniture in real time through textual commands.
Multimodal Modal MEME Sentimental analysis using text & image with Attention Mechanism
June 27, 2026 – Present
Models that use text + image features with attention mechanism for advanced classification & featuring important words.
AI for Generating Virtual Backgrounds for Video Conferencing
June 27, 2026 – Present
AI-based solution that generates high-quality, context-aware virtual backgrounds for video conferencing.
Signature Segmentation & Classification using CNN
June 27, 2026 – Present
Developed model that uses deep learning to segment and classify signatures for authentication.
Shakespeare's Poem Generation using LSTM
June 27, 2026 – Present
Designed a system that trains an LSTM model to generate poetry in Shakespearean style.
Panorama Image stitching using SIFT
June 27, 2026 – Present
Performs alignment and merges images using key point detection and matching.
Extraction, Automation of tech product details website & Analysis (Data Scraping)
June 27, 2026 – Present
Automates web scraping to collect product information from e-commerce sites.
Urdu Poetry Text Generation & Automated Data Extraction
June 27, 2026 – Present
Extracted poetry datasets from 'Rekhta' website, implemented Uni, Bi, Backward, Bidirectional models for text generation.
Certification of Hackathon Event participant 'AWS Serverless Technology'
Elixir Technologies
June 1, 2026 – Present
Acceptance of my Conference Paper in 12th ICIT'25
Al-Zaytoonah University of Jordan
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from architectural design to poetry generation and sentimental analysis, indicates a broad interest in applying AI to various problems. The academic achievements (Rector's List, Dean's List) and participation in a hackathon suggest a proactive and learning-oriented mindset. The experience as a TA/Lab Demonstrator also shows a willingness to contribute to a learning environment. However, the professional experience is limited in duration and depth, which might require more structured mentorship in a fast-paced industry setting.
Soft Skills & Operational Fit
The candidate lists communication, accountability, collaboration, leadership, teamwork, and interpersonal skills. While these are valuable, the resume does not provide specific examples or contexts for their application in professional settings beyond academic roles. The numerous TA/Lab Demonstrator roles suggest an ability to explain complex topics and work with others, which are positive indicators for operational fit.