AI Engineer with 3+ years in Machine Learning, Deep Learning, and Generative AI
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Results-driven Al Engineer specializing in Machine Learning, Deep Learning, and Generative AI with a strong focus on developing scalable AI-powered solutions. Expertise includes building AI agents, voice assistants, NLP-based chatbots, Retrieval-Augmented Generation (RAG) systems, and computer vision applications. Skilled in Python, PyTorch, TensorFlow, and cloud integration, delivering end-to-end AI model deployment and web platform integration. Proven ability to solve real-world problems through innovative and reliable AI systems.
University of Central Punjab
Bachelor of Science · Computer Science
August 1, 2019 – June 30, 2024
Govt. Degree College Model Town
F.Sc · Pre-Engineering
June 1, 2017 – May 31, 2019
Excel Tech LLC
AI Engineer
August 1, 2025 – Present
India
Pangea Global Enterprises
AI Engineer
March 1, 2025 – November 1, 2025
India
Amiiq
Associate Engineer (ML)
October 1, 2024 – March 1, 2025
India
MexaSol
AI/ML Intern
May 1, 2024 – October 1, 2024
India
Ebryx
ML Intern
September 1, 2023 – February 1, 2024
India
Shopify AI Chatbot – 24/7 Customer Support System
June 1, 2025 – November 1, 2025
Designed and deployed an AI-powered chatbot providing round-the-clock customer support with automated FAQ handling and real-time order tracking. Implemented personalized product recommendations based on customer behavior and preferences to enhance user engagement.
AI-Driven Product & Inventory Detection for Retail Stores
March 1, 2025 – November 1, 2025
Engineered YOLOv8-based computer vision models for real-time product detection, low-stock alerts, and empty-shelf recognition. Automated inventory management workflows, improving stock accuracy and enabling efficient restocking processes.
Prediction of PTM Sites of N-Acetyl Threonine Using Neural Networks
January 1, 2024 – May 1, 2024
Developed an advanced neural network model to identify post-translational modification sites in protein sequences. Combined bioinformatics, machine learning, and molecular biology techniques to enhance understanding of protein modification mechanisms.
Cultural Fit Analysis
The candidate's project diversity, ranging from bioinformatics to retail AI solutions and customer support chatbots, indicates a broad interest and adaptability, which are positive indicators for cultural fit. Their experience across multiple companies and roles, including internships and full-time positions, suggests a proactive and growth-oriented mindset. The alignment of their skills and experience with the target AI Engineer role is strong, demonstrating a clear career path in AI.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, problem-solving, quick learning, communication skills, and team collaboration, which are crucial for operational fit in an AI engineering role. Their experience in cross-team collaboration and guiding junior engineers further supports their ability to integrate effectively into a team environment.