Available to hire
I am an AI Engineer with hands-on experience working across machine learning, deep learning, NLP, computer vision, and generative AI. I work mainly on understanding problems, training and fine-tuning models, and improving their behavior over time. I have also worked on building AI agents, including domain-specific and task-oriented agents. I am comfortable handling the full AI workflow, from preparing data and training models to testing, deployment, and monitoring, with a strong focus on reliability and practical performance.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Urdu
Advanced
Work Experience
AI Automation Project Lead at Ledan AI
February 1, 2024 - September 30, 2024Led an AI automation project for multiple retail shops, designing and implementing end-to-end data pipelines to clean, normalize, and merge Excel/CSV transactional data across shops; built automation workflows for AI-assisted recommendations to respond to user queries; delivered real-time product suggestions and improved cross-store data consistency.
ML Engineer - LSTM Time Series Modeling at New Zealand Experimental Limited
June 1, 2025 - August 31, 2025Developed an LSTM-based time series model trained on an Excel-based dataset with significant data quality challenges. Implemented two modeling approaches (LSTM deep learning model and a formula-based prediction model) to compare robustness. Performed feature engineering and custom preprocessing to transform messy spreadsheet data into model-ready sequences. Outcomes included two complementary prediction approaches and documented trade-offs. Also built a domain-specific QA pipeline using LLaMA 2 for structured QA.
ML Engineer - AI Production & Pipeline at Helix Capital Corp
November 1, 2025 - December 20, 2025Investigated and resolved production issues in AI/automation pipelines (root-cause analysis, logging, and patching). Identified image outputs caused by TensorRT optimization during cloth masking; analyzed pipeline behavior and diagnosed incompatibility between TensorRT and model masking logic. Outcomes: Removed TensorRT integration and restored the original model; preserved numerical accuracy and ensured model consistency.
Education
Bachelor in Artificial Intelligence at COMSATS University Islamabad, Attock Campus
January 11, 2030 - January 1, 2026Bachelor in Artificial Intelligence at COMSATS University Islamabad, Attock Campus
January 11, 2030 - January 1, 2026Qualifications
Bachelor in Artificial Intelligence
January 11, 2030 - January 1, 2026Industry Experience
Software & Internet, Computers & Electronics, Education, Professional Services, Media & Entertainment, Gaming, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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