Mubashara Siddique
@mubasharasiddique
Machine Learning Engineer focused on deep learning, NLP, and production RAG/LLM systems—building deployable AI pipelines.
What I'm looking for
I’m an AI/ML engineer specializing in deep learning for computer vision, NLP, and production-grade ML pipelines. I’m currently pursuing an MS in Artificial Intelligence at NUST, with a BS CGPA of 3.97/4.00 and a strong research-driven mindset.
I build end-to-end solutions that combine Retrieval-Augmented Generation (RAG) and LLM integration for real-world applications. My work includes Retrieval systems using LangChain with FAISS/ChromaDB, prompt engineering, and production integration with OpenAI API and HuggingFace models.
I also focus on explainability and robustness in ML. I use SHAP and feature-importance approaches for interpretability, and I address data imbalance using SMOTE/class weighting—applied across projects like IoT intrusion detection, recommendation-related modeling, and medical NLP tasks.
Across internships and academic roles, I’ve deployed ML-powered features (including an NLP classification workflow and an RAG prototype), taught ML fundamentals as a Teaching Assistant, and supported IT operations. I’m motivated by teams that value strong fundamentals, experimentation, and deployment-quality outcomes.
Experience
Work history, roles, and key accomplishments
IT / Operations Intern
Albarka Bank
Jun 2025 - Sep 2025 (3 months)
Supported branch operations including account opening procedures, customer KYC document verification, and maintaining accurate records. Assisted with end-of-day reconciliation and IT desk tasks such as system troubleshooting, printer maintenance, and digitising customer files.
Machine Learning Engineer Intern
NerdWare Tech
Jun 2024 - Aug 2024 (2 months)
Deployed ML-powered features into client web applications. Built and fine-tuned NLP text classification pipelines and developed a RAG prototype using LangChain and FAISS.
IT Intern
Superior Postgraduate College
Jun 2023 - Sep 2023 (3 months)
Provided IT support including hardware troubleshooting, network configuration, and lab software environment maintenance. Automated administrative reporting tasks using Python scripts and supported digital literacy training.
Teaching Assistant
KFUEIT
Conducted lab sessions and mentored students on Python, algorithms, and ML fundamentals.
Education
Degrees, certifications, and relevant coursework
National University of Sciences and Technology (NUST)
Master of Science (Artificial Intelligence), Artificial Intelligence
Currently pursuing an MS in Artificial Intelligence at NUST. Specializes in deep learning for computer vision and NLP, including RAG/LLM integration.
Khwaja Fareed University of Engineering and Information Technology (KFUEIT)
Bachelor of Science (Information Technology), Information Technology
Grade: 3.97 / 4.00 CGPA
Earned a BS in Information Technology from KFUEIT with a CGPA of 3.97/4.00 as of Jan 2025. Built a strong foundation in AI/ML techniques and applied deep learning concepts.
Cadet College Jhang
Higher Secondary School Certificate (FSc), Pre-Engineering
Grade: 932 / 1100
Completed FSc (Pre-Engineering) through the Federal Board with the stated grade.
Rangers Public School Khanpur
Secondary School Certificate (Matriculation), Secondary Education
Grade: 1032 / 1100
Completed Matriculation through the Federal Board with the stated grade.
Availability
Location
Authorized to work in
Job categories
Skills
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