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Mubashara SiddiqueMS
Open to opportunities

Mubashara Siddique

@mubasharasiddique

Machine Learning Engineer focused on deep learning, NLP, and production RAG/LLM systems—building deployable AI pipelines.

Pakistan
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What I'm looking for

I’m looking for a role where I can build and deploy production-grade ML—especially NLP/CV and LLM/RAG systems—with strong engineering standards, mentorship, and real collaboration between research and product.

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

AB

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.

NT

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.

SC

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.

Education

Degrees, certifications, and relevant coursework

National University of Sciences and Technology (NUST) logoNN

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) logoKK

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.

CJ

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.

RK

Rangers Public School Khanpur

Secondary School Certificate (Matriculation), Secondary Education

Grade: 1032 / 1100

Completed Matriculation through the Federal Board with the stated grade.

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