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Hamza Sajjad

@hamzasajjad

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AI/ML engineer focused on LLM systems, RAG, and agentic AI—building production deployments and multimodal insights.

Pakistan

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What I'm looking for

I’m looking for an AI/ML engineering role focused on LLM deployment and agentic systems—where I can build RAG and multi-agent pipelines, ship reliable APIs, and optimize cost/performance on production infrastructure.

I’m a final-year AI student with production experience in LLM systems, RAG pipelines, and multimodal deep learning. I’ve built and deployed multi-agent AI systems with strong retrieval performance and end-to-end infrastructure on AWS EC2, while also driving research-grade work like an EEG-guided Alzheimer’s drug simulation validated on multiple external datasets.

I’m especially motivated by practical deployment: cutting inference cost with local LLM serving, delivering sub-2s assistant response times, and wrapping models in reliable APIs. I bring a strong engineering toolkit across Python, PyTorch, FastAPI, Docker, and modern LLM stacks (LangChain/LangGraph, HuggingFace, and vector search) to turn research into usable systems.

Experience

Work history, roles, and key accomplishments

Data Analytics & AI Intern

AFT / Digitt++

Jul 2025 - Aug 2025 (1 month)

Analyzed transactional datasets (100K+ records) to extract fintech behavioral insights that informed product decisions across 3 feature updates. Improved fraud detection by 9% in recall using feature engineering and ensemble modeling, and built 5+ automated Python dashboards to cut manual reporting effort by 40%.

Python Pandas Matplotlib SeaBorn Feature Engineering Credit Scoring Fraud Detection SQL Data Visualization

Machine Learning Intern

Arch Technologies

Jun 2025 - Aug 2025 (2 months)

Developed classification models for business analytics with Python and scikit-learn, achieving F1 scores of 0.88+ through feature engineering and hyperparameter tuning. Increased robustness on imbalanced datasets using SMOTE, stratified cross-validation, and L2 regularization.

Python scikit learn Classification Feature Engineering Hyperparameter Tuning SMOTE Cross Validation L2 Regularization Model Evaluation

AI & ML Engineering Intern

DevelopersHub Corporation

Dec 2024 - Feb 2025 (2 months)

Built end-to-end ML pipelines for classification, regression, and clustering using scikit-learn and PyTorch. Earned the Best Performance Award for the internship cohort for delivering high-quality pipeline results.