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Hamza Sajjad

@hamzasajjad1

AI/ML Engineer building agentic AI and RAG systems, including a medical assistant with sub-2s responses and 92%+ retrieval relevance.

Pakistan

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What I'm looking for

I am looking for a remote opportunity as a Full Stack Developer, AI Engineer, or Software Engineer where I can work on real-world projects, build modern web applications and AI-powered solutions, and grow professionally. I value teamwork, meaningful challenges, and opportunities to learn, contribute, and take ownership of my work.

I built a multi-agent medical assistant using LangGraph, with a hybrid RAG pipeline, vision and voice capabilities, and a Next.js/TypeScript frontend. Deployed on AWS EC2, it achieved sub-2s responses and 92%+ retrieval relevance.

At AFT / Digitt++, I built an XGBoost ensemble for fintech fraud detection on transaction records, improving fraud recall by 9%. I also created automated dashboards that reduced manual reporting effort by 40%.

My EEG-guided digital brain twin project combined EEG features with drug embeddings to simulate neural responses, achieving a 0.98 ROC-AUC and cross-site generalization. I’m an Artificial Intelligence graduate and a National Finalist in the Huawei ICT Competition.

Experience

Work history, roles, and key accomplishments

Data Analytics & AI Intern

AFT / Digitt++

Jul 2025 - Aug 2025 (1 month)

Built an XGBoost ensemble for fintech fraud detection on 100K+ transaction records using SMOTE and SHAP-based feature selection, achieving a 9% uplift in fraud recall. Engineered 5+ automated dashboards, reducing manual reporting effort by 40%.

XGBoost SMOTE SHAP Pandas Matplotlib SeaBorn Fraud Detection Feature Engineering

Machine Learning Intern

Arch Technologies

May 2025 - Jun 2025 (1 month)

Built Random Forest and gradient boosting classifiers for business analytics on imbalanced datasets, using stratified cross-validation and L2 regularization.

Random Forest Gradient Boosting scikit learn Imbalanced Data Cross Validation L2 Regularization

AI & ML Engineering Intern

DevelopersHub Corporation

Dec 2024 - Feb 2025 (2 months)

Built machine learning pipelines for classification, regression, and clustering using Scikit-learn and PyTorch, earning Best Performance Award for the internship cohort.

scikit learn PyTorch Classification regression Clustering Machine Learning Pipelines