Abdullah Baloch

AI Engineer with 3+ years of experience in medical imaging, computer vision, and applied GenAI. Worked on AI systems for mammography, chest X-ray, CT/CTA, video analytics, RGB-IR drone detection, RAG, and real-time voice/avatar applications. Contributed to model training, evaluation, and technical validation for FDA 510(k) review responses for MammoSightAI (K252954) and CXRDetectAI (K253751).

Independent AI Engineer at Self-employed (2026-05 – Present)

• Implement and evaluate AI and computer vision workflows for real-time avatar systems, virtual haircut generation, multimodal RGB-IR drone detection, and RAG applications.
• Integrate and test real-time AI components using FastAPI, WebSockets, ChromaDB, Gemini Live, OpenAI APIs, and streaming audio.
• Evaluate and refine models, retrieval settings, and real-time AI integrations through iterative testing based on project requirements.

AI Engineer at SaveLife.AI (2024-09 – 2026-04)

• Trained, fine-tuned, and evaluated models for mammography, chest X-ray, CT/CTA, and 3D medical imaging research.
• Implemented preprocessing, inference, and validation workflows and worked with clinical and compliance teams on case-level error analysis and FDA 510(k) technical review requirements.
• Fine-tuned and evaluated multi-label chest X-ray models, including CXR-18, and explored Grad-CAM-based explainability for thoracic findings.

Research Assistant at TDA Lab, FAST University (2022-07 – 2023-08)

• Prepared STOIC2021 CT data using SimpleITK and lung segmentation, then applied PCA and XGBoost to features produced by the TDA research workflow.
• Contributed classification experiments using XGBoost, Random Forest, KNN, and SVM to a persistent-homology study of acute lymphoblastic leukemia, and supported research environment setup.

AI Intern at NCAI, National Center of Artificial Intelligence (2021-04 – 2021-06)

• Implemented the Python/Flask backend and integrated model inference for a medical-imaging website supporting brain-tumor segmentation and chest X-ray classification, including image upload, preprocessing, inference, and result display.

M.S. in Data Science – SZABIST University, Islamabad (2020 – 2024)

Master's in Computer Science (MCS) in Computer Science – Superior College Lahore (2018 – 2020)

Associate Degree in Computer Science – University of Central Punjab (2016 – 2018)