Open to opportunities

Muhammad Aitessam Ahmed

@muhammadaitessamahme

Message

Senior AI/ML Engineer building production healthcare AI with LLMs and RAG.

Pakistan

Message

What I'm looking for

I’m looking to build and deploy production AI—especially LLM/RAG and healthcare-grade automation—while owning end-to-end delivery (pipelines, APIs, MLOps, and cloud). I want teams that value reliability, compliance, and measurable impact.

I’m a Senior AI/ML Engineer with 4+ years of experience designing and deploying production-grade AI systems across healthcare, computer vision, and autonomous systems. I specialize in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and MLOps, with a proven ability to cut manual effort by 40–70% through AI automation.

In healthcare, I’ve built end-to-end Generative AI pipelines that ingest unstructured medical documents, run OCR and LLM-based extraction, and produce FHIR-compliant structured resources—reducing manual data entry by 60–70%. I also developed HIPAA-compliant clinical AI assistants using prompt engineering and RAG to support contextual Q&A and report interpretation for both doctors and patients.

I thrive on turning raw data into reliable, deployable systems. From automating clinical workflows like speech-to-text SOAP notes (improving documentation efficiency by ~50%) to shipping real-time deep learning inference that reduced radiology review effort by ~40%, I focus on scalable architectures—FastAPI REST services, Dockerized deployment, GPU inference, and cloud rollouts on AWS and Azure.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Askari Technologies

Aug 2025 - Present (10 months)

Designed and deployed end-to-end generative AI pipelines to ingest unstructured medical documents, perform OCR/LLM extraction, and generate FHIR-compliant structured resources, reducing manual data entry by 60–70%. Built a HIPAA-compliant AI medical assistant using prompt engineering and RAG, and developed clinical NLP workflows to auto-generate SOAP notes and summaries (~50% efficiency improvemen

Generative AI LLM Retrieval Augmented Generation (RAG)FHIR HIPAA compliance Prompt Engineering Speech to Text AWS Azure

Machine Learning Engineer

Tensor Labs

Nov 2024 - Jul 2025 (8 months)

Built a lung nodule classification and automated clinical reporting system using deep learning and LLMs, deploying real-time inference that reduced radiology review effort by ~40%. Developed production AI services and REST APIs (FastAPI) with containerized GPU deployment, and delivered LLM/multimodal RAG applications and image-automation workflows using Google Vision API and Vertex AI.

GoogleVision API Deep Learning Image Processing LLM fastAPI REST APIs Docker GPU Inference Google Vision API Vertex AI

AI Research Engineer

Center of Excellence – Artificial Intelligence

May 2022 - Aug 2024 (2 years 3 months)

Led an LSTM-based fault detection project from data analysis through model development and validation, improving operational reliability by 25%. Built ML workflows for telemetry and simulation data for autonomous systems, and prototyped/refined deep learning models and analysis pipelines to accelerate experimentation for flight performance research.

Fault Detection Python Deep Learning Model Validation Experimentation Pipelines

AI Engineer (Drones)

SKYRONE Technologies

Sep 2021 - Apr 2022 (7 months)

Engineered a deep learning human-detection model for autonomous security drones, delivering an end-to-end solution from R&D through on-device inference and field deployment. Led an AI-powered search-and-rescue swarm UAV initiative, building a full sensor-to-detection pipeline and developing optimized multi-UAV path-planning logic for coordination.

Computer Vision Deep Learning On Device Inference Real Time Human Detection Python