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Ahlam Abdullatif

@ahlamabdullatif

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Machine Learning Engineer crafting production LLM pipelines for real-world healthcare impact.

United States

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What I'm looking for

I’m looking to build and deploy production-grade LLM/RAG solutions end-to-end—fast, secure, and measurable—working with strong ML engineering and cross-functional teams to drive real clinical or safety outcomes.

I’m a results-driven Machine Learning Engineer with over 7 years of experience in AI/ML engineering, data preprocessing, LLM training and fine-tuning, and deploying scalable models on large datasets. I focus on turning messy real-world data into reliable, production-ready systems—especially for healthcare AI and safety-focused applications.

Most recently as Lead AI Engineer at Culture Mind LLC, I co-founded and led end-to-end development of a child-safety-focused, LLM-powered chatbot, fine-tuning DeepSeek open-source models on custom datasets and achieving 99% response accuracy. I built data preprocessing pipelines (Pandas, NumPy) that improved model training performance by 25%, and engineered scalable AWS SageMaker training environments that boosted inference speed by 40%. I also implemented secure FastAPI services for real-time inference and RAG-enabled retrieval, and accelerated global deployment by reducing release time from days to hours using CI/CD with Kubernetes.

Previously at Genpact, I designed AI-driven pipelines for agentic workflows and fine-tuned LLMs with PyTorch to reduce latency by 35%. I migrated legacy Python services to Rust, increasing throughput by 60%, and built NLP capabilities that improved chatbot responsiveness by 50%. Earlier, as an AI & SEO Specialist, I used NLP and ML (Pandas, clustering, and ML workflows) to increase organic traffic by 15% and cut manual reporting effort by 40%.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Engineer

Current

Culture Mind LLC

Jul 2025 - Present (11 months)

Co-founded and led end-to-end development of a child-safety LLM-powered chatbot, fine-tuning DeepSeek models and achieving 99% response accuracy. Built data preprocessing and AWS SageMaker training pipelines, improving inference speed by 40% and deployment time from days to hours via Kubernetes CI/CD.

PyTorch AWS Sagemaker fastAPI RAG Pandas NumPy Kubernetes CI CD

AI & Technical Engineer

Genpact

Jun 2023 - Jul 2025 (2 years 1 month)

Designed AI pipelines for real-time rendering and agentic workflows, fine-tuning LLMs for NPC reasoning and reducing latency by 35% using embedding-based long-term memory. Built Python/Rust FastAPI services for LLM inference and RAG while improving chatbot responsiveness by 50% through real-time speech detection and audio preprocessing.

PyTorch Rust fastAPI LLM RAG Embeddings NLP Distributed Training MLOps

AI & SEO Specialist

The Blogsmith

May 2020 - Jun 2023 (3 years 1 month)

Used AI/NLP to preprocess large text datasets and automate cleaning and feature engineering, boosting organic traffic by 15%. Built Python reporting pipelines and ML recommendation systems (K-means, RankBrain) to reduce manual effort by 40% and refine content optimization strategies.

Python Pandas NumPy NLP SEO Analytics Feature Engineering scikit learn Matplotlib Recommendation Systems

Junior/Middle Full-Stack Engineer

201 Creative

Dec 2018 - May 2020 (1 year 5 months)

Built responsive web applications using JavaScript and PHP, integrating APIs for dynamic data handling and SEO optimization via structured data. Implemented backend integrations for preprocessing and storage, collaborating in Agile sprints and using Git for version control to deliver scalable solutions under tight deadlines.