Fasiuddin Mohammad
Senior Ai Ml Engineer @Global Atlantic
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WORK HISTORY
Senior Ai Ml Engineer @Global Atlantic
NY, US
Designing and deploying enterprise-grade AI/ML and Generative AI solutions for financial services use cases, including document intelligence, claims processing, and decision automation.Built and deployed LLM-powered document intelligence systems for insurance policy and claims analysis using RAG pipelines and vector search.Developed NLP pipelines for document classification, entity extraction, and automated summarization of financial documents.Designed and implemented scalable ML systems supporting real-time and batch inference across enterprise workflows.Developed REST APIs using FastAPI to serve AI/ML models and enable real-time integration with enterprise applications.Built agentic AI workflows enabling multi-step reasoning, tool execution, and intelligent automation across financial workflows.Implemented end-to-end ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.Optimized model and system performance by identifying bottlenecks, improving latency, and enhancing throughput.Built RAG pipelines integrating Azure OpenAI and Azure AI Search for contextual knowledge retrieval and intelligent insights.Developed SQL-driven data pipelines and ETL workflows to support large-scale ML systems and model training.Deployed containerized AI services using Docker and Kubernetes in cloud-native environments.Implemented monitoring, logging, and evaluation frameworks to ensure reliability, performance, and scalability of production AI systems.Tech Stack: Python, FastAPI, PyTorch, TensorFlow, Azure OpenAI, Azure AI Search, LangChain, LangGraph, RAG, NLP, SQL, Docker, Kubernetes, CI/CD
EDUCATION
JNTUH College of Engineering Hyderabad
Bachelor of Technology - BTech, Computer Science
ABOUT FASIUDDIN MOHAMMAD
Senior AI/ML Engineer with 9+ years of experience designing and deploying scalable machine learning and AI solutions across enterprise environments. My background combines strong foundations in machine learning, data engineering, and distributed systems with expertise in Generative AI.I specialize in building production-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI workflows. I have hands-on experience designing systems that integrate vector search, embeddings, and structured data for intelligent automation and enterprise knowledge discovery.I have developed end-to-end ML systems, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. I have built scalable ML pipelines supporting real-time and batch inference, and implemented MLOps practices to ensure reliability and performance.My expertise includes Python-based AI/ML development, REST API design using FastAPI, and integration of AI systems into enterprise platforms. I have deployed AI applications on Microsoft Azure and AWS using services such as Azure OpenAI, Azure AI Search, and Azure Machine Learning.I also have experience in performance optimization, improving latency and throughput of AI systems. My work includes designing distributed architectures, containerizing applications using Docker, and deploying scalable systems using Kubernetes.I have worked with cross-functional teams to deliver production-ready AI solutions across finance, insurance, healthcare, and retail domains.Core skills:• Generative AI, LLMs, RAG, Agentic AI • Machine Learning, NLP, Deep Learning • Python, FastAPI, REST APIs • Azure AI, AWS • MLOps, CI/CD, Docker, Kubernetes • SQL, ETL, PySpark Open to opportunities in AI/ML Engineering, GenAI, and LLM-based systems.
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