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saba Omer

@sabaomer

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Senior AI/ML engineer specializing in scalable LLM, GenAI, NLP and production ML systems.

United States

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What I'm looking for

I seek roles building production-scale LLM/GenAI systems with end-to-end ownership, collaborative product teams, strong MLOps, and opportunities to impact operations and forecasting.

I am a Senior AI/ML Engineer with six years of experience designing and deploying production-grade AI systems across logistics, retail, telecom, and supply chain domains. I focus on Large Language Models, Generative AI, NLP, RAG/agentic architectures, and predictive analytics to deliver measurable business impact.

I have hands-on expertise with Azure OpenAI, LangChain/LangGraph, vector databases (FAISS, Pinecone, Milvus, ChromaDB, PGVector), and MLOps practices including MLflow, CI/CD, Docker, and Kubernetes (AKS). I have built RAG pipelines, fine-tuned transformer models using LoRA/PEFT, developed NLP pipelines, and deployed FastAPI microservices for real-time AI systems.

I collaborate with cross-functional stakeholders to translate business requirements into scalable production solutions, own projects end-to-end from ideation through monitoring, and have applied forecasting, anomaly detection, and recommendation systems to drive operational improvements.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

TekHQs Inc.

Jan 2022 - Present (4 years 5 months)

Designed and deployed LLM-powered applications and agentic workflows, built RAG pipelines that reduced hallucinations, and implemented predictive analytics and MLOps practices to deliver production-grade AI solutions across enterprise clients.

Azure OpenAI Faiss Pinecone PyTorch fastAPI Docker Kubernetes MLFlow

AI/ML Engineer

LoadStop / Meijer (client projects)

Jan 2020 - Jan 2022 (2 years)

Built real-time conversational AI systems and RAG-based document intelligence, developed anomaly detection and inventory systems processing millions of SKUs, and exposed real-time predictions via REST APIs for operational use.

NLP RAG Pyspark Delta Lake REST APIs Semantic Search Anomaly Detection

Machine Learning Engineer

Potentia Synergy LLC

Jan 2018 - Jan 2020 (2 years)

Developed end-to-end ML pipelines for demand forecasting, churn prediction, and customer segmentation, implemented time-series models and deployed monitored models into production using MLflow.

Time Series XGBoost ARIMA Airflow SQL MLFlow Model Monitoring