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Hi, I’m Osama Sajid, a Senior Machine Learning Engineer with 7+ years of experience designing, deploying, and scaling enterprise AI, Generative AI, and MLOps solutions. I specialize in building LLM-powered applications, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and production-grade ML platforms across cloud and edge environments. I’m passionate about architecting end-to-end AI solutions, optimizing performance and infrastructure costs, and delivering secure systems that drive measurable business impact.\n\nI thrive on turning complex AI ideas into practical, scalable products, collaborating across teams to deliver measurable outcomes and iterating rapidly in fast-paced environments.…Hi, I’m Osama Sajid, a Senior Machine Learning Engineer with 7+ years of experience designing, deploying, and scaling enterprise AI, Generative AI, and MLOps solutions. I specialize in building LLM-powered applications, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and production-grade ML platforms across cloud and edge environments. I’m passionate about architecting end-to-end AI solutions, optimizing performance and infrastructure costs, and delivering secure systems that drive measurable business impact.\n\nI thrive on turning complex AI ideas into practical, scalable products, collaborating across teams to deliver measurable outcomes and iterating rapidly in fast-paced environments.

Syed Sajid

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Osama Sajid, a Senior Machine Learning Engineer with 7+ years of experience designing, deploying, and scaling enterprise AI, Generative AI, and MLOps solutions. I specialize in building LLM-powered applications, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and production-grade ML platforms across cloud and edge environments. I’m passionate about architecting end-to-end AI solutions, optimizing performance and infrastructure costs, and delivering secure systems that drive measurable business impact.\n\nI thrive on turning complex AI ideas into practical, scalable products, collaborating across teams to deliver measurable outcomes and iterating rapidly in fast-paced environments.…Hi, I’m Osama Sajid, a Senior Machine Learning Engineer with 7+ years of experience designing, deploying, and scaling enterprise AI, Generative AI, and MLOps solutions. I specialize in building LLM-powered applications, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and production-grade ML platforms across cloud and edge environments. I’m passionate about architecting end-to-end AI solutions, optimizing performance and infrastructure costs, and delivering secure systems that drive measurable business impact.\n\nI thrive on turning complex AI ideas into practical, scalable products, collaborating across teams to deliver measurable outcomes and iterating rapidly in fast-paced environments.

Available to hire

Hi, I’m Osama Sajid, a Senior Machine Learning Engineer with 7+ years of experience designing, deploying, and scaling enterprise AI, Generative AI, and MLOps solutions. I specialize in building LLM-powered applications, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and production-grade ML platforms across cloud and edge environments. I’m passionate about architecting end-to-end AI solutions, optimizing performance and infrastructure costs, and delivering secure systems that drive measurable business impact.\n\nI thrive on turning complex AI ideas into practical, scalable products, collaborating across teams to deliver measurable outcomes and iterating rapidly in fast-paced environments.

Skills

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Work Experience

Senior Machine Learning Engineer at Zorvix Labs

March 1, 2023 - Present

Led development of an AI-powered productivity platform using LLM pipelines with Retrieval-Augmented Generation (RAG), enabling context-aware automation via LangChain and LangGraph. Optimized LLM inference performance using AWQ/GPTQ quantization, reducing latency by 45% and cutting production infrastructure costs by 30%. Architected and deployed LLM-powered multi-agent systems with planning, memory, and tool orchestration for autonomous execution of complex workflows and real-time adaptive automation. Improved retrieval layer performance with sparse–dense hybrid search and embedding caching, increasing throughput under high-concurrency workloads. Developed and executed LLM Ops CI/CD pipelines for continuous evaluation and deployment of RAG systems, reducing release cycles from two weeks to under four hours. Improved RAG quality using evaluation frameworks to measure retrieval relevance and response quality.

Machine Learning Engineer at Scale AI

April 1, 2022 - February 28, 2023

Implemented robust model integration with Docker and Kubernetes for secure, low-latency enterprise apps. Planned and maintained scalable features to store and ETL pipelines using Spark/PySpark for processing terabytes of financial data. Enforced proactive model monitoring and alerting to detect data drift and performance degradation. Collaborated with risk and compliance teams to ensure explainability (SHAP/LIME) and adherence to data privacy and governance standards.

Machine Learning Engineer at Tech Dreams

April 1, 2019 - March 31, 2022

Researched and fine-tuned core ML models (Regression, Classification, tree ensembles) with Scikit-Learn, XGBoost, and PyTorch. Cleaned and tokenized unstructured data, performed rigorous exploratory data analysis (EDA) to uncover key feature insights. Optimized model tracking and hyperparameter tuning using MLFlow and Weights & Biases, logging metrics to identify top-performing variants. Transitioned prototype Jupyter Notebooks into clean, modular Python packages.