U
Umarai R
About
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Los Angeles, California, United States
Résumé
Jobs
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- HSenior Machine Learning EngineerHireGPTJan 2024 - Current (2 years 4 months)• Architecting AI Native web applications on GCP utilizing Vertex AI and BigQuery to deliver scalable enterprise solutions. Building complex RAG pipelines and agent orchestration workflows using LangChain and LangGraph to automate talent matching. Developing modular React.js frontends and FastAPI backends to serve GenAI features, ensuring robust telemetry and logging via Google Cloud Monitoring. Leading the integration of LLMs with structured and unstructured enterprise data sources.
- AMachine Learning EngineerAutonomous Systems, CohereJan 2022 - Jan 2024 (2 years 1 month)• Implemented advanced Natural Language Processing (NLP) models for autonomous system communication. Engineered vector database solutions using FAISS and Pinecone to manage semantic search for system documentation. Fine-tuned large language models on GCP for domain-specific tasks, improving model accuracy and reliability. Collaborated in Agile Scrum environments to translate product requirements into technical AI architectures involving chain-of-thought workflows.
Senior Computer Vision EngineerMistral AIJan 2019 - Jan 2022 (3 years 1 month)• Optimized high-performance vision pipelines on GCP and reduced technical friction in model serving. Integrated computer vision outputs into full-stack web services using JavaScript frameworks and Python. Leveraged prompt engineering and multi-modal models to enhance scene understanding applications. Scaled production stability by implementing CI/CD pipelines and containerization using Docker and Kubernetes for AI workloads.- Systems Engineer - AI & RoboticsRunwayJan 2017 - Jan 2019 (2 years 1 month)• Designed and developed AI-powered web services, managing the entire application lifecycle from ingestion to deployment. Built modular architectures for robotic perception that utilized deep learning and sensor fusion. Developed data ingestion connectors for heterogeneous data sources, facilitating more efficient model training and evaluation loops. Documented technical designs and model specifications to align with enterprise security and performance standards.
- NSoftware Engineer, AI SystemsNorthbeam AnalyticsJan 2015 - Jan 2016 (1 year 1 month)• Wired together data pipelines and batch scoring tools for AI features. Implemented internal dashboard components using JavaScript to visualize model performance metrics and facilitate rapid experimentation.
- SMachine Learning EngineerSignal Arc LabsJan 2013 - Jan 2015 (2 years 1 month)• Built practical ML services for search, ranking, and document understanding using scikit-learn and Python, focusing on latency and data quality. Developed early-stage NLP tools for internal search optimization.
Education
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- Master of ScienceUniversity of Southern CaliforniaJan 2015 - Jan 2017 (2 years 1 month)
- Bachelor of ScienceUniversity of Southern CaliforniaJan 2011 - Jan 2015 (4 years 1 month)
Projects (professional or personal)
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- SScalable inference APICreated a scalable inference API using FastAPI and Docker, integrated with a React.js dashboard for real-time monitoring.
- HHuman-in-the-loop review toolingImplemented human-in-the-loop review tooling for validating LLM-generated content in production environments.
- EExperiment framework for model comparison and fine-tuningShipped an experiment framework for model comparison and fine-tuning on GCP, facilitating prompt evaluation and chain-of-thought analysis.
- AAgentic orchestration frameworkBuilt an agentic orchestration framework with LangGraph to automate multi-step reasoning tasks for high- impact AI outputs.
- RRAG application for semantic retrieval of enterprise documentsDeveloped an end-to-end RAG application using LangChain, Vertex AI, and Pinecone for semantic retrieval of enterprise documents.