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Kamran N
@kamranniroomand
Senior Machine Learning Engineer
Kanada
Englisch
Über mich
I am an AI Engineer with 8+ years of experience delivering data-driven solutions and deploying machine learning models into production. I am skilled in data modeling, machine learning, and pipeline automation using Python, SQL, and cloud platforms. I have a proven ability to build production-ready solutions and optimize workflows.
Kompetenzen
Kamran N
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
KI-Integrationen
I will build a custom ai agent or llm integration for your business
Beratung für Datenwissenschaft
I will deploy and productionize your machine learning models
Portfolio
Arbeitserfahrung
Senior Machine Learning Engineer
Optialy • Vollzeit
Jun 2022 - Present • 4 yrs 3 mos
- Architected orchestrated multi-agent AI systems with tool execution, code execution, semantic routing, and MCP-based integrations for enterprise-scale automation. - Designed and built scalable backend services and APIs using Python, FastAPI, PostgreSQL, Redis, Docker, and Azure to support production AI workloads. - Led R&D and architecture initiatives for next-generation agentic AI capabilities and enterprise data retrieval systems. - Implemented metadata catalog and semantic discovery systems enabling AI agents to reason across complex enterprise schemas. - Built LLM orchestration pipelines, RAG workflows, evaluation frameworks, and observability tooling for production AI systems. - Deployed and optimized LLM inference infrastructure using vLLM, Modal, and GPU-based serving environments. - Mentored junior data professionals and introduced best practices in data science, fostering a high-performing and collaborative team environment.
AI Engineer
NextVR • Vollzeit
Aug 2019 - Jun 2022 • 2 yrs 10 mos
- Assisted in developing volume rendering software in C++ and CUDA environments from scratch for volume rendering experiments. - Developed and deployed fpga-friendly AI solutions for different tasks such as inpainting, upscaling, etc. - Designed efficient codec architecture to maintain fidelity and real-time data flow rate. - Implemented and maintained CI/CD pipelines using Jenkins for automated builds, testing, and deployments in a collaborative Git environment, ensuring efficient code integration and delivery.
Data Scientist
WatchMojo
Aug 2018 - Aug 2019 • 1 yr
Developed and maintained data pipelines using Airflow and GCP BigQuery to analyze key insights for videos and channels, enabling data-driven decision-making. Integrated data from Snapchat and Facebook Graph API into GCP BigQuery, creating a centralized data warehouse and formulating actionable KPIs for channel and project managers.
