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I am an AI/ML Researcher & Developer with over 6 years of experience building data-driven systems, IoT solutions, 5G RAN and core networks, and real-time analytics platforms for large-scale environments. I have strong expertise in process monitoring, optimization, and distributed system design, with hands-on experience in machine learning and LLM-based agentic systems. I design and deploy end-to-end production solutions, including data pipelines, RAG-based systems, anomaly detection, and visualization platforms. I am experienced in building scalable backend systems and integrating AI models with APIs and cloud infrastructure.…I am an AI/ML Researcher & Developer with over 6 years of experience building data-driven systems, IoT solutions, 5G RAN and core networks, and real-time analytics platforms for large-scale environments. I have strong expertise in process monitoring, optimization, and distributed system design, with hands-on experience in machine learning and LLM-based agentic systems. I design and deploy end-to-end production solutions, including data pipelines, RAG-based systems, anomaly detection, and visualization platforms. I am experienced in building scalable backend systems and integrating AI models with APIs and cloud infrastructure.

Chuan Pham

AI Developer, AI Engineer, Data Scientist, +6

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I am an AI/ML Researcher & Developer with over 6 years of experience building data-driven systems, IoT solutions, 5G RAN and core networks, and real-time analytics platforms for large-scale environments. I have strong expertise in process monitoring, optimization, and distributed system design, with hands-on experience in machine learning and LLM-based agentic systems. I design and deploy end-to-end production solutions, including data pipelines, RAG-based systems, anomaly detection, and visualization platforms. I am experienced in building scalable backend systems and integrating AI models with APIs and cloud infrastructure.…I am an AI/ML Researcher & Developer with over 6 years of experience building data-driven systems, IoT solutions, 5G RAN and core networks, and real-time analytics platforms for large-scale environments. I have strong expertise in process monitoring, optimization, and distributed system design, with hands-on experience in machine learning and LLM-based agentic systems. I design and deploy end-to-end production solutions, including data pipelines, RAG-based systems, anomaly detection, and visualization platforms. I am experienced in building scalable backend systems and integrating AI models with APIs and cloud infrastructure.

Available to hire

I am an AI/ML Researcher & Developer with over 6 years of experience building data-driven systems, IoT solutions, 5G RAN and core networks, and real-time analytics platforms for large-scale environments. I have strong expertise in process monitoring, optimization, and distributed system design, with hands-on experience in machine learning and LLM-based agentic systems.

I design and deploy end-to-end production solutions, including data pipelines, RAG-based systems, anomaly detection, and visualization platforms. I am experienced in building scalable backend systems and integrating AI models with APIs and cloud infrastructure.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior AI/ML Developer at TAISP & Humanitas Solutions

October 1, 2022 - Present

Led R&D initiatives to design and implement AI/ML solutions for 5G networks, including user equipment behavior modeling, traffic pattern detection, and localization. Developed and deployed applications on ORAN-SC framework and integrated MLflow for experiment tracking and model lifecycle management. Collaborated with VMware RIC team to develop xApps. Managed microservices for healthcare network systems and developed AI/ML apps including localization and voice chatbots using OpenAI, Asterisk, and Langchain. Implemented scalable backend systems with FastAPI, AirFlow, and MLflow on cloud platforms. Developed 5G monitoring services using Keycloak, FastAPI, Prometheus, and Grafana. Used microservice scheduling, orchestration, and batch processing workflow monitoring for large-scale systems. Deployed LTE and 5G private networks using Docker and Kubernetes on Azure and 5G Core network using Kubernetes and Terraform.

R&D Engineer – Edge Computing and Cloud Networks at Synchromedia Laboratory, ETS

October 1, 2022 - July 20, 2025

Spearheaded R&D projects focusing on deploying IoT network service chains and optimizing 5G network operations. Designed and implemented solutions for flying base stations in ORAN networks. Led a team of engineers to develop advanced network optimization solutions for IoT and ENCQOR 5G initiatives. Utilized frameworks such as 5GPy, TensorFlow, Keras, and Gurobi to develop AI and optimization models. Managed CI/CD workflows with GitLab and coordinated project tasks using Jira. Directed cross-functional teams across IoT, M2M, and 5G projects.

R&D Engineer – IoT and 5G Network Development at Kyung Hee University

November 30, 2017 - July 20, 2025

Designed and implemented service chain placement solutions in edge and cloud data centers. Developed energy-efficient strategies for distributed cloud data centers and integrated demand response systems. Implemented and deployed a 5G indoor testbed using USRP B210, demonstrating next-generation network capabilities. Delivered solutions for joint energy scheduling and water conservation in mixed-use geo-distributed buildings. Designed a patent for data center migration solution and implemented its proof-of-concept testbed.

Senior AI/ML Developer at TAISP & Humanitas Solutions

October 1, 2022 - Present

Led R&D initiatives to design and implement AI/ML solutions for 5G networks, including user equipment behavior modeling, traffic pattern detection, and localization. Developed and deployed applications on ORAN-SC framework and integrated MLFlow for experiment tracking and model lifecycle management. Collaborated with VMware RIC team to develop xApps. Managed microservices of the healthcare network system. Developed AI/ML apps such as localization, voice chatbot with OpenAI, Asterisk, and Langchain. Implemented backend systems using FastAPI, Airflow, and MLflow for chatbot scalability on cloud platforms. Developed 5G monitoring services using Keycloak, FastAPI, Prometheus, and Grafana. Employed microservice scheduling, orchestrating, and monitoring batch processing workflows for large-scale systems. Deployed LTE and 5G private networks using Docker and Kubernetes on Azure and deployed 5G Core network using Kubernetes and Terraform.

R&D Engineer – Edge Computing and Cloud Networks at Synchromedia Laboratory, ETS

October 1, 2022 - July 24, 2025

Spearheaded R&D projects focused on deploying IoT network service chains and optimizing 5G network operations. Designed and implemented solutions for flying base stations in ORAN networks. Led a team of engineers developing network optimization solutions for IoT and ENCQOR 5G initiatives. Utilized frameworks such as 5GPy, TensorFlow, Keras, and Gurobi to develop AI and optimization models. Managed CI/CD workflows with GitLab and coordinated project tasks using Jira. Directed cross-functional teams across IoT, M2M, and 5G projects.

R&D Engineer – IoT and 5G Network Development at Kyung Hee University

November 30, 2017 - July 24, 2025

Designed and implemented service chain placement solutions in edge and cloud data centers. Developed energy-efficient strategies for distributed cloud data centers and integrated demand response systems. Implemented and deployed a 5G indoor testbed using USRP B210 to demonstrate next-generation network capabilities. Delivered solutions for joint energy scheduling and water conservation in mixed-use geo-distributed buildings. Designed a patent for a data center migration solution and implemented its proof-of-concept testbed.

Senior AI/ML Developer at TAISP & Humanitas Solutions

October 1, 2022 - Present

Led R&D initiatives to design and implement AI/ML solutions for 5G networks, including user equipment behavior modeling, traffic pattern detection, and localization. Developed and deployed applications on ORAN-SC framework and integrated MLflow for experiment tracking and model lifecycle management. Collaborated with VMware RIC team to develop xApps. Managed microservices of the healthcare network system and developed AI/ML applications such as localization and voice chatbots using OpenAI, Asterisk, and Langchain. Implemented scalable backend systems using FastAPI, Airflow, and MLflow on cloud platforms. Developed 5G monitoring services using Keycloak, FastAPI, Prometheus, and Grafana. Employed microservice scheduling, orchestrating, and monitoring batch workflows for large-scale systems. Deployed LTE and 5G private networks using Docker and Kubernetes on Azure, and 5G Core networks using Kubernetes and Terraform.

R&D Engineer – Edge Computing and Cloud Networks at Synchromedia Laboratory, ETS

October 1, 2022 - July 24, 2025

Spearheaded R&D projects focused on deploying IoT network service chains and optimizing 5G network operations. Designed and implemented solutions for flying base stations in ORAN networks. Led a team of engineers developing advanced network optimization solutions for IoT and ENCQOR 5G initiatives. Utilized frameworks such as 5GPy, TensorFlow, Keras, and Gurobi to develop AI and optimization models. Managed CI/CD workflows with GitLab and coordinated project tasks using Jira. Directed cross-functional teams across IoT, M2M, and 5G projects.

R&D Engineer – IoT and 5G Network Development at Kyung Hee University

November 30, 2017 - July 24, 2025

Designed and implemented service chain placement solutions in edge and cloud data centers. Developed energy-efficient strategies for distributed cloud data centers and integrated demand response systems. Implemented and deployed a 5G indoor testbed using USRP B210 demonstrating next-generation network capabilities. Delivered joint energy scheduling and water conservation solutions for mixed-use geo-distributed buildings. Designed a patent for a data center migration solution and implemented its proof-of-concept testbed.

AI/ML Researcher & Developer at ETS

January 1, 2025 - Present

Designed and deployed real-time monitoring and analytics systems for 5G networks in Kubernetes using Prometheus, Grafana, Python and Ruby on Rails. Developed backend systems for hospital services such as chatbot and RAG-based systems using Python, LangChain, Lang Graph. Built backend services for anomaly detection solutions for banking services. Integrated LLM-based agentic systems for monitoring dashboard services.

Head of AI/5G Team at HUMANITAS SOLUTIONS

October 1, 2022 - January 1, 2025

Led development and deployment of ML models for anomaly detection and risk identification. Built agentic AI systems using LLM, n8n, Prometheus and Grafana for autonomous monitoring in 5G networks. Deployed ML pipelines to production using FastAPI, MLflow, Airflow, Docker, and Kubernetes to deploy 5G localization services. Designed network architecture and deployed private 5G networks using OpenStack, Open5GS and srsRAN.

Researcher at SYNCHROMEDIA LABORATORY

December 1, 2017 - October 1, 2022

Spearheaded R&D projects focused on AI/ML to optimize IoT network service chains and scalable 5G network operations. Conducted applied research in statistical modeling and optimization for large-scale distributed systems using Python and PySpark. Developed predictive and classification models using TensorFlow, Keras, and PyTorch for complex network optimization problems. Developed advanced network optimization solutions for IoT projects.

Researcher – IoT and 5G Network Development at KYUNG HEE UNIVERSITY, SOUTH KOREA

August 1, 2017 - November 1, 2017

Designed and implemented service chain placement (SFP) solutions in edge and cloud data centers to improve resource allocation. Implemented 5G localization systems using Time of Arrival (ToA) and neural network architectures for precision tracking.

Web Development Team Leader (Remote) at SKYPATROL US

April 1, 2014 - March 1, 2017

Led a development team in building web applications for GPS services. Managed code reviews and CI/CD deployment processes for web services, ensuring high availability and system reliability. Maintained servers and troubleshooting workflows for GPS localization services, optimizing database performance and data pipeline stability.