Hire Freelance Google Vertex AI Specialists
Randall Vaughn Shane
Randall is an AI systems architect with 30+ years building enterprise-grade data and intelligence systems across healthcare, finance, retail, and defense. He designs production agentic AI—tool-using agents, MCP-based orchestration, and RAG over knowledge graphs—on cloud-native data foundations (AWS, Databricks, S3 lakehouse with Parquet/Iceberg). He pairs deep data engineering and governance (ownership, security, lineage, FHIR/HL7) with explainable GenAI built for regulated environments.
Show MoreMuhammed Mutahr
Muhammed is a senior full-stack and AI engineer with experience across automotive finance, healthcare, and education. At Ford Credit, he has led the development of enterprise LLM applications, agentic systems, fraud automation, AI-powered recommendation services, and customer-facing financial platforms. He brings deep expertise in Python, FastAPI, Java, Spring Boot, React, Vertex AI, GCP, PostgreSQL, and Redis, combining hands-on engineering with architecture and technical leadership.
Show MoreRam Bitra
Ram is a site reliability engineer (SRE) with over 10 years of experience in automating, deploying, and managing scalable infrastructure across cloud and on-premise environments. Skilled in CI/CD pipelines, cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes, Docker), and configuration management (Ansible, Terraform, Chef), he enhances system reliability, performance, and scalability. Ram is also experienced in monitoring tools, including Splunk, DataDog, and Dynatrace.
Show MoreShreya Tumati
Shreya is a generative AI engineer with experience designing and deploying production-grade AI systems across insurance, healthcare, and financial services. Focusing on end-to-end GenAI solutions, Shreya builds retrieval-augmented generation (RAG) pipelines, fine-tunes large language models, and develops autonomous agents. She also architects cloud-native AI platforms on AWS, Azure, and Google Cloud Platform (GCP) to ensure scalability, reliability, and operational efficiency.
Show MoreBruno Nogueira Carlos
Bruno is a senior machine learning engineer and data scientist with over 10 years of experience in classical ML, computer vision, and production ML systems. He has delivered end‑to‑end workflows for clients such as GroupM and Mind Over Data, working on projects for Coca‑Cola, Bayer, Colgate-Palmolive, Universal Pictures, and Google‑partnered initiatives. His expertise spans Google Cloud Platform and Vertex AI.
Show MoreJohnmicah Potter
Johnmicah is a principal-level engineer and AI architect with nearly 20 years of experience building large-scale systems for Fortune 500 enterprises and high-growth startups. Anthropic-trained, he ships production agentic AI: multi-agent systems, LLM services, and MCP servers, plus the infrastructure behind them. He founded Integrally's engineering org from zero, holds a granted patent for an AI code-generation process, and has a second AI-agent patent pending.
Show MoreAsdrúbal Suárez
Asdrúbal is a software engineer who connects quickly with both people and problems. With 14 years of experience shipping production back-end systems, he has resolved a single point of failure in an LLM platform, improving uptime from 93% to 99.9%, audited financial platforms for Big Four clients, and developed carbon-credit pricing models from tillage data. Asdrúbal gets up to speed in unfamiliar domains fast and explains complex concepts clearly and without talking down to anyone.
Show MoreIvan Peev
Ivan is a senior software developer and hands-on technical leader with 20+ years of experience building back-end, data-intensive, and AI-enabled systems. He specializes in Python, Java, C++, and SQL, with strong expertise in APIs, distributed services, cloud platforms, databases, data pipelines, mathematics, statistics, and computational geometry. Ivan is known for clear communication and reliable, maintainable delivery.
Show MoreSusanna Sargsyan
Susanna is a senior machine learning engineer with nearly 5 years of experience building and deploying scalable AI systems for clients, including Plat.AI and a robotics/autonomous systems company. Her core expertise spans advanced computer vision and generative AI, supported by robust MLOps engineering using Vertex AI, Kubeflow Pipelines, and GCP. Susanna thrives in fast-paced startup environments, where she recently architected a production ML platform supporting multiple prediction services.
Show MoreChaima YEDES
Chaima is a data architect with 8 years of experience across data engineering, MLOps, and AI infrastructure. She's a specialist in trusted lakehouses, federated data platforms, and AI-ready foundations. At QData (ADQ), she built a Databricks-native quality framework across multiple entities, and at Valeo, she led the AI data platform for autonomous driving across 4 countries.
Show MoreShyam Mukherjee
Shyam is a senior data scientist with expertise in scalable AI/ML solutions, specializing in recommender systems, NLP, and real-time bidding. Skilled in Python, SQL, scikit-learn, and cloud platforms like AWS and Vertex AI, he drives customer engagement and optimizes costs through impactful projects. Shyam is recognized for excellence with a Master of Technology gold medal and top Kaggle rankings for delivering data-driven business outcomes efficiently.
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