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Vetted BigQuery Professionals
Pre-screened and vetted.
Intern Machine Learning Engineer specializing in AI security and anomaly detection
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Mid-level AI/ML Engineer specializing in NLP/LLMs and production ML systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Director-level Cloud Alliances & Partner Business Development leader specializing in hyperscaler GTM
Senior Software Engineer specializing in AI/ML evaluation and full-stack systems
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Mid-level Growth Marketing Manager specializing in performance marketing and marketing analytics
Principal Data Engineer specializing in cloud-native AI and data platforms
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and GPU-accelerated cloud systems
Mid-Level Backend Software Engineer specializing in FinTech and cloud-native platforms
Senior Technology Consultant specializing in cloud, data engineering, and AI solutions
Senior Machine Learning Engineer specializing in LLMs and Generative AI
Senior Data Engineer specializing in cloud data platforms and real-time analytics
Mid-level Data Engineer specializing in big data platforms and analytics infrastructure
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Alexander Choy
Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision
“Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.”
Gowri Kajipuram
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multimodal deep learning
“ML/LLM engineer who has built and productionized a large multimodal LLM pipeline end-to-end—fine-tuning a 20B+ parameter model with distributed/FSDP training and deploying on Kubernetes via Triton for ~5x throughput. Strong focus on reliability and safety (monitoring with SHAP, guardrails, A/B testing) with reported ~22% relevance lift and reduced harmful/incorrect outputs, plus experience orchestrating ETL/retraining workflows with Airflow across S3/Snowflake/RDS.”
Rajan Souda
Mid-level AI Engineer specializing in Generative AI and MLOps
“Built and deployed a production LLM-powered clinical support assistant at BJC HealthCare (RAG + transformer) to answer patient questions, summarize clinical notes, and support appointment workflows. Implemented PHI-safe data pipelines (Spark/Hadoop/Kafka) with automated scrubbing, dataset versioning, and audit logs, and runs the system on Docker/Kubernetes with Pinecone vector search while partnering closely with clinical operations staff.”