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Vetted Java Professionals
Pre-screened and vetted.
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”
Yishi Wang
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”
Gabriel Undrerwood
Engineering executive specializing in production ML systems and enterprise SaaS
“Engineering/data platform leader from FLYR (airline ML forecasting and automated pricing) who built scalable ingestion/ETL and a canonical data model to onboard airlines with highly heterogeneous source systems. Created a golden-metrics layer for airline KPIs and implemented monitoring/backfill capabilities, cutting onboarding time by 50%+ while improving SLA performance and controlling cloud/ML training costs through stronger data quality gates.”
Jun Ouyang
Principal Software Engineer / Tech Lead specializing in distributed systems, payments, and reliability
“Backend engineer with DoorDash experience building production-critical systems spanning LLM-based real-time safety moderation (SendBird callbacks + ChatGPT risk scoring with automated actions) and large-scale payments data pipelines (Kafka to CockroachDB with aggregation APIs). Also led cross-team reliability work to standardize SLOs and drove an incident redesign from batch pull to real-time push callbacks to eliminate critical-event latency.”
Junior Software Development Engineer specializing in AWS IAM policy verification
Executive Technology Leader specializing in AI, cloud, and enterprise transformation
Senior Software Engineer specializing in cloud microservices, payments, and analytics
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Backend Engineer specializing in Python workflow orchestration and automation
Mid-level Gameplay/AI Engineer specializing in Unity, XR, and narrative NPC systems
Executive Full-Stack Developer specializing in computer graphics and AI-powered visual search
Executive Technology & Engineering Leader specializing in AI, SaaS, and cloud platforms
Mid-Level Software Engineer specializing in distributed backend systems and cloud microservices
Senior Full-Stack Software Engineer specializing in scalable web and mobile applications
Mid-level Software Engineer specializing in distributed systems and big data
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Senior Full-Stack Software Engineer specializing in cloud-native web applications
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference
Intern Machine Learning Engineer specializing in LLMs, RAG, and model quantization
Senior Full-Stack Engineer specializing in AI-powered SaaS and cloud-native analytics
Mid-Level Full-Stack Software Engineer specializing in Python/Java microservices and cloud