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Vetted Elasticsearch Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in Java microservices, React, and cloud AI platforms
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Senior Staff Full-Stack Engineer specializing in AI copilots and cloud platforms
Mid-level AI/ML Engineer specializing in LLM, RAG, and multimodal systems
Senior Software Engineer specializing in distributed systems, ML infrastructure, and search
Mid-level Agentic AI & ML Engineer specializing in LLM agents and RAG systems
Senior Software Engineer specializing in cloud microservices and data pipelines
Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration
Executive Engineering Leader specializing in E-commerce, SaaS, and EdTech platforms
Staff Product Manager specializing in FinTech and enterprise SaaS platforms
Engineering Leader specializing in cloud-native SaaS and distributed systems
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Ethan Pribble
Senior Software Engineer specializing in cloud cost intelligence and FinOps platforms
“Backend/data engineer with strong authorization and compliance-domain experience: led a phased migration from a simplistic role model to modern RBAC on a Python serverless stack (Auth0 + AWS Lambda/API Gateway), coordinating changes across 5 repos with extensive manual and automated validation. Previously built and operated custom ETL pipelines (Airflow + Groovy/Java on Spark/YARN/Hadoop) to normalize messy customer email/chat/voice data for NLP-driven financial compliance indicators, including complex email journaling metadata enrichment and large-scale remediation reprocessing after production bugs.”
Deekshit Myakala
Mid-level Software Engineer specializing in cloud automation and data/ETL platforms
“Backend engineer with AWS multi-region production experience building APIs and workflow automation for data center/storage hardware operations (firmware orchestration, maintenance checks, ticketing, dashboards). Also shipped an internal AI chat tool that parses hardware runbooks and incorporates user feedback to retrain the model, and has a strong testing/quality discipline (95%+ coverage) plus database performance tuning via indexing and query monitoring.”
BHARGAV KODURU
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI integration
“Backend/distributed-systems engineer with Uber experience building real-time telemetry and safety signal pipelines. Strong in Kafka-based event-driven architectures, low-latency processing under peak load, and production reliability via monitoring, retries, and fallback logic; has Docker/Kubernetes and CI/CD deployment experience.”