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Vetted Elasticsearch Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in distributed systems and GenAI infrastructure
Senior Full-Stack Engineer specializing in telehealth and commerce platforms
Senior Software Engineer specializing in backend platforms and data systems
Senior Backend Engineer specializing in Healthcare & Cloud Platforms
Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation
Senior Data Engineer specializing in cloud data platforms and real-time analytics
Senior Data Scientist specializing in Generative AI and conversational AI
Senior Software Engineer specializing in backend distributed systems and FinTech
Senior Software Engineer specializing in full-stack platforms and FinTech systems
Junior Frontend Software Engineer specializing in React, TypeScript, and performance optimization
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Intern Full-Stack Software Engineer specializing in distributed systems and cloud services
Mid-level Software Engineer specializing in distributed systems and payments
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Senior Software Engineer specializing in generative AI and real-time platforms
Director-level Engineering Leader specializing in SaaS platforms, cloud architecture, and SRE
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”
Vatsal Gabani
Mid Software Engineer specializing in backend systems and AI-enabled platforms
“Full-stack engineer with hands-on ownership of a support ticket intelligence platform, spanning React/TypeScript frontend work and backend API, PostgreSQL, Redis, and Docker-based deployment. They stand out for driving practical architecture and performance improvements in production, including moving heavy processing async and cutting response times from about 300ms to 150ms while improving reliability.”
Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”