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Vetted Elasticsearch Professionals
Pre-screened and vetted.
srikanth tulluru
Mid-level Product Designer & Design Technologist specializing in design systems and GenAI UX
“Enterprise/industrial UX designer focused on making complex, real-time automated systems feel trustworthy and predictable. Has hands-on experience observing operators in logistics/automation environments, building shared interaction models to unify fragmented products, and collaborating tightly with engineers using component-system thinking (HTML/CSS/TypeScript) to ship resilient UIs that handle partial failures.”
Dhruv Patel
Junior Full-Stack Developer specializing in React, Node.js, and AI-powered web apps
“Robotics software engineer with ROS 2 Humble/Nav2 experience on a warehouse robot fleet, focused on improving throughput in dynamic human environments. Implemented C++ local-planner and velocity-control changes using LiDAR-based motion prediction and real-time costmap tuning under a 20ms control loop, and built a Gazebo digital twin with custom failure-injection plugins plus Docker/Kubernetes deployment tooling.”
Pavan Sai Reddy Pendry
Junior AI/ML Engineer specializing in GenAI, RAG, and full-stack ML systems
“Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.”
Adarsh Vodnala
Mid-level Full-Stack Software Engineer specializing in SaaS and AI-enabled platforms
“Built and shipped production AI features in the automotive dealership domain, including an end-to-end computer-vision damage detection system for trade-ins and a tool-calling, RAG-enabled LotSync AI Agent that answers inventory/VIN questions using strict schemas and internal APIs to avoid hallucinations. Also developed a Dagster + Oracle automated reporting pipeline as a Graduate Research Assistant, supporting 15+ university departments with normalized, reliable ETL workflows.”
Pavithran Gnanasekaran
Entry-level Software Engineer specializing in AI/ML and full-stack systems
“Internship-built full-stack systems spanning HR employee-record portals and internal data-quality dashboards (Flask + SQL + React), emphasizing data integrity and rapid MVP iteration. Also implemented Flask microservices with RabbitMQ for distributed task processing, addressing duplication/ordering issues with idempotency, durable queues, and correlation-ID logging; delivered quantified productivity gains for HR teams.”
Mid-level Software Engineer specializing in cloud microservices and ML systems
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI
Mid-Level Backend Engineer specializing in Python/Django and AWS Serverless
Mid-level Software Engineer specializing in AI agents and full-stack systems
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI-integrated platforms
Junior Generative AI Engineer specializing in LLM systems and RAG
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
Junior Full-Stack Software Engineer specializing in logistics and IoT systems
Mid-level DevOps & Customer Success Engineer specializing in cloud, networking, and GenAI
Thimone Noupa
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation
“DevOps/cloud infrastructure engineer focused on AWS automation: built GitHub Actions/Jenkins pipelines for containerized deployments with strong security controls and rollback, and implemented Terraform-based AWS provisioning with modular code and remote state/locking. Has led on-prem to AWS migration cutovers with structured risk/rollback planning and stabilization, but has not worked directly with IBM Power/AIX/LPARs or PowerHA/HACMP.”
Senior Full-Stack AWS Developer specializing in cloud-native microservices and serverless systems
Mid-level Software Engineer specializing in UI platforms and FinTech systems
Executive Founder-CTO specializing in AI agents and distributed systems
Rastko Nozinic
Senior Full-Stack Software Engineer specializing in enterprise web applications
“Full-stack product engineer who built an AI-powered translation service end-to-end for an enterprise e-learning platform, including Angular/TypeScript frontend, Java/Spring Boot backend, Claude API integration, and a custom cost/usage dashboard. Unusually, they also bring a Master's in Architecture and 10+ years as an architect/interior designer, which they leveraged to lead a full UI/UX overhaul that became the platform's visual identity.”