Vetted Docker Professionals

Jeffrey Ren

Screened

Mid-level Full-Stack Software Engineer specializing in SaaS and AI-enabled web applications

Henderson, NV5y exp

“Full-stack engineer who led an end-to-end rebuild of a service-agent case management app (React SPA + backend/DB updates) and added Datadog monitoring, improving agent throughput by ~1 case/hour and saving roughly $15K/month. Experienced in incremental legacy modernization (including moving a legacy React frontend toward a Rails-based approach) with heavy unit/E2E testing and strong cross-team stakeholder communication.”

Justin Stander

Screened

Staff Frontend Engineer specializing in React platforms and SaaS architecture

New York, NY22y exp

“Frontend engineer who owned a globally deployed, multi-brand appointment-booking experience for Estée Lauder, balancing React modernization with legacy platform constraints. Stands out for combining micro-frontend architecture, browser-performance optimization, and product analytics tools like Fullstory, NPS, and attribution tagging to drive both UX improvements and measurable revenue impact.”

Koushik Ravikumar

Screened

Mid-level Full-Stack Engineer specializing in cloud-native Java and AI platforms

Kyle, TX4y exp

“Full-stack engineer with strong cloud and platform experience spanning React, Go, AWS, Kafka, and Terraform. Has led complex migrations from monolithic/containerized systems to microservices and cloud deployments, built compliance-oriented logging infrastructure, and improved a broken frontend codebase to achieve a 3x performance gain while making it easier for other developers to extend.”

KAVYA UDATHA

Screened

Mid-level Full-Stack Java Developer specializing in retail, banking, and healthcare systems

Fairborn, OH5y exp

“Full-stack engineer with hands-on ownership of a real-time retail inventory and shipment tracking platform, spanning React/Angular dashboards through Spring Boot microservices, PostgreSQL, and Kafka. Stands out for building operationally impactful systems in ambiguous environments and for thinking carefully about scalability, monitoring, and user-friendly workflow automation, even without direct production AI experience.”

“Built end-to-end product features spanning full-stack web development and LLM-powered systems in an early-stage startup environment. Notably shipped an AI financial assistant chatbot with agent routing, validation, fallback handling, and production monitoring, and also owned a scheduling system integrating Next.js, backend APIs, database design, and Google Calendar OAuth.”

“AI product engineer with hands-on experience shipping enterprise LLM systems at General Motors, including NL2SQL analytics, RAG-based enterprise search, and multi-agent document analysis. Stands out for combining strong technical depth in LangChain/Vertex AI/Pinecone/Redshift with disciplined evals, human-in-the-loop design, and clear business impact such as 70% to 90%+ accuracy gains, 3x analyst throughput, and rapid MVP delivery in 6 weeks.”

“Front-end/product engineer who has built an AI-assisted browser discussion platform combining vector-search-backed LLM responses with real-time chat, plus high-scale analytics interfaces for business users. Stands out for blending modern UI engineering with browser internals knowledge, including cross-browser extension behavior and tricky iOS Safari viewport/rendering issues.”

“Backend-leaning full-stack engineer who has shipped both a SaaS analytics/A-B testing platform and an AI-driven fraud monitoring product in production. Stands out for combining React/TypeScript frontend work with Python/Java backend systems, event-driven architecture, and practical LLM integration grounded by validation and human analyst feedback, with measurable impact on engagement, performance, fraud accuracy, and false positives.”

Yujun Liu

Screened

Junior AI software engineer specializing in agentic workflows and cloud platforms

Cambridge, MA3y exp

“AI/full-stack builder who has owned end-to-end LLM features in both creative tooling and education workflows. Built a multi-agent film-production workspace for Backlot and an automated ingestion pipeline at iOffer.AI that cut counselor manual entry by 70%, with hands-on depth in orchestration, validation, monitoring, and human-in-the-loop system design.”

“Full-stack engineer with 8 years of experience spanning regulated healthcare IoT and enterprise security SaaS. Has worked on a high-growth healthcare equipment platform and DigiCert's certificate lifecycle management product, combining hands-on React/Node.js development with compliance, auditability, and reliability requirements. Currently seeking a more code-heavy role after moving into a more advisory position.”

Omkar Tulsidas Parab

Screened

Mid-level Software Engineer specializing in full-stack web and AI applications

United States5y exp

“Software engineer who owned an Order Management System end-to-end at Reliance Jio, improving large-table performance via UI virtualization shipped behind feature flags and refined through direct ops-user observation. Also built an OCR automation tool at Piramal Realty using Python/Tesseract with validation and manual correction fallbacks, driving adoption by operations teams. Experienced integrating with Kafka-based microservices and improving observability using structured logging and correlation IDs.”

“Yogesh is an AI/full-stack engineer from LangChain who says he was the sole developer and core maintainer of OpenSWE/OpenSpeed, an asynchronous coding agent in LangSmith Cloud that turns requests from Slack, Linear, and GitHub into reviewable PRs. He emphasizes production-grade agent infrastructure: event-driven workflow design, typed run states, observability, retries, and latency improvements via pre-warmed sandboxes.”

“Full Stack Software Engineer with enterprise experience across healthcare, insurance, and internal SaaS systems, combining React/TypeScript/Node.js depth with hands-on LLM feature delivery. Stands out for building secure RBAC architecture and shipping production AI workflow assistance with strong guardrails, monitoring, and human-in-the-loop decisioning in regulated environments.”

“Full-stack TypeScript engineer with hands-on experience building e-commerce and subscription/dashboard features across React, Node.js/Express, MongoDB, and PostgreSQL. Has owned features through AWS/GitHub Actions deployment and post-production support, including diagnosing stale-cache issues in production and improving team velocity by standardizing reusable UI components.”

“AI/full-stack engineer with hands-on experience shipping both computer vision and LLM products in production across marketplace and healthcare settings. Built an automated device grading system at Northladder and improved a Deloitte healthcare chatbot using RAG, with a strong emphasis on grounding, validation, uncertainty handling, and human review for high-impact decisions.”

Jaisurya Kolluru

Screened

Mid-level Software Engineer specializing in cloud-native backend and AI systems

Virginia, USA5y exp

“Full-stack engineer with hands-on ownership across React/TypeScript frontends, Node.js backends, and PostgreSQL on AWS. Stands out for production-focused database optimization, including execution-plan analysis, indexing, safe migrations, and architectural improvements that reduced database bottlenecks through a centralized REST API layer.”

“Backend-leaning engineer at Coforge with strong experience in subscription lifecycle and billing platforms, combining PostgreSQL, MongoDB, Azure, Kubernetes, and messaging systems. Stands out for owning production systems end to end and driving an event-driven architecture shift that reduced failures by 30%+ and improved response times by 40%.”

“Full-stack engineer with hands-on experience building enterprise workflow management platforms across React/TypeScript, Node.js/Express, Angular, and .NET Core microservices. They stand out for owning features through production, solving real-world data consistency and legacy-data issues, and driving architectural and SQL performance improvements that made dashboards faster and more reliable.”

“Backend engineer with experience at KPMG evolving an audit/reporting platform from monolithic components to microservices (Spring Boot/Node.js), improving API performance and enabling independent deployments. Demonstrates strong production focus across secure API design (FastAPI, JWT/OAuth2, RBAC/RLS), incremental migrations with feature flags, and robustness improvements like optimistic locking to prevent race conditions.”

“Backend engineer who built the core backend for Air Kitchens’ discovery/booking platform on AWS (Node + Python, DynamoDB, SQS/Lambda), optimizing for fast user-facing APIs and scalable async workflows. Introduced an AI matching service with a deterministic pre-filter + LLM ranking approach to balance latency vs quality, and has hands-on experience with production security (JWT/RBAC/RLS), CI/CD, and blue-green, staged migrations from Django to modular services.”

“Robotics software engineer who owned the navigation/control stack for a commercial autonomous lawnmower at Wavemaker Labs, with hands-on sim-to-real tuning and real-world debugging. Experienced in ROS 1/ROS 2 path tracking (Pure Pursuit), including adapting ROS 2 planner code into a ROS 1 system, and building telemetry/logging to quantify tracking errors. Currently in an ADAS simulation team enabling algorithm teams with SIL/HIL and feature validation.”

“Robotics software engineer focused on system-level C++/Linux stacks for multi-robot platforms, owning the communication layer and validation/testing infrastructure. Built Python simulation/replay and fault-injection tooling integrated with Docker + GitLab CI/CD, and debugged real-time localization issues by instrumenting IPC timing and refactoring multi-threaded pipelines for deterministic performance.”

“LLM/agentic systems practitioner who repeatedly takes customer-facing LLM prototypes into production by operationalizing prompts, hardening RAG pipelines, and adding monitoring/guardrails. Has hands-on experience debugging intermittent production failures under high traffic (vector store timeouts/empty retrieval) and implementing fail-safe behavior plus alerting. Also partners closely with sales in pilots/POCs, customizing demos with customer data and running side-by-side comparisons to drive adoption.”