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Vetted WebSockets Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in cloud-native microservices and commerce platforms
Mid-level Machine Learning Engineer specializing in fraud prevention and LLM systems
Senior QA Engineer specializing in AAA game quality engineering and Unreal Engine validation
Staff-level Backend Engineer specializing in distributed data platforms and AI infrastructure
Technology Executive specializing in AI-native engineering and cybersecurity governance
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Staff-level Software Engineer specializing in Unity real-time and cloud multiplayer systems
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Junior AI/ML Engineer specializing in agentic AI and cloud optimization
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Senior AI Infrastructure Engineer specializing in LLM systems and real-time ML platforms
Aman Garg
Mid-Level Full-Stack Software Engineer specializing in Python and React/TypeScript
“Built and shipped a map-embedding SDK (published to npm) for Walmart apps, solving key performance issues with real-time streaming (WebSockets) and Canvas rendering while prioritizing developer experience. Also applies LLM/agentic patterns in production workflows—using diagnostic agents and human-in-the-loop escalation to detect and resolve issues (e.g., voice agent loops caused by RAG API failures). Has sales-engineering experience supporting enterprise renewals, including a million-dollar contract renewal while at Siemens working with Ford stakeholders.”
Jiacheng Yin
Intern software engineer specializing in AI, backend systems, and cloud infrastructure
“Backend/AI systems engineer who has shipped production LLM agents focused on prompt engineering, code generation, and incident-response automation. Stands out for combining strong agent orchestration and reliability engineering with measurable business impact, including 60-70% cost reductions, 45% lower monthly LLM spend, and a 5x increase in developer iteration speed.”
Rafeeq Mohammad
Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare IT
“Backend engineer with experience at JPMorgan Chase and Walgreens, owning transaction-processing and prescription data flow systems in regulated environments. Brings strong hands-on depth in Spring Boot microservices, Kafka, Redis, Kubernetes, observability, and production incident resolution, plus practical experience integrating OpenAI-powered workflows with validation and fallback safeguards.”
Tara Munjuluri
Junior Software Engineer specializing in full-stack and AI systems
“Backend-focused engineer with end-to-end ownership experience on internal platforms at John Deere, including a workforce and skills system that cut manual review time by 40%. Brings a strong reliability and compliance mindset across Java/Python microservices, AWS infrastructure, and production operations, and has also built an LLM-powered RAG system over 1M+ records with emphasis on grounded outputs and observability.”
Vasanthi Koya
Senior Full-Stack/Data Engineer specializing in cloud data pipelines for legal and financial platforms
“Data/analytics engineer who built and operated a DocuSign-based real-time analytics platform end-to-end, processing 20–50k webhook events/day with ~99.5% reliability. Strong in idempotent event processing, schema-evolution-safe ingestion (raw JSON + dynamic parsing), and serving data via versioned, low-latency REST APIs with solid CI/CD and observability.”