Vetted WebSockets Professionals

Pre-screened and vetted.

TP

Senior Data Engineer specializing in cloud-scale data pipelines and legal data systems

Austin, TX7y exp
NVIDIAUniversity of Central Missouri
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JW

Senior AI/ML Engineer specializing in conversational AI and contact center automation

Alpharetta, GA10y exp
PegasystemsGeorgia Tech
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SV

Mid-level Software Engineer specializing in AI platforms and backend systems

Raleigh, NC4y exp
McKinsey & CompanyGeorge Washington University
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SS

Intern Software Engineer specializing in cloud, DevOps, and LLM-powered tooling

Brazil2y exp
AmazonUC Davis
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ZM

Senior Backend Engineer specializing in cloud-native microservices and real-time streaming

Boston, MA13y exp
Function HealthCornell University
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SK

Junior Software Engineer specializing in cloud infrastructure and database tooling

Brooklyn, NY2y exp
PayPalNYU
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MM

Mid-Level Software Engineer specializing in backend microservices and cloud-native ML platforms

California, USA6y exp
SnowflakeSan José State University
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BB

Mid-level Full-Stack Software Engineer specializing in Python, React, and FinTech

New Jersey, USA3y exp
DatabricksPace University
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AM

Mid-level Full-Stack Developer specializing in microservices and AWS DevOps

Seattle, WA5y exp
JPMorgan ChaseCleveland State University
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MW

Senior Software Engineer specializing in cloud platforms and real-time collaboration

Remote13y exp
QuipMichigan Technological University
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HK

Mid-level UI Developer specializing in real-time dashboards for FinTech and Healthcare

Miami, FL5y exp
CitadelLindsey Wilson College
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VA

Senior Data Engineer specializing in cloud-scale pipelines and legal data utilities

Austin, TX6y exp
IBMUniversity of North Texas
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YD

Mid-level Full-Stack Developer specializing in cloud-native FinTech and Healthcare IT

Remote, USA4y exp
StripeAuburn University
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NK

Nandini Kosgi

Screened

Mid-level AI/ML Engineer specializing in LLMs, RAG, and fraud/risk analytics in Financial Services

PA, USA4y exp
Capital OneRobert Morris University

Built and shipped a production-grade GenAI Fraud & Compliance Investigation Copilot for a large US bank, integrating OCR docs, structured data, and prior case history to generate grounded, regulator-friendly summaries and red-flag highlights. Demonstrates strong end-to-end LLM systems engineering (LangGraph/LangChain, hybrid retrieval with FAISS+BM25, guardrails/citations, streaming/latency optimization) plus rigorous evaluation and close partnership with compliance stakeholders.

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Sarath Dunga - Mid-level Full-Stack Developer specializing in cloud microservices and AI/ML integration in Remote, USA

Sarath Dunga

Screened

Mid-level Full-Stack Developer specializing in cloud microservices and AI/ML integration

Remote, USA4y exp
eBayArizona State University

Full-stack engineer (~3 years) with eBay production experience building and operating high-scale, event-driven Python microservices for order processing and AI-powered recommendations (Kafka/Redis/FastAPI on AWS with Prometheus/Grafana). Also delivered polished React+TypeScript analytics dashboards and designed high-concurrency PostgreSQL schemas with significant latency reductions. Recently built AI-agent orchestration and an interactive node-based requirements dashboard for Siemens Polarion via MCP servers, improving user interaction by ~17.8%+.

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Jason Shankel - Executive Software Engineer/CTO specializing in real-time 3D, game engines, and BIM platforms in San Francisco, CA

Jason Shankel

Screened

Executive Software Engineer/CTO specializing in real-time 3D, game engines, and BIM platforms

San Francisco, CA28y exp
HedralUCLA

Game/interactive systems engineer with shipped Unity/C# work (including performance gains on iOS) and experience building creator-facing tooling like a plain-language level scripting system. Also implemented an OpenAI-powered UGC dialogue/event generation pipeline with offline fallback, and built multiplayer collaborative editing in Unreal for an architectural drafting product using checksum + delta synchronization.

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HK

Mid-level Full-Stack Software Engineer specializing in cloud and data platforms

Boston, MA5y exp
Northeastern UniversityPenn State University

Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.

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PP

Senior Backend Software Engineer specializing in cloud, microservices, and AI systems

Richardson, TX8y exp
The University of Texas at DallasUniversity of Texas at Dallas

Built an AI-powered job outreach application for his own job search and took it from idea to production use, owning architecture, FastAPI backend, retrieval/generation pipeline, frontend workflow, deployment, and iteration. Especially compelling for teams needing a pragmatic full-stack engineer who can turn LLM-based product ideas into usable, maintainable tools with measurable workflow impact.

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AD

Atharva Dani

Screened

Mid-level Full-Stack Engineer specializing in React and Go applications

California, USA3y exp
Arista NetworksBITS Pilani

Engineer with hands-on experience using AI coding tools like Claude Code and Augment in daily development, combined with real-world distributed systems work at Arista Networks. Built or worked on a Go-based platform that separated RBAC, audit logging, and provisioning into asynchronously communicating services, enabling scalable and independently evolving access-control workflows.

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Devika gade - Mid-level Full-Stack Developer specializing in FinTech and cloud-native applications in Remote, USA

Devika gade

Screened

Mid-level Full-Stack Developer specializing in FinTech and cloud-native applications

Remote, USA4y exp
PlaidChristian Brothers University

Full stack developer with strong implementation ownership across cloud deployments, integrations, and AI-powered support automation. They have put LLM/RAG workflows into production with measurable impact—cutting first response time by nearly 40%—and show unusual depth in debugging non-deterministic AI incidents, improving observability, and turning messy document inputs into reliable API-driven pipelines.

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SP

Sneha Patil

Screened

Mid-level Financial Analyst specializing in FP&A, forecasting, and regulatory reporting

New York, NY5y exp
JPMorgan ChaseUniversity of Texas at Arlington

Backend-focused software engineer (4+ years) across e-commerce, banking, and healthcare who owned mission-critical checkout/order management end-to-end and improved peak-traffic success rates via resiliency patterns (timeouts/retries/caching) and data-driven iteration. Also built and shipped real-time operational dashboards (React/TypeScript + Spring Boot) using WebSockets and event-stream integrations, with strong experience in Kafka/RabbitMQ-style messaging at scale.

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