Vetted WebSockets Professionals

“Frontend engineer with experience spanning Amazon Seller Central, Shoptaki, and TCS, focused on turning complex, dynamic workflows into scalable browser-based systems. Particularly strong in schema-driven and metadata-driven UI architecture, including AI-powered analytics interfaces and compliance platforms where adaptability, consistency, and trust are critical.”

“Frontend/platform engineer with unusually strong depth in real-time data systems, observability, and API architecture across Adobe, Macy's/Bloomingdale's, and ASU. They’ve owned high-scale product surfaces end-to-end, from secure GraphQL/REST and WebSocket design through deployment, while also driving platform-wide standards adopted across 8+ product surfaces and 6 teams.”

Aakash Khepar

Screened

Mid-level Full-Stack AI Engineer specializing in agentic AI systems

Tempe, AZ4y exp

“AI/full-stack builder with hands-on experience shipping healthcare, career-tech, nonprofit, and fintech products, spanning speech AI, browser extensions, agentic RAG systems, and enterprise ML monitoring. Stands out for combining strong technical depth with measurable outcomes, including reducing clinical call WER from 26% to 3%, building safe tool-using agents with rollback/RBAC, and delivering zero-to-one multi-tenant platform features in ambiguous environments.”

“Software engineer with Intuit experience shipping an end-to-end real-time financial insights product on AWS, using event-driven architecture with Kafka and Spark Streaming to process millions of records with low latency. Also delivers customer-facing React + TypeScript dashboards and has hands-on production operations experience, including resolving a database scaling incident via read replicas, query tuning, and connection pooling.”

“Backend engineer who built a Logistics-as-a-Service platform in Go, proactively refactoring a monolithic REST service into gRPC microservices to improve performance and maintainability. Led a 3-person team with disciplined code reviews, Dockerized DB migrations, and a canary-style rollout (5% traffic) monitored for latency and failures; also implemented JWT/OAuth2 RBAC and production-minded edge-case handling in an ordering system.”

“Software engineer with deep experience in real-time payments and event-driven microservices. Built a React/TypeScript + Spring Boot system using RabbitMQ, and created an internal operations dashboard that improved visibility into message-processing workflows for engineering, support, and SRE. Strong in experimentation-driven product iteration (feature flags/A-B tests) and in scaling reliability via idempotent consumers and end-to-end observability.”

“Built and productionized an NLP-powered customer support assistant at JPMorgan Chase for digital banking, focused on reducing response time for repetitive client queries. Strong in real-world AI deployment challenges—sensitive data handling, low-latency FastAPI services, and AWS/Kubernetes operations with CI/CD—plus a metrics- and guardrails-driven approach to reliable AI workflows.”

“Full-stack engineer (backend-led) with recent experience building enterprise workflow orchestration and billing/payment platforms at Intuit using Java/Spring Boot (WebFlux), Kafka, Postgres/Redis, and React/TypeScript. Has operated at high scale (reported ~1200 RPS during month-end billing) and focuses on event-driven microservices, real-time UI updates via streaming, and disciplined API evolution with contract testing.”

“Backend/platform engineer with payments domain experience, having owned core services for MasterCard’s global card tokenization and settlement platform. Built Django/Celery microservices plus Kafka/Redis real-time fraud streaming, delivering 27% latency improvement, sub-100ms fraud checks, and 18% fewer false positives. Strong DevOps/IaC background across Kubernetes, AWS ECS, Terraform, GitHub Actions, and GitOps practices for high-scale transaction systems (including UPI at PhonePe).”

“Built a lightweight internal JavaScript analytics tracker capturing user interactions (clicks, page views, custom events) with debounced batching, automatic session tracking, and offline event caching via a localStorage-backed append-only queue. Demonstrates practical performance optimization mindset (profiling, memoization/caching) and React performance tuning.”

Satwik Alla

Screened

Mid-level Full-Stack Software Engineer specializing in scalable APIs and real-time AI apps

United States of America3y exp

“Lead software engineer (3+ years) who built and scaled an AI product backend at Cosmo AGI from the ground up using FastAPI/Postgres/Redis/vector DB, targeting sub-200ms latency and supporting 1000+ active users. Strong in production-grade security and observability (OAuth/JWT, RBAC, Postgres RLS, Prometheus/Sentry), plus DevOps automation (Docker, GitHub Actions, blue-green deploys) with measurable impact on uptime, incidents, engagement, and deployment speed.”

“Backend/data engineer with experience at Citi and Elevance Health, building end-to-end pipelines and data services in regulated, high-volume environments. They combine Python, SQL, .NET, Azure Functions, and strong observability/reliability patterns to improve processing speed, reduce manual effort, and maintain high uptime across financial and healthcare data platforms.”

“ML/LLM systems engineer who has owned AI support automation products end-to-end, including ServiceNow-integrated incident routing, RAG-based resolution suggestion systems, and production stabilization. Stands out for combining hands-on platform work across PySpark, AWS Glue, FastAPI, Kubernetes, and Pinecone with measurable operational impact, including 30-35% MTTR reduction and 25-30% improvement in first-touch resolution.”

“Frontend-focused product engineer from TrialTrace who owned features end-to-end across product decisions, architecture, implementation, and testing. Strong in TypeScript/React applications with complex data visualization and dashboarding, including refactoring core coordinate logic, building filter-state architecture, and shipping fast user-driven features.”

“Upcoming IIT KGP graduate with production-level frontend experience at Tryp.com, where they co-owned a sophisticated browser-based travel booking interface for global users. Stands out for combining React/TypeScript product work with unusually strong browser rendering and performance optimization skills, plus evidence of measurable UX and load-time improvements.”

“Engineering director and former front-end engineering manager with a strong blend of people leadership, UX/design-system ownership, and hands-on technical depth. At Siemens, they led a 15-person US/Europe team through a SaaS-era design-system transformation, winning over resistant product teams and exceeding adoption goals; at Intellimize, they solved legacy-browser constraints with a custom TypeScript-based build pipeline that improved quality, morale, and user experience.”

Pujan Parikh

Screened

Staff Front-End Engineer specializing in enterprise cloud and AI-driven applications

Redwood City, CA8y exp

“Frontend-leaning architect with deep React/TypeScript expertise who has repeatedly owned platform-level problems across Oracle Health, Oracle Cloud, and Veritas. Stands out for building cross-plugin routing standards for a next-gen EHR, high-scale real-time observability dashboards, and even stepping into backend/AI infrastructure design with Kafka- and RAG-based systems.”

“Built and shipped AI-powered fraud investigation and risk dashboard features at Barclays, combining full-stack engineering with RAG-based LLM systems in a compliance-sensitive environment. Stands out for pairing explainable AI architecture with measurable business impact: improving fraud detection accuracy by 18% while reducing analyst investigation time by 14%.”

“Full-stack engineer whose strongest hands-on work is a self-built real-time collaborative code editor spanning React, Node.js, Express, and WebSockets. They stand out for owning both product UX and backend synchronization challenges, with a clear bias toward simplicity, low-latency collaboration, and modular architecture in early-stage product building.”

“Robotics software engineer with autonomous driving lab experience at UCSD, building and optimizing ROS2 perception and control pipelines (camera-based real-time object detection) with a strong focus on low-latency performance and robust message interfaces. Also brings production deployment experience from Hewlett Packard Enterprise, using Docker and Kubernetes for containerized environments and deployment pipelines.”

“Backend engineer with strong AWS/CI/CD experience (multi-repo deployments, Lambda + core app, immutable ECR and image promotion) and a published master’s thesis building an ML framework for Solar PV energy prediction and CO2 reduction impact modeling using ensemble and meta-learning approaches benchmarked against SAM.”

“Infrastructure-leaning engineer who has built real-time ML systems end-to-end: a Jetson-deployed adaptive Whisper ASR service (Flask + WebSockets, React/TS UI) and a high-throughput Postgres schema for live transcription. Also delivered customer-facing AI billing/OCR improvements for a dental startup (Dentite), boosting OCR performance by 38%, and has experience instrumenting open-source ML deployment stacks to add infrastructure visibility.”

Rui Cheng

Screened

Mid-level Software Engineer specializing in autonomous driving simulation and 3D mapping

5y exp

“Founding software engineer who built an autonomous-vehicle 3D digital twin using Unreal Engine 5 and CARLA, owning core simulator logic (traffic/scenarios/weather) and a ROS 2-based pipeline to record synchronized multi-sensor data (RGB/depth/segmentation/LiDAR/IMU/GPS). Also implemented distributed synchronization patterns (server + client prediction) using FastAPI and WebSockets; seeking roles with H1B transfer and targeting ~$110k.”

“Full-stack engineer with strong enterprise delivery experience across manufacturing and semiconductor use cases, owning deployments from discovery through post-launch support. Stands out for combining traditional product engineering with applied GenAI workflows and data pipeline reliability work, including a manufacturing app that reportedly saved a Fortune 500 customer about $6M and an AI chat panel adopted by 70% of pricing analysts.”