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Vetted JSON Professionals
Pre-screened and vetted.
greg farhadian
Senior Software Engineer specializing in cloud data platforms and Java microservices
“Backend/data engineer with experience building Kafka-driven real-time pipelines that support ML code deployment and downstream integrations. Currently migrating high-throughput mainframe (COBOL/assembly) processing to Java, using Spark/Databricks to preserve performance and employing rigorous A/B testing across dev/pre-prod/prod with years of historical data.”
Mason McBride
Junior Software Engineer specializing in AI, game theory, and blockchain protocols
“Backend engineer who built gnocal, a ~150-line stateless Go service that turns on-chain event data into standards-compliant .ics calendar feeds consumable by Apple/Google Calendar, deployed on Fly.io. Also refactored MCTS into Monte Carlo Graph Search (Python-to-Rust) using deterministic tests and state canonicalization to handle transpositions, and implemented decentralized role-based ACLs in Gno for a smart-contract web hosting network (gno.land / All in Bits).”
Abhinav Singh
Mid-Level Full-Stack Software Developer specializing in web apps and microservices
“Software engineer with 2.5 years at Amazon working on the Package Tracking page (Amazon’s most visited page), delivering new customer actions like Cancel Delivery and Buy Again within a Spring Boot-based stack. Has hands-on experience with feature-flagged rollouts (Weblab), A/B testing, and scaling/load testing for Prime Day-level traffic, and is upskilling into React while leveraging modern AI coding tools on side projects.”
Prudhvi Madhabathula
Mid-Level Full-Stack Java Engineer specializing in cloud-native web applications
“Full-stack engineer (Snowflake) who shipped an AI/LLM-powered data exploration product end-to-end, spanning Spring Boot/Python services and a polished React UI with streaming responses and robust fallbacks. Experienced operating high-scale AWS deployments (Docker/Kubernetes, SNS/SQS, RDS Postgres, CloudWatch, Jenkins CI/CD) supporting thousands to tens of thousands of concurrent users, including handling real traffic-spike scaling incidents.”
Intern Product Manager & Software Engineer specializing in data analytics and AI
Junior Software Engineer specializing in AI/ML systems and LLM-powered document automation
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Mid-Level Full-Stack Software Developer specializing in React, Node.js, and AWS
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Senior QA Automation Engineer specializing in web, mobile, and API testing
Staff Software Engineer specializing in cloud-native microservices for financial platforms
Executive Technology Leader (CTO/CIO) specializing in cloud, AI, and enterprise transformation
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and React/Angular
Mid-Level Software Engineer specializing in FinTech, Treasury, and Compliance Systems
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Staff Full-Stack Software Engineer specializing in AI-driven platforms
Engineering Manager and Staff Software Engineer specializing in ML platforms and FinTech risk
Senior QA Engineer specializing in AAA game quality engineering and Unreal Engine validation
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
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 web/mobile platforms and cloud microservices