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Vetted Go Professionals
Pre-screened and vetted.
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).”
Antoine Tan
Senior Full-Stack Software Engineer specializing in workflow automation and healthcare AI
“Backend/data engineer who has owned production Python APIs and high-throughput async workflows on AWS (FastAPI, Docker, ECS/EKS/Lambda) with mature reliability practices like idempotency, bounded retries, circuit breakers, and strong observability. Also built AWS Glue ETL into an S3/Redshift lakehouse and modernized legacy batch systems via parallel-run parity testing and feature-flagged migrations, including a SQL tuning win cutting a multi-minute query to under 10 seconds.”
Sandeep Rohilla
Principal Platform Engineer specializing in AI-driven document automation
“Backend engineer who built an event-driven, multi-service resume review system integrating AI/ML workflows. Demonstrated strong performance engineering (e.g., composite indexing dropping latency from ~600ms to ~35ms and major P95 gains) and high-throughput pipeline optimization via caching, batching, and worker concurrency tuning, with multi-tenant isolation implemented across DB and Redis.”
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.”
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Executive Technology Leader specializing in scalable SaaS platforms and engineering org growth
Senior Full-Stack Software Engineer specializing in cloud SaaS and distributed systems
Mid-level HPC AI & Software Engineer specializing in computer vision and ML for scientific data
Intern AI/ML Engineer specializing in LLM systems and cloud-native microservices
Senior Software Engineer specializing in cloud-native microservices and full-stack web apps
Senior Backend Engineer specializing in FinTech and cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in streaming media and real-time systems
Senior Software Engineer specializing in cloud-native, event-driven platforms and AI
Junior Software Engineer specializing in scalable systems and cloud infrastructure
Staff Software Engineer specializing in cloud-native microservices and event-driven systems
Mid-level Python Full-Stack Developer specializing in FinTech and real-time data/ML systems
Senior Full-Stack Software Engineer specializing in AI, cloud platforms, and SaaS
Senior Backend Software Engineer specializing in Python and AWS cloud services
Intern Software Engineer specializing in cloud infrastructure and machine learning
Staff Software Engineer specializing in scalable backend systems and observability