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Vetted Distributed Systems Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in distributed systems and private cloud automation
Mid-level Full-Stack Engineer specializing in FinTech and real-time distributed systems
Mid-level Full-Stack Developer specializing in FinTech microservices
Mid-level Java Full-Stack Developer specializing in microservices and cloud-native systems
Mid-level Backend Software Engineer specializing in cloud-native microservices and AI automation
Senior Software Engineer specializing in Java/Spring Boot microservices for banking and healthcare
Junior Data Scientist / ML Engineer specializing in applied ML, data pipelines, and full-stack systems
Senior Full-Stack Software Engineer specializing in React, React Native, and Spring Boot
Mid-Level Software Engineer specializing in cloud microservices and GenAI RAG systems
Principal Site Reliability Engineer specializing in multi-cloud platforms, observability, and AIOps
Software Engineering Manager specializing in FDA-compliant medical device software
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Aashish Pokhrel
Mid-level DevOps Engineer and CS researcher specializing in cloud automation and ML/quantum tooling
“Research-focused software engineer who builds performance-critical Python/C++ systems emphasizing correctness, state-transition precision, and distributed coordination. Created an automated simulation-based testing/validation framework for quantum programs that caught subtle logic/type errors early, reduced debugging time, and improved developer confidence through strong observability and scalable test generation.”
Alan Lam
Engineering Manager & Senior Full-Stack Engineer specializing in e-commerce platforms
“Backend-focused JavaScript/Node.js engineer with e-commerce domain depth from Decathlon, working on foundational microservices for order management, inventory, and fulfillment integrations. Led an infrastructure redesign and shipped a Shopify-based persistent cart experience, diagnosing early production issues via monitoring/log analysis and improving reliability through stronger session persistence and fault-tolerant architecture.”
Apurva Banka
Mid-level Full-Stack & AI Engineer specializing in cloud, data platforms, and LLM automation
“Software engineer/product builder who has owned an agentic affiliate lead-gen platform end-to-end (Django + React/TypeScript) and deployed it on Kubernetes in anticipation of 10x user growth from ~5K DAUs. Also has healthcare claims microservices experience using Kafka, including hands-on performance tuning to address consumer lag and broker pressure, and built an internal downtime alerting tool adopted across the organization.”
Bhavya Surana
Junior Software Engineer specializing in distributed systems and AI automation
“Backend engineer/technical lead with experience building and operating real-time blockchain analytics systems at Merkle Science. Owned high-traffic Django/DRF services and Kafka streaming pipelines processing millions of events daily, with deep focus on performance (N+1 fixes, indexing, caching) and reliability (DLQs, retries, monitoring). Also led containerization and Kubernetes/GitOps-style CI/CD on Google Cloud, including a migration off Google App Engine to reduce cost and improve scalability.”