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Vetted Test-Driven Development Professionals
Pre-screened and vetted.
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Engineer specializing in AI platforms and distributed systems
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Senior Full-Stack Engineer specializing in AI and GenAI platforms
Upender Mula
Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech
“Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.”
Sean Brennan
Senior Software Engineer specializing in backend platforms and cloud systems
“Engineer with a track record of taking on messy, high-ambiguity systems that others avoid, including a Python rewrite of Google Search Appliance's settings migrator that achieved 95% test coverage and zero bugs. Has also built internal full-stack planning tools at Capital One using React, Kotlin, and Airflow/DBT data pipelines, and brings specialized insurance analytics experience from catastrophe risk modeling for insurers.”
Senior Software Engineer specializing in distributed systems and cloud infrastructure
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AdTech analytics
SAI LIKHIT RENIKUNTA
Mid-level Software Engineer specializing in backend systems and AI platforms
“Backend/AI engineer currently at Stripe building Minions, an internal LLM-based developer agent that automates code generation, bug fixes, and PR creation. They combine strong production LLM architecture skills with reliability engineering, having improved routine PR merge times by ~40-45%, lowered post-merge bug rates by 12%, and previously built an invoice-processing pipeline that achieved 91% straight-through processing in a B2B payments context.”
Executive AI/IoT Engineering Leader specializing in full-stack and edge AI systems
Staff Full-Stack Software Engineer specializing in distributed systems and healthcare platforms
Senior Software Engineer specializing in e-commerce payments and distributed systems