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Vetted Flask Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in LLM infrastructure and AI inference platforms
Senior Full-Stack Engineer specializing in Python APIs and cloud platforms
Senior Software Engineer specializing in cloud platforms and healthcare AI
Staff Software Engineer specializing in FinTech and distributed systems
Senior Full-Stack Engineer specializing in Python back ends and cloud-native systems
Senior Full-Stack Engineer specializing in AI platforms and distributed systems
Senior Full-Stack Software Engineer specializing in cloud storage and developer tooling
Senior Full-Stack Engineer specializing in frontend-heavy FinTech and marketplace platforms
Senior Python Developer specializing in FinTech and RegTech payment systems
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Senior Full-Stack Software Engineer specializing in cloud-native web platforms and FinTech
Senior Software Engineer specializing in AI infrastructure and distributed systems
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Backend Software Engineer specializing in cloud platforms and event-driven systems
Nathan Telles
Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services
“Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).”
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.”
Sudheer Bommichetty
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).”
Senior Backend/Data Engineer specializing in ads event processing and attribution
Senior Backend/Full-Stack Software Engineer specializing in cloud microservices and APIs