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Vetted FastAPI Professionals
Pre-screened and vetted.
Anirudh Raj
Entry-Level Machine Learning & Cloud Engineer specializing in AI data pipelines
“Early-career cloud/appsec-focused engineer with hands-on experience building secure, observable microservice systems on AWS (IAM least privilege, KMS encryption, Secrets Manager, CloudWatch, ALB) and troubleshooting autoscaling-related 500s down to connection pooling issues. Also deployed heavy ML workloads on Kubernetes by decomposing diffusion/transformer services, using workload identity to eliminate static credentials, and maintaining GitOps-style deployment audit trails.”
Rene Puentes
Senior Go/Python Full-Stack Engineer specializing in cloud-native microservices
“Backend/data engineer with hands-on production experience across FastAPI microservices and AWS (Lambda, ECS, SQS, RDS, S3), plus Glue/Athena analytics pipelines. Demonstrates strong reliability and operations focus (timeouts/retries, centralized errors, CloudWatch monitoring) and measurable SQL optimization impact (25s to under 2s). Seeking fully remote senior developer role at ~$150k base.”
Saketh Kota
Mid-level Data Scientist / ML Engineer specializing in Generative AI, RAG, and MLOps
“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”
Nathan Hershey
Mid-level Full-Stack Engineer specializing in SaaS and platform development
“Engineer with startup SaaS experience in small, cross-functional teams, contributing across backend, infrastructure, frontend, and production operations. Most notable impact shared was a CI/CD redesign that cut deployment time from 2 hours to 20 minutes while maintaining production stability.”
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and AI security
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI, NLP, and predictive modeling
Intern Software Engineer specializing in AI agents, MLOps, and data engineering
Mid-level Prompt Engineer specializing in Generative AI and RAG systems
Intern Full-Stack/Backend Software Engineer specializing in distributed systems
Intern Software Engineer specializing in distributed systems and cloud microservices
Intern Software Engineer specializing in distributed systems, cloud, and LLM/RAG data platforms
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in credit risk, NLP, and fraud detection
Mid-level Data Engineer specializing in multi-cloud data pipelines and real-time analytics
Intern Full-Stack & Generative AI Engineer specializing in LLM apps and RAG
Junior Full-Stack Software Engineer specializing in cloud-native microservices
Junior AI/ML & Full-Stack Engineer specializing in LLM agents and cloud platforms
Executive Software Engineering Leader (CTO/VP) specializing in SaaS, AI/ML, and cloud platforms
Intern Full-Stack & AI Engineer specializing in LLM applications and computer vision
Mid-level Full-Stack Software Engineer specializing in Python and FinTech
Junior Full-Stack Software Engineer specializing in scalable web platforms
Mid-Level Full-Stack Software Developer specializing in FinTech and Automotive web applications