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Vetted PostgreSQL Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior Software Engineer specializing in Python, cloud microservices, and conversational AI
Mid-level Backend/Distributed Systems Engineer specializing in AWS serverless architectures
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Intern Software Engineer specializing in ML and data pipelines
Senior Full-Stack Engineer specializing in FinTech and fraud/risk systems
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Intern Machine Learning Engineer specializing in systems, kernels, and GPU computing
Mid-Level Software Engineer specializing in Ads Serving and Machine Learning Systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Software Engineer specializing in AI/ML, search, and scalable cloud platforms
Staff-level Software Engineer specializing in .NET microservices for FinTech and Healthcare
Mid-level Software Engineer specializing in FinTech backend systems
Mujahid Shaik
Mid-level Full-Stack Software Engineer specializing in scalable FinTech and analytics platforms
“Senior full-stack engineer with 5 years of experience across Bank of America, AT&T, and NextAI/XAI, building cloud-native, high-availability products spanning React, Node, Java, Kotlin, Python, and AWS. Particularly compelling for teams needing someone who can own architecture, implementation, DevOps, and UX polish end-to-end—from a real-time loan eligibility platform handling 50,000+ daily requests to live event dashboards that improved operations and helped drive $250K in ARR.”
Brian Sanders
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
Christopher Kanten
Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms
“Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.”
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”