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Vetted REST API Professionals
Pre-screened and vetted.
Staff Machine Learning Engineer specializing in LLMs and cloud-native AI platforms
Senior Software Engineer specializing in full-stack platforms and cloud services
Senior Software Engineer specializing in backend, full-stack, and data platforms
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Mid-level Backend/Distributed Systems Engineer specializing in AWS serverless architectures
Senior Software Engineer specializing in Python, cloud microservices, and conversational AI
Senior Full-Stack Engineer specializing in FinTech and fraud/risk systems
Senior Data Scientist specializing in large-scale ML systems and recommendations
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender 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
Junior Software Engineer specializing in full-stack systems and AI-powered internal tools
Staff Software Engineer specializing in distributed payments and streaming 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.”
Daniel Ram
Staff/Director-level Simulation & Computational Geometry Leader specializing in GPU physics and GCP
“Entrepreneurial builder and former founding CTO of a Y Combinator startup that was acquired. Now in the planning stage for a new venture (considering edtech, media creation, and food/"intelligent servicing"), emphasizing early design partners, rapid testing, and iteration to validate ideas.”
Kishan H
Senior Full-Stack Engineer specializing in Java microservices and cloud-native platforms
“Backend-focused engineer with Walmart Global Tech experience building shipment and seller workflow systems using Spring Boot, GraphQL, Kafka, and async processing. Stands out for improving bulk label API performance by 60-75%, designing item-level partial-failure workflows that improved user clarity, and also exploring AI-powered debugging/RCA platforms with Java, Python, LangChain, and LLM integrations.”
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.”
Pranshu Patel
Director-level Software Development Manager specializing in cloud DDoS protection
“AWS Software Development Manager leading globally deployed, production-critical DDoS protection (L3/L4) across AWS. Known for scaling teams and driving cross-org tiger-team initiatives from concept through worldwide rollout, including performance-focused Python architecture changes and a major JDK 8→21 migration while maintaining strict backward compatibility. Also led an internal SDK-like integration framework improving APIs, documentation, and onboarding for major AWS service teams.”