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Vetted API Design Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in full-stack microservices and cloud systems
Junior Full-Stack Software Engineer specializing in cloud-native healthcare applications
Senior Unity & XR Developer specializing in immersive simulation and visualization
Junior Software Engineer specializing in backend AI systems
Senior Full-Stack Engineer specializing in AI, computer vision, and real-time systems
Mid-Level Full-Stack Software Engineer specializing in backend APIs and cloud-native FinTech
Senior Software Engineer specializing in AI/ML and cloud backend systems
Mid-Level Software Engineer specializing in ML and Generative AI applications
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Junior Software Engineer specializing in full-stack cloud systems and robotics
Mid-level Python Developer specializing in backend APIs and ETL systems
Executive engineering leader specializing in SaaS platform architecture
Senior Java Developer specializing in cloud-native microservices and event-driven systems
Executive FinTech Engineering Leader specializing in core banking, payments infrastructure, and AI
Senior Software Engineer specializing in cloud-native microservices
Iskhak Ishmakhametov
Mid-level Full-Stack Software Engineer specializing in FinTech and real-time systems
“Full-stack product engineer with a strong real-time systems focus: built and rolled out a WebSocket-based notifications system (with robust reconnect/resync and event ordering protections) that cut update latency to under 200ms. Also owned a workflow automation platform backend in FastAPI (JWT/RBAC, versioned APIs, standardized errors), designed the PostgreSQL schema for workflows/tasks/executions, and operated deployments on AWS ECS Fargate with blue-green CI/CD and performance stabilization via caching and autoscaling.”
Sana Khan
Mid-Level Software Developer specializing in cloud-native microservices, iOS, and ML deployment
“Backend engineer with production ERP experience deploying microservices and improving performance/reliability using a metrics-driven approach (logs, latency, error rates). Has hands-on cloud/hybrid operations across AWS and Azure with Docker/Kubernetes, and has resolved real-world mobile sync issues by tuning timeouts/retries and reducing payload sizes. Builds configurable Python services to deliver customer-specific behavior without destabilizing the core codebase.”
Kaushik Naik Guguloth
Entry-level Software Engineer specializing in AI/ML, cybersecurity, and full-stack development
“Built end-to-end product features for a Web3 monetization platform and also shipped a privacy-first mobile accessibility app, SenScribe, using on-device sound classification and LLM summarization with zero cloud dependency. Particularly interesting for roles spanning full-stack product engineering, mobile AI, and applied ML where careful debugging, stakeholder alignment, and real-world usability matter.”
sandeepreddy bimidi
Junior Full-Stack Software Engineer specializing in scalable web services
“Software engineering intern who built and deployed a full-stack telemedicine platform (React/Node/MongoDB) used daily in a pediatric clinic, incorporating PyTorch-based predictive features. Demonstrated strong customer-facing iteration and production performance debugging—resolved a live slowdown by indexing/optimizing MongoDB queries and adding caching, improving response times by ~50%.”