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Vetted Flask Professionals
Pre-screened and vetted.
Principal/Senior Full-Stack Software Engineer specializing in scalable cloud platforms
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Senior Full-Stack Engineer specializing in cloud platforms, AI/ML, and blockchain
Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms
Mid-level Software Engineer specializing in ML-driven software testing and developer tools
Senior Software Engineer specializing in healthcare imaging and FinTech systems
Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems
Senior Software Engineer specializing in AI agents and cloud platforms
Mid-level Software Engineer specializing in backend, ML platforms, and FinTech
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms
Mid-level Software Engineer specializing in Python, distributed systems, and AI backend services
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Staff Software Engineer specializing in FinTech and scalable distributed systems
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Akshat Shah
Entry-level Software Engineer specializing in full-stack and AI systems
“Frontend-leaning full-stack engineer who described owning an artist search and detail experience across UI, backend integrations, and data modeling. They show practical strength in scalable React architecture, TypeScript safety, and performance tuning, with a product-minded approach to shipping 0→1 features quickly and iterating after launch.”
Manaswini Gogineni
Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development
“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”
Qianfan Luo
Junior Software Engineer specializing in backend systems and AI/ML pipelines
“Robotics-focused engineer with ROS 2 experience who has built and debugged real-time, distributed control/orchestration systems under production-like latency and safety constraints. Led platform changes at Persona for a real-time verification orchestration system using deterministic state machines and async workers, and has hands-on experience stabilizing multi-robot navigation/SLAM behavior using rosbag, RViz, and stress testing in simulation (Gazebo).”