Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in FinTech and Healthcare IT
Mid-level Python Developer specializing in web APIs and cloud deployments
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Mid-level Full-Stack Developer specializing in modern web apps and cloud platforms
Intern Full-Stack Software Engineer specializing in cloud, microservices, and ML/NLP
Mid-Level Software Engineer specializing in cloud microservices and AI automation
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems
Senior Full-Stack Engineer specializing in Python back-end systems and scalable web apps
Mid-Level Full-Stack Software Developer specializing in modern web apps
“Product-focused full-stack builder who has shipped and operated multiple production apps from scratch, including an e-commerce bakery delivery scheduler (with concurrency controls and timezone handling) and a real-time passenger music-request system for Lyft rides that hit and resolved YouTube API rate-limit scaling issues via debouncing and caching. Strong in React+TypeScript and Node.js/TypeScript backends, with solid PostgreSQL/PostGIS data modeling and performance tuning.”
Senior Full-Stack & Machine Learning Engineer specializing in scalable SaaS and cloud AI
“Frontend engineer who led an enterprise self-serve analytics dashboard end-to-end using a micro-frontend React/TypeScript architecture with strong integration discipline (contracts, CI gates, ADRs). Demonstrated measurable performance wins (35% faster LCP) through code splitting, lazy loading, and tighter Redux subscriptions, and uses feature flags plus automated E2E coverage for controlled rollouts.”
Mid-Level Software Engineer specializing in Java microservices and event-driven systems
“Backend-focused engineer with experience spanning research and healthcare: owned a Python/SQL data pipeline that transformed vulnerability-fix code data from SQLite into model-ready JSON for LLM analysis. Also deployed Dockerized Spring Boot microservices to Kubernetes with Jenkins CI/CD and built Kafka-based real-time event streaming (appointment/report events) with idempotent consumers to avoid duplicate processing.”
Mid-level AI/ML Engineer specializing in anomaly detection, data tooling, and cloud-native systems
“Backend/platform engineer who built an LLM-driven QA automation system (“mockmouse”) using a Flask orchestration microservice, Socket.IO real-time updates, Redis caching, and strict Pydantic schemas to turn prompts into reliable action graphs and automated browser tests. Has hands-on Kubernetes delivery experience (Docker/Helm/Jenkins) and has supported large migration programs, validating ETL cutovers with 1M+ synthetic records and rigorous output comparisons; also built event-driven monitoring/anomaly detection streaming into Grafana.”