Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in healthcare imaging and GenAI/LLM systems
“Built and deployed a production LLM/RAG clinical document understanding and summarization system for healthcare, focused on reducing manual review time while meeting strict accuracy, latency, and compliance needs. Demonstrates strong MLOps/orchestration depth (Airflow, Kubernetes, Azure ML Pipelines) and a rigorous approach to hallucination mitigation through layered, source-grounded safeguards and stakeholder-driven requirements with physicians/compliance teams.”
Mid-Level Front-End Developer specializing in enterprise design systems
“Frontend engineer who led Bentley’s flagship design system from a greenfield codebase to adoption across every major Bentley product, emphasizing maintainability and high UX polish. Built complex React+TypeScript interfaces like a Figma/Photoshop-style layers tree, applying advanced performance techniques (skeleton-first loading, transitions, memoization, deferred rendering) and iterative feature-flagged rollouts driven by user feedback.”
Mid-Level Software Engineer specializing in AI automation and full-stack systems
“Software engineer and University of Chicago graduate teaching assistant who built a full-stack internal analytics dashboard (React/TypeScript + Node/Express) and worked in RabbitMQ-based microservices with Prometheus/Grafana observability. Also created an AI-powered ERD diagram generator (React + MermaidJS + OpenAI) adopted by students to save hours on database assignments, using validation loops to ensure valid Mermaid output.”
Mid-Level Full-Stack Software Engineer specializing in Java, React, and AWS
“Backend engineer focused on cloud-native microservices on AWS, owning Python/Flask ingestion services integrated with S3/Lambda and deployed via Docker/Kubernetes with CI/CD. Has led phased migrations from manually managed EC2 setups to automated CloudFormation + pipeline-driven releases, and designed event-driven near-real-time pipelines with idempotency, retry/backoff, and strong observability.”
Mid-Level Backend Software Engineer specializing in Go microservices and Kubernetes DevOps
“Backend/DevX engineer with startup experience who built internal JavaScript SDKs for POS integrations, including a daily GMV calculation feature standardized across multiple POS providers. Strong in performance debugging (used Jaeger to resolve legacy WebSocket bottlenecks) and developer enablement—built a cronjob migration tool (ArgoWorkflow to internal platform) with documentation that let teams migrate in ~30 seconds, plus handled on-call and internal support.”
“Software engineer with healthcare domain experience (patient monitoring and provider systems) who improves reliability and performance in complex React/Flask applications. Led API standardization for shared internal React utilities using an RFC + deprecation strategy, and optimized a live WebSocket dashboard to handle 3000+ concurrent clinics while reducing client CPU usage. Strong in production debugging, data ingestion validation, and operational improvements like structured logging and alerting.”
Staff Software Engineer specializing in distributed systems and high-concurrency APIs
“Full-stack engineer in an insurance + telematics org who built a 0→1 multi-agent, AI-driven mobile regression execution system integrating Jira and n8n, emphasizing determinism (schema-validated outputs), traceability (state-machine style step archives), and scalable device scheduling. Also designed an event-driven microservices architecture using Kafka with standardized API/event contracts and has hands-on incident response experience improving resilience via rate limiting, circuit breaking, caching, and idempotency.”
Mid-level Software Engineer specializing in automation, AI agents, and full-stack web development
“Full-stack engineer who built and shipped an AI-powered internal knowledge search system for APL Services, including document ingestion into a vector database, a Python backend, and a React/TypeScript chat-style UI with source citations for trust. Improved production reliability by migrating from Streamlit Cloud to GCP with containerization and scaling controls to eliminate cold-start friction; also co-led a Mensa chapter website redesign as Digital Communications Committee co-chair.”
Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems
Mid-level Software Engineer specializing in cloud microservices and FinTech systems
Mid-level Full-Stack Software Developer specializing in Java/Spring and cloud microservices
Mid-level Backend Software Engineer specializing in distributed systems and applied AI automation
Mid-Level Software Engineer specializing in backend systems, cloud, and DevOps
Mid-level Backend Engineer specializing in cloud-native microservices and real-time streaming
Staff Software Engineer specializing in full-stack and backend systems
Junior Software Engineer specializing in backend, cloud infrastructure, and LLM systems
Senior Backend Engineer specializing in Kubernetes, Python, and real-time streaming
Principal Software Engineer / Solutions Architect specializing in backend, cloud, and distributed systems
Senior Full-Stack Software Engineer specializing in cloud-native web and mobile apps
Intern Software Engineer specializing in real-time systems and AI-backed backend services
Junior Backend Engineer specializing in API-driven FinTech and analytics systems
Entry-Level Game/Software Developer specializing in Java modding and Unreal Engine systems
Mid-level Software Engineer specializing in backend, ML, and cloud systems
Mid-level Data Analyst and ML Engineer specializing in analytics, dashboards, and model deployment