Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in Agentic AI and Cloud Platforms
Mid-level Full-Stack Python Developer specializing in FinTech and real-time payments
Mid-level Customer Success Engineer specializing in application security and FinTech integrations
Mid-Level Full-Stack Software Engineer specializing in React, Node.js, and AWS
Intern .NET Developer specializing in backend APIs and Azure cloud services
Executive Startup Founder & Chief Architect specializing in AI, cloud platforms, and security
Mid-level Full-Stack Developer specializing in cloud-native web apps
Mid-level Full-Stack Software Engineer specializing in cloud-native systems and GenAI
Executive Enterprise Architect specializing in cloud modernization and business systems
Mid-level Software Engineer specializing in backend services and data engineering
Mid-level Software Engineer specializing in Java microservices and full-stack development
Mid-level Full-Stack Software Engineer specializing in type-safe systems
Mid-level Software Engineer specializing in backend systems and healthcare IT
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Senior Java Full-Stack Developer specializing in microservices and cloud platforms
“Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.”
Senior Software Development Engineer specializing in backend systems and data pipelines
“Backend-focused engineer with healthcare and finance experience (Cardinal Health, JPMorgan) who has owned end-to-end data flows powering dashboards, emphasizing strong validation/data quality and measurable frontend performance gains. Has shipped Spring Boot REST APIs with versioning and Swagger docs, and has stood up an MVP task management system with GitHub Actions CI/CD, Docker, and AWS EC2 deployment.”
Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures
“Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.”
Intern Software Engineer specializing in full-stack development and applied AI
“Internship experience building an end-to-end medical AI pipeline that extracts and normalizes messy medical PDFs, fine-tunes BioBERT to classify tumor-related statements (including negation/ambiguity handling), and integrates image-model outputs (MedSAM/GroundingDINO) for tumor localization and classification. Also worked on an LLM/RAG system to draft IPO prospectuses using retrieved regulatory/financial sources (including SEC EDGAR) with structured prompts to reduce hallucinations.”
Senior Software Engineer specializing in cloud-native microservices and healthcare integrations
“Backend engineer at Cerebrone.ai building cloud-native Flask microservices for an AI-driven automation platform on GCP (Cloud Run/App Engine), including dedicated inference services integrating OpenAI and internal ML pipelines. Demonstrated strong performance and scalability wins across Postgres/SQLAlchemy optimization, multi-tenant (healthcare/HIPAA-grade) data isolation, and high-throughput background processing with Celery/Redis/RabbitMQ, with multiple quantified latency/CPU/throughput improvements.”