Pre-screened and vetted.
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Mid-Level Full-Stack Developer specializing in Java, Spring Boot, and cloud-native microservices
Senior Backend Software Engineer specializing in Python, cloud microservices, and FinTech
Mid-Level Software Engineer specializing in full-stack, cloud, and LLM systems
Junior Full-Stack Software Engineer specializing in cloud-native e-commerce and AI search
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and computer vision
Executive Engineering Leader specializing in cloud-native platforms, APIs, and DevEx
Senior Full-Stack Software Engineer specializing in Healthcare IT and FinTech integrations
Mid-Level Generative AI Engineer specializing in LLM apps, RAG, and cloud deployment
Senior Cloud Engineer specializing in AWS & Azure infrastructure, security, and automation
Mid-level Backend Software Engineer specializing in cloud-native microservices and AI automation
Junior Full-Stack & ML Engineer specializing in AI products and real-time systems
Technology Executive / Engineering Director specializing in AI-driven platform transformation
“Built a 0-to-1 iOS mobile gardening application that helps users plan, track, and harvest crops with pest control guidance, weather, and climate-zone-based planting date recommendations. Demonstrated strong customer discovery and MVP-first product execution, including a major data challenge: compiling US climate zone data for every ZIP code from widely dispersed public sources into an app-ready database.”
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and NLP
“Backend engineer who built and migrated a large-scale document intelligence platform used by legal, healthcare, and insurance clients, processing millions of pages. Experienced moving from a monolithic, LLM-heavy approach to a modular FastAPI service architecture with ML classification + RAG, strong validation/auditability, and enterprise security (JWT/OAuth, RBAC, PostgreSQL RLS) with zero-downtime incremental rollouts.”
Mid-level Python Developer specializing in cloud-native microservices for FinTech and Insurance
“Backend/data engineer who has maintained high-traffic FastAPI microservices and delivered a hybrid AWS serverless+containers platform using Terraform and GitHub Actions, with secrets managed via Secrets Manager/SSM. Also led modernization of a mission-critical 10,000+ line SAS financial reporting engine into Python microservices and built AWS Glue ETL pipelines feeding a centralized data lake.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
“Backend engineer focused on cloud analytics/cost-optimization systems, with strong AWS-centric architecture experience (serverless Lambda, ECS, CloudWatch). Demonstrated deep PostgreSQL/SQLAlchemy optimization at million-record scale (including JSONB/GIN indexing) and built production ML inference services with S3-based model versioning and Airflow retraining pipelines. Also has hands-on multi-tenant SaaS design (separate schemas + RLS) and high-throughput background processing using Celery/Redis with measurable performance gains.”
Junior Software Engineer specializing in backend systems and LLM/RAG applications
“Full-stack engineer who built a cloud storage app feature (file upload/management) with Next.js App Router + TypeScript and owned post-launch improvements. Also has internship experience building a geospatial AI chatbot: designed Postgres/PostGIS data models and optimized spatial queries, and implemented an LLM workflow orchestrated with LangChain/LangGraph plus a RAG pipeline grounded in OpenStreetMap data to reduce hallucinations.”
Junior Software Engineer specializing in cloud-native microservices and ML/LLM pipelines
“Backend-leaning full-stack engineer who ships AI-enabled products end-to-end: built CodeChat, a production internal codebase Q&A tool using RAG with Pinecone and a model-agnostic wrapper across OpenAI/Anthropic/AWS Bedrock, cutting AWS costs ~50% and latency ~45%. Also built and operated RealityStream, a Flask-based real-time forecasting API with JWT/RBAC, MLflow model versioning, and Prometheus/Grafana observability, including handling a real production latency incident via rollback, preloading, and caching.”
Senior Full-Stack Software Engineer specializing in mobile, healthcare, and UX
“Former co-founder at PreConception (acquired) who partnered closely with Operations, Legal, and Medical teams to deliver a HIPAA-compliant product meeting technical and regulatory requirements. Motivated by mission and team fit, and interested in a Venture Studio CTO path with a focus on 0-to-1 building and early validation via beta testing/PMF.”