Pre-screened and vetted.
Junior AI/ML Engineer specializing in GenAI, RAG, and full-stack ML systems
“Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.”
Mid-Level Software Engineer specializing in Healthcare Data Platforms
“Backend/ML engineer with healthcare domain experience building secure Medicare/Medicaid data APIs and real-time patient risk scoring. Shipped an end-to-end ML pipeline (scikit-learn/XGBoost) served via SageMaker and integrated into Flask APIs, with strong production reliability practices (Kafka schema validation, regression replay, observability, drift monitoring, and human-in-the-loop guardrails).”
Entry-level Software Engineer specializing in AI/ML and full-stack systems
“Internship-built full-stack systems spanning HR employee-record portals and internal data-quality dashboards (Flask + SQL + React), emphasizing data integrity and rapid MVP iteration. Also implemented Flask microservices with RabbitMQ for distributed task processing, addressing duplication/ordering issues with idempotency, durable queues, and correlation-ID logging; delivered quantified productivity gains for HR teams.”
“Full-stack engineer with deep startup experience (pre-seed through IPO/SPAC) currently building a Next.js/TypeScript SaaS sports analytics platform with a complex Postgres-based entitlement/ACL system. Has delivered measurable UX/business impact (35% retention lift, 40% volume increase) and built production-grade daily ETL + model training/inference workflows with validation and checkpointing for reliability.”
Mid-level Full-Stack Engineer specializing in web platforms and automation
“Full-stack product engineer who has built both a production-grade React/Next.js analytics platform and a Stripe-based subscription system end to end, with measurable business impact including churn reduction, reporting automation, and cost savings. Also stands out for 0-to-1 work in the digital art space, where they built an AI-powered cataloguing and delivery pipeline over 30TB of assets using computer vision, Shopify, and cloud infrastructure.”
Senior Full-Stack Software Engineer specializing in Python microservices and cloud platforms
Mid-level Software Engineer specializing in cloud microservices and ML systems
Mid-level ML & Full-Stack Engineer specializing in LLM systems and RAG
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI
Mid-Level Full-Stack Software Engineer specializing in cloud-native security & compliance platforms
Junior Software Engineer specializing in AI-driven full-stack systems
Mid-level Data Scientist / AI Research Engineer specializing in LLMs, RAG, and applied ML
Intern Backend Developer specializing in AWS serverless and distributed systems
Mid-Level Software Engineer specializing in cloud platforms, search/LLM systems, and payments
Mid-Level Backend Engineer specializing in scalable microservices and event-driven systems
Mid-level Software Engineer specializing in cloud microservices and AI search
Mid-level Frontend Engineer specializing in React, micro-frontends, and AWS
Mid-level Software Engineer specializing in Java/Spring microservices on AWS
Software Engineer specializing in cloud-native backend systems and AI/ML
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React microservices