Pre-screened and vetted.
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
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
Mid-level Java Software Engineer specializing in backend systems and AI-integrated platforms
Junior Full-Stack Software Engineer specializing in cloud, distributed systems, and AI
Mid-level ML Engineer specializing in AI systems and LLM infrastructure
Senior Full-Stack Software Engineer specializing in scalable web applications
Senior Full-Stack Engineer specializing in Python, cloud-native SaaS, and data pipelines
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Mid-level Full-Stack Developer specializing in Java, Spring Boot microservices, and Angular
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Senior Java Developer specializing in cloud-native microservices and event-driven systems
Senior Unity/C# Developer specializing in performance, rendering, and VR
Senior Software Engineer specializing in cloud-native microservices
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 Full-Stack Software Engineer specializing in web platforms, cloud, and test automation
“Full-stack engineer with hands-on ownership of production systems, including a Kafka-based notification/alerting platform (Node.js + React) deployed on AWS with Docker/GitHub Actions, achieving ~95% email delivery reliability. Demonstrates strong operational maturity (observability, CI/CD, zero-downtime migrations) and experience shipping in ambiguous environments (SJSU project) with evolving requirements.”
Mid-level AI Engineer specializing in LLM fine-tuning, RAG, and agentic systems
“Building and deploying production in-house, domain-specific LLM chatbots for enterprises that cannot use third-party GPT tools due to internal policies. Focused on reducing latency and improving domain awareness using fine-tuning, continual learning, and advanced RAG/agent retrieval strategies, with experience orchestrating multi-agent workflows via LangChain/LlamaIndex and vector DBs (FAISS, Weaviate, Chroma).”
Intern Software Engineer specializing in AI, cloud, and backend systems
“Candidate has internship and graduate-project experience building AI agents, including a production log-analysis assistant using a lightweight agentic/RAG-style workflow with local GPT training and validation against historical logs. They also worked on Android/iOS game build and release processes in a Unity-based robot racing game environment, and highlight measurable LLM outcomes including 80% analysis accuracy, 2-5 second latency, and 50% cost reduction.”