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Vetted Algorithms Professionals
Pre-screened and vetted.
Executive Technology & Consulting Leader specializing in digital transformation and AI/ML
Junior Software Engineer specializing in full-stack and machine learning systems
Intern Machine Vision & Robotics Engineer specializing in computer vision and reinforcement learning
Mid-level Full-Stack Engineer specializing in cloud-native systems and event-driven architectures
Mid-Level Software Development Engineer specializing in AWS serverless, security, and ML platforms
Intern Data Scientist specializing in product analytics, causal inference, and NLP
Mid-level Software Engineer specializing in data platforms and full-stack systems
Junior Software Engineer specializing in backend and systems development
Mid-level Full-Stack Software Engineer specializing in AI-driven web applications
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Junior Machine Learning Engineer specializing in FinTech and scalable backend systems
Intern Full-Stack Software Engineer specializing in scalable web platforms
Junior Robotics Engineer specializing in ROS2 autonomy and embedded systems
Principal Systems & Software Engineer specializing in IVD/medical device compliance and genomics
Mid-level data and product professional specializing in AI, analytics, and growth
Mid-Level Software Development Engineer specializing in AWS edge AI and generative AI apps
Principal Software Engineer specializing in distributed systems and cloud microservices
Jiacheng Yin
Intern software engineer specializing in AI, backend systems, and cloud infrastructure
“Backend/AI systems engineer who has shipped production LLM agents focused on prompt engineering, code generation, and incident-response automation. Stands out for combining strong agent orchestration and reliability engineering with measurable business impact, including 60-70% cost reductions, 45% lower monthly LLM spend, and a 5x increase in developer iteration speed.”
Shalin Bhavsar
Mid-level Software Engineer specializing in cloud backend and distributed systems
“Built a production GenAI support agent at Amazon for FBA on-call operations, using Bedrock, Lambda, RAG, and confidence-based human fallback to safely automate ticket triage. The system materially reduced ticket volume and manual workload while improving MTTR, showing strong depth in reliable LLM agent architecture under real operational constraints.”