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Vetted gRPC Professionals
Pre-screened and vetted.
Mid-level Backend Software Engineer specializing in microservices and cloud APIs
Intern Machine Learning Engineer specializing in recommender systems and financial risk modeling
Senior Full-Stack & AI/ML Engineer specializing in cloud-native platforms and LLM systems
Junior Multimodal AI & Systems Engineer specializing in robotics and cloud infrastructure
Intern Software Engineer specializing in cloud governance and distributed systems
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations
Hongxi Chen
Intern Software Engineer specializing in distributed systems and backend infrastructure
“Backend engineer with deep experience building event-driven logistics systems (orders, warehouse execution, real-time delivery tracking) using Spring Boot/PostgreSQL/Redis and strong observability (Prometheus/Grafana). Led a zero-downtime migration from monolithic MySQL to a sharded architecture for ~2M users with dual-write, checksum validation, and fast auto-rollback, and has strong security expertise including PostgreSQL RLS for multi-tenant SaaS and robust OAuth/JWT handling.”
Akash Patil
Mid-Level Software Engineer specializing in backend systems and LLM/RAG applications
“Backend/AI engineer at Intuit who built a production AI-powered case assistant for support agents (FastAPI on AWS EKS) combining Postgres case data, OpenSearch retrieval with embedding reranking, and internal LLMs. Improved peak-season reliability by diagnosing P95/P99 timeout spikes and cutting P95 latency from ~800ms to <400ms via composite indexing, keyset pagination, connection pool tuning, and caching, while adding grounded-generation guardrails (evidence packs, confidence thresholds, fallbacks, human-in-the-loop).”
Haider Shah
Principal AI/ML Architect specializing in GenAI, LLMs, RAG, and Agentic AI
“FinTech/AI engineer who has shipped an end-to-end discrepancy-detection product for financial managers using Next.js, FastAPI/GraphQL, Pinecone, and AWS (with dev/staging/prod, observability, A/B testing, and documentation). Also built an AI-native “AI Genesis” system with agentic cyclic workflows, routing, and tool use, and has experience modernizing legacy systems via the strangler fig pattern while coordinating with senior stakeholders on a 5G autonomous simulation platform.”
Intern Robotics & Reinforcement Learning Engineer specializing in ROS2 manipulation and SLAM
Mid-Level Software Development Engineer specializing in cloud-native backend systems
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Senior Software Engineer specializing in backend microservices and AI/ML integrations
Senior Full-Stack Python Engineer specializing in cloud microservices and MLOps
Senior Full-Stack Java Developer specializing in microservices, cloud, and real-time systems
Mid-level AI/ML Engineer specializing in NLP, MLOps, and compliance-focused ML systems
Mid-level Full-Stack Developer specializing in Java microservices and React on AWS