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Vetted Software Engineers in California
Pre-screened and vetted in California.
Senior Software Engineer specializing in AI platforms and cloud-native systems
Senior Full-Stack Software Engineer specializing in cloud-native platforms and Healthcare IT
Mid-level Software Engineer specializing in FinTech payments and compliance systems
Senior Software Engineer specializing in cloud-native distributed systems and AI/ML platforms
Mid-level Software Engineer specializing in backend systems, cloud, and AI
Senior Full-Stack Engineer specializing in e-commerce and financial services
Principal Salesforce Architect specializing in AI, AWS, and enterprise integrations
Senior AI/ML Engineer specializing in conversational AI and ML platforms
Mid-level AI Engineer specializing in LLMs, RAG chatbots, and cloud AI testing
Mid-level Java Backend Engineer specializing in Financial Services
Senior Software Engineer specializing in cloud-native microservices and real-time data pipelines
Senior Software Engineer specializing in AI-powered search and backend systems
Staff Software Engineer specializing in full-stack platforms and cloud-native microservices
Mid-Level Software Engineer specializing in backend microservices and cloud-native ML platforms
Director-level product engineering leader specializing in enterprise cloud transformation
Senior DevOps & Solutions Engineer specializing in CI/CD and GitHub Enterprise
Junior Software Engineer specializing in SaaS analytics and reporting
Senior Technical Program Manager specializing in SaaS product delivery
Director-level Engineering Leader specializing in SaaS, cloud, and AI/ML
Leela Tikkisetty
Mid-level Software Engineer specializing in ML platforms and cloud-native backend systems
“Software engineer with experience at Google and the City and County of San Francisco building production AI systems, including a RAG-based internal support chatbot and ML-driven ticket priority tagging. Has scaled data/ML platforms with Airflow on GCP (1M+ records/day, 99.9% SLA) and deployed multi-component systems with Docker and Kubernetes (GKE), using modern LLM tooling (LangChain/CrewAI, Claude/OpenAI, Pinecone/ChromaDB, Bedrock/Ollama).”
Anu Baluguri
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
“Full-stack engineer with production experience at Atlassian and Zoho, spanning GraphQL federation, React/TypeScript frontends, and cloud-native AWS/Kubernetes operations. Built and operated a federated GraphQL gateway with Terraform + CI/CD + observability, delivering major latency and integration-time improvements, and also designed high-volume Kafka data pipelines (10M+ events/day) with strong reliability guarantees.”
Vismay Patel
Senior AI & Machine Learning Engineer specializing in NLP, GenAI, and MLOps
“ML/GenAI practitioner with healthcare domain depth who built and deployed a production cervical-cancer EMR classification system using a hybrid rules + medical BERT approach, optimized for high recall under severe class imbalance and PHI constraints. Experienced running end-to-end production ML/LLM pipelines with Apache Airflow (validation, promotion/rollback, monitoring, retraining) and partnering closely with clinicians to calibrate thresholds and implement human-in-the-loop review.”