Pre-screened and vetted.
Junior Software Engineer specializing in full-stack development and applied ML
Mid-Level Software Engineer specializing in full-stack and cloud/DevOps automation
Mid-Level Software Engineer specializing in distributed systems and AI/ML
Mid-level Robotics Software Engineer specializing in embedded Linux and ROS2
“Robotics/embedded platform engineer who led compute provisioning and ROS2 platform development for a smart electrical panel, building a full ROS2 stack that bridges mobile app requests (via AWS IoT/MQTT) to signal-level CAN commands and returns telemetry/logs to the cloud. Demonstrated strong full-stack debugging by resolving flaky CAN traffic down to a custom PCB transceiver standby-pin grounding issue, and improved real-time behavior by refactoring middleware into C++ with timer-scheduled publishes to meet firmware watchdog expectations.”
Mid-level QA Engineer specializing in manual, automated, API, and mobile testing
Junior Full-Stack Software Engineer specializing in Node.js, Django, and cloud microservices
Mid-Level Full-Stack Software Engineer specializing in microservices and Generative AI
Mid-Level Full-Stack Developer specializing in MERN and AR/VR applications
Mid-Level Software Engineer specializing in full-stack and AI/LLM evaluation
Mid-Level Software Engineer specializing in distributed systems and cloud platforms
Junior Software Engineer specializing in backend, microservices, and cloud
Mid-level Full-Stack Engineer specializing in cloud-native, event-driven data platforms
“Backend/data engineer with hands-on production experience building Python (FastAPI/Flask) data enrichment services secured with Okta OAuth2 and monitored via Splunk/Dynatrace. Has delivered AWS event-driven and data-migration solutions (Lambda + Kafka to EKS; Glue from on-prem Oracle to S3/data lake) and modernized Informatica match/merge logic to cloud services using parallel-run parity validation and stakeholder sign-off.”
Mid-level Software Engineer specializing in AI/ML and cloud data platforms
“ML engineer with hands-on experience taking a Gaussian Process Regression-based intelligent survey timing system from build to real-world deployment, including a 3-week RCT on 120 participants and measurable improvements (15% response rate, 23% data quality). Also served as a key technical resource at CData for customer-facing demos and debugging hundreds of production issues, bridging engineering with Sales and Customer Success.”
Junior Software Engineer specializing in backend systems, AI, and cloud infrastructure
“Built multiple AI-heavy systems with a strong engineering lens on observability, reliability, and real-world usability, including an LLM gateway for auditability/failure isolation and Allyvision, an accessibility tool for visually impaired users. Also owned an end-to-end warehouse shipment tracking dashboard at Addverb Technologies that drove measurable operational gains, combining backend/data depth with frontend product execution.”
Intern Test Engineer specializing in embedded systems, robotics, and data automation
“Robotics software contributor on an SJSU Robotics Mars rover hub, where they built a C++ camera gimbal driver using the Libhal open-source library and implemented/tuned PI/PID control to achieve stable servo behavior.”
Intern Software Engineer specializing in ML applications and LLM platform engineering
“Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.”
Mid-Level Full-Stack Software Engineer specializing in AI-powered web applications
“Full-stack software engineer who shipped production systems in academic and e-commerce contexts, including a UC Irvine course recommendation platform with async Kafka-based OCR processing (Tesseract) and LangChain-driven recommendations. Strong in building polished React/TypeScript dashboards (Figma-to-implementation) and owning Python backends (FastAPI/Flask) with solid API design, caching, and AWS EKS deployments; delivered measurable impact (tripled engagement, ~50% faster processing).”