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Vetted Containerization Professionals
Pre-screened and vetted.
Diego Hernandez
Entry-level Mechatronics Engineer specializing in robotics, automation, and ROS 2
“Robotics software/embedded engineer who helped build an end-to-end perception sensor platform in a two-person team, owning PCB design, ROS architecture (sensor/processing/diagnostic nodes), and documentation. Experienced integrating heterogeneous sensors over CAN with Arduino and optimizing real-time performance bottlenecks (camera and high-frequency streams) using compression, grayscale pipelines, and reduced inference frequency; also containerized the system with Docker.”
Intern Full-Stack Software Engineer specializing in AI-powered applications
Maulik Maganbhai Ghatala
Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs
“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”
Junior Full-Stack Data Engineer specializing in data pipelines and analytics
Junior Full-Stack Software Engineer specializing in SaaS and FinTech systems
Junior Full-Stack Software Engineer specializing in React/Next.js and TypeScript
Entry-Level Full-Stack Software Engineer specializing in backend systems and cloud deployment
Andrew Douangprachanh
Entry-level Full-Stack Software Engineer specializing in web and real-time applications
“Frontend-focused developer who built Brick-Verse, a React/TypeScript CRUD app combining Spring Boot, Spring Security, JWT auth, PostgreSQL, and the Rebrickable API. Stands out for handling multi-source data flow, protected user features like favorites, and practical React performance and responsive CSS challenges in a production-style project.”
Intern/Junior Software Engineer specializing in full-stack web development and machine learning
Anjali Chepuri
“Built and deployed an LLM-powered financial document processing and summarization platform at Morgan Stanley using a production RAG pipeline (PDF ingestion, embedding-based retrieval, schema-constrained JSON outputs) delivered via FastAPI microservices on Kubernetes. Drove measurable impact (40% reduction in manual review time) and improved factual accuracy for numeric fields by 30% through metadata-aware retrieval, strict schemas, and post-generation validation, with a human feedback loop from financial analysts.”
Deepika Sathia moorthi
“Robotics-focused software engineer/technical lead with Google/Android engineering experience, building automation and robotic framework architecture in C++/Python. Has hands-on experience with ROS/ROS2, SLAM/localization/mapping, motion planning, and scaling distributed robotics nodes using Docker/Kubernetes with CI/CD (Jenkins), plus REST API-based integration testing and validation.”