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Part-Time Career Mentor providing personalized career advice and support to data science professionals, including resume guidance, interview preparation, and industry insights. Core technologies include Python, R, SQL, machine learning, and data analytics.
HR Specialist in Whittier, CA handles recruitment, compliance, employee relations, and onboarding with bilingual (Korean/English) requirements.
Senior CRM Manager for Dynamics 365 CRM, leading business adoption, strategy, user stories, training, and collaboration with IT/external partners to realize value for a professional services organization.
Full Stack Engineer building AI-native features and agentic workflows across PHP and TypeScript for Howspace's Learning & Enablement SaaS platform.
Develop and optimize machine learning models for resource-constrained devices and smartphones using TensorFlow Lite, ExecuTorch, and ONNX. Implement MLOps pipelines for model deployment, monitor drift, and collaborate with mobile teams using Python.
Develop and enhance a business systems software platform using C#, .NET, JavaScript, and React. Work in an office-based agile team to maintain stable systems for HR and staff management functions.
A Senior Backend .NET Developer at Jobtailor is responsible for developing applications, ensuring high availability through deployment processes, and collaborating with business teams. The role involves using .NET (C#), cloud platforms (AWS, GCP, Azure), relational databases, and container orchestration technologies.
Senior .NET backend developer responsible for end-to-end delivery of REST APIs and microservices using .NET 8/9, Kubernetes/GCP, messaging (Kafka, RabbitMQ), Docker, and SQL Server/Oracle in an agile setup.
Senior Backend Developer role at Jobtailor, focusing on leading backend development with Node.js and NestJS, designing scalable architectures, leading technical governance, and managing multi-cloud (AWS/GCP) environments.
Build and maintain a SaaS workforce-performance platform using Kotlin backend and React/TypeScript frontend with relational databases.
Own and deliver AI-powered HR tools: analyze workflows, build prototypes with LLMs and low-code, and hand off validated specs to engineering to scale better jobs for students.
Manage employee onboarding and offboarding for a global HR platform company, ensuring compliance and client support while handling HR records and regional employment law.
Lead the design and implementation of scalable HR data solutions, building ETL/ELT pipelines, data models, and governance frameworks using Snowflake, SQL, and Python.
Evaluate AI coding agents on complex data engineering tasks—review model-generated ETL pipelines, data warehouses, and distributed systems for bugs and scalability issues using tools like Cursor and Claude Code.
Lead a full cloud transformation to Azure by building ETL/ELT pipelines with Azure Data Factory and Microsoft Fabric, optimizing Azure SQL Managed Instances, supporting legacy SSIS/SSAS systems, and delivering Power BI semantic models and dashboards.
Senior Data Solutions Engineer working with customers to prepare, validate, and deliver data solutions for business system implementations; analyzes, transforms, and validates customer data, ensures data quality, and supports system testing.
Full Stack DevOps Engineer building and operating modern web applications and their cloud/CI/CD infrastructure, working with JavaScript/TypeScript, React, Node.js, Docker, and Terraform.
Design, develop, and release web and mobile applications using Java/Python, React, APIs, and microservices while collaborating with product owners and supporting code merges and releases.
Lead architecture and hands-on development of Rippling's Monetization Platform in Bangalore, building distributed backend systems that power quoting, contracts, billing, payments, and revenue recognition. Primarily uses Python/Django with MongoDB.
Own end-to-end onboarding and implementation of Vertice’s AI-native procurement platform, configuring agentic workflows and integrations for enterprise customers to go live quickly.
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