Staff AI Full Stack Engineer

Chris (JunQing) Ma

Staff AI/ML Software Engineer

San Jose, CA +1-408-***-**** *******.**@*****.*** linkedin.com/in/chris-ma-107a81151

SUMMARY

AI and full-stack software engineer with experience building and productizing autonomous and agentic AI systems. Most recently at ServiceNow, I worked in a lab environment exploring emerging GenAI research, turning promising ideas into prototypes, and bringing them into production with enterprise customers. I worked hands-on across the full lifecycle from system design and development to evaluation, deployment, and production improvement.

Alongside that work, I helped build Pietecx from an early-stage product into its first full-stack release using Next.js, TypeScript, Python, FastAPI, cloud services, and emerging AI capabilities. Previously at BairesDev and Deloitte, I built full-stack applications, cloud platforms, APIs, and ML solutions across healthcare, retail, e-commerce, and other enterprise environments.

My background spans software engineering and applied AI with Python, Java, JavaScript/TypeScript, React, Node.js, AWS, RAG, LLM orchestration, and agentic workflows. I enjoy turning ambitious AI ideas into practical systems people can actually use, and I’m always open to connecting and collaborating.

SKILLS

●AI / Agentic AI: Agentic AI, AI Agents, Multi-Agent Systems, LLM Orchestration, Tool & Function Calling, Retrieval-Augmented Generation (RAG), Prompt Engineering, Semantic Search, Embeddings, Vector Search, AI Assistants, MCP, LangChain, LangGraph

●Machine Learning / NLP: Machine Learning, Deep Learning, NLP, Transformers, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, Feature Engineering, Model Training, Model Evaluation, Inference, Drift Detection, ML Pipelines

●Frontend Engineering: React, Redux, Next.js, Angular, JavaScript, TypeScript, HTML5, CSS3, Tailwind CSS, Responsive Web Applications, Single Page Applications (SPA)

●Backend / API Engineering: Python, Java, Node.js, Express.js, FastAPI, Flask, Spring/Spring Boot, REST APIs, Microservices, Distributed Systems, Asynchronous Processing, Background Workers, API Integration

●Cloud / Platform Engineering: AWS, EC2, S3, Lambda, ECS, EKS, RDS, Redshift, SageMaker, Azure, Docker, Kubernetes, Linux, Terraform

●Data / Streaming: PostgreSQL, MySQL, Oracle, SQL, MongoDB, Azure SQL, Cosmos DB, Redis, Kafka, Spark, Data Pipelines, ETL/ELT, Data Modeling

●LLM / AI Platform Tooling: OpenAI API, Anthropic Claude, Gemini, Vector Databases, OpenSearch, LangSmith, Ragas, DeepEval, promptfoo, MLflow

●DevOps / Engineering Practices: Git, GitHub, Jenkins, GitHub Actions, CI/CD, Infrastructure as Code, Unit Testing, Integration Testing, Code Reviews, Agile/Scrum, Observability, Production Troubleshooting

●Enterprise Architecture / Security: API Design, Event-Driven Architecture, Cloud-Native Architecture, Enterprise Integrations, Authentication & Authorization, PII/PHI Protection, Encryption, Audit Logging, AI Guardrails, Responsible AI, AI Governance

●Technical Leadership: System Design, Architecture Reviews, Technical Mentoring, Cross-Functional Delivery, Customer-Facing Engineering, Requirements Discovery, Rapid Prototyping, Production Readiness, Incident Troubleshooting

EXPERIENCE

Pietecx, Remote - Founding AI / Full-Stack Engineer (Part-time)

Jan 2026 - Present

●Architected and built the first production release of Pietecx's platform using Next.js, TypeScript, Python and FastAPI, owning development from system design through deployment.

●Designed modular backend services and APIs for authentication, profiles, messaging, candidate submissions and resume/file management, backed by Supabase and structured for continued product growth.

●Built the application's AI-ready full-stack architecture, integrating Python services with the Next.js experience and developing AI-assisted candidate and career workflows as the platform evolves.

●Own the technical roadmap and hands-on engineering across frontend, backend, data, AI and cloud deployment, working directly with the founder to turn early product requirements into production capabilities.

ServiceNow, Remote - Staff AI Software Engineer

Jul 2023 - Jul 2026

●Build and productize enterprise Agentic AI and GenAI systems in Platform Labs, taking emerging research from rapid prototype through production deployment across customer-facing ServiceNow workflows.

●Contributed to Now Assist / enterprise GenAI experiences, building AI-enabled application workflows with React, TypeScript, Python, REST APIs, LLM orchestration, RAG, AI Search, and ServiceNow platform integrations.

●Developed retrieval and knowledge-assistant pipelines combining semantic chunking, embeddings, vector search, grounding, prompt orchestration, and evaluation, improving the reliability of enterprise answers over proprietary knowledge.

●Built backend services and tool integrations for AI agents, enabling LLMs to retrieve enterprise context, invoke approved actions, interact with APIs, and execute multi-step workflow tasks with controlled permissions.

●Contributed to AI Agent / agentic workflow prototypes using orchestration, tool/function calling, multi-agent patterns, memory/context management, and reusable action components for enterprise automation.

●Developed React/TypeScript application experiences around AI workflows, connecting conversational interfaces and agent results to Python/API services while handling asynchronous execution, errors, status updates, and human approvals.

●Built production AI services with Python, FastAPI, Docker, Kubernetes, AWS, background workers, REST APIs, and distributed processing, separating long-running inference and retrieval workloads from interactive requests.

●Implemented LLM and retrieval evaluation across golden datasets, answer relevance, groundedness, retrieval quality, hallucination detection, latency, and regression testing, using automated evaluation to support production releases.

●Designed security and governance controls for enterprise AI including PII/PHI protection, auditability, encryption, prompt-injection defenses, tool authorization, guardrails, and human-in-the-loop workflows.

●Worked directly with product teams and enterprise customers to translate ambiguous operational problems into AI prototypes, collect feedback, diagnose production behavior, and iteratively move successful use cases from POC to enterprise launch.

●Established reusable patterns for RAG, agent orchestration, API/tool integration, evaluation, monitoring, and deployment, helping engineering teams adopt AI capabilities without rebuilding core infrastructure for each use case.

BairesDev, Remote - Senior Software Engineer

Apr 2020 - Jul 2023

●Embedded with U.S. client engineering teams to deliver full-stack SaaS, healthcare, e-commerce, analytics, and enterprise workflow products, owning features from requirements and architecture through APIs, UI development, testing, deployment, and production support.

●Contributed to the NextRoll / AdRoll advertising platform, developing and maintaining distributed product capabilities across Python, React/Redux, AWS, REST services, data pipelines, and e-commerce integrations in a high-scale predictive-marketing environment.

●Built React-based customer experiences and Python/backend integrations supporting advertising and e-commerce workflows, working within a broader platform ecosystem that included Java, Go, Spark, Hadoop, AWS, and Shopify integrations.

●Supported Combined Arms' digital intake and resource-referral platform, implementing workflow logic, customer journeys, data-driven resource matching, integrations, and process automation for a U.S. nonprofit serving veterans and partner organizations.

●Developed a cloud-hosted healthcare application for Translational Imaging Innovations, contributing to database/API architecture and full-stack services connecting research workflows, medical imaging data, desktop applications, and an AWS-hosted web application.

●Built RESTful API endpoints and backend data services for TII's clinical-research platform while supporting customer-facing web functionality, reliability, data validation, and integration between application and database layers.

●Contributed to an Azure/.NET customer-facing portal for a U.S. infrastructure software provider, implementing custom application functionality and integrations within an Agile environment using .NET, Azure-hosted components, and Azure DevOps.

●Helped accelerate feature development for Inktavo's e-commerce SaaS ecosystem, working as an embedded product engineer across customer-facing workflows, APIs, application logic, testing, and iterative releases against fixed product milestones.

●Built and modernized additional cloud-native applications using React, TypeScript/JavaScript, Node.js, Python, REST APIs, relational/NoSQL databases, AWS, Docker, and CI/CD, adapting quickly to different client architectures.

●Worked through daily standups, sprint planning, architecture reviews and code reviews with distributed client teams; diagnosed full-stack production issues from browser behavior through APIs and persistence layers and delivered incremental fixes without disrupting active products.

●Led technical execution across selected engagements, mentoring engineers and coordinating architecture, delivery planning, blockers and production readiness while remaining hands-on with application code and integrations.

Deloitte, Atlanta, Georgia - Consultant

May 2016 - Mar 2020

●Delivered enterprise digital and analytics solutions for U.S. clients across retail, life sciences, consumer products, and data-intensive business operations, taking responsibility for application architecture, backend services, integration, analytics, testing, and production delivery.

●Contributed to Casey's enterprise digital-commerce transformation, helping build and integrate customer-facing web/mobile capabilities across SAP Hybris Commerce, MuleSoft, Salesforce Service/Marketing Cloud, Punchh, APIs, and microservices as the retailer modernized ordering and loyalty experiences.

●Developed application and integration components connecting commerce, customer, loyalty, and operational systems; supported API contracts, validation, distributed error handling, testing, and troubleshooting across a large integration surface involving dozens of services.

●Supported the Takeda / ConvergeHEALTH Deep Miner initiative, developing data and machine-learning workflows for disease prediction using Python, AWS, EC2, Jupyter, TensorFlow/deep-learning models, with the platform subsequently integrating with Amazon SageMaker.

●Built reproducible ML workflows covering healthcare-data preparation, feature engineering, model experimentation, training, evaluation, and comparison of traditional machine-learning and neural-network approaches over high-dimensional real-world datasets.

●Developed React/Java enterprise application components on additional client engagements, combining reusable React interfaces with Java/Spring services, REST APIs, SQL databases, JavaScript, automated testing, and CI/CD for large-scale business applications.

●Worked across multidisciplinary Deloitte and client teams to translate business requirements into technical designs, troubleshoot integration and performance issues, review code, support releases, and communicate engineering tradeoffs to non-engineering stakeholders.

Deloitte, Atlanta Metropolitan Area - Technology Analyst

May 2015 - May 2016

●Developed React, JavaScript, HTML5, and CSS interfaces for enterprise web applications, creating reusable UI components and responsive workflows while improving browser compatibility, accessibility, and front-end maintainability.

●Built middleware and REST integration layers using Node.js and Java-based services, connecting browser applications with enterprise APIs, SQL-backed systems, and existing business services.

●Supported a major U.S. retailer's digital customer analytics initiative, preparing web/customer-interaction data and analyzing navigation funnels, abandonment patterns, mobile behavior, and the effect of UX changes on e-commerce conversion.

●Contributed to a U.S. beverage producer's supply-chain analytics engagement, preparing procurement and operational datasets and supporting exploratory/visual analytics and quantitative optimization used to identify packaging-cost drivers.

●Strengthened application quality through unit/integration testing, Git-based development, Agile delivery, code reviews, build automation, and production-defect analysis, while taking on progressively larger feature ownership.

Deloitte, Atlanta Metropolitan Area - Software Engineering Intern

Jan 2015 - May 2015

●Supported an early enterprise web/data project by developing responsive application functionality with JavaScript, HTML, CSS, Python, SQL, and REST-style service integrations, learning the complete workflow from requirements through implementation and testing.

●Built Python data-processing scripts with Pandas to clean, transform, and analyze structured business datasets, automating repetitive preparation and reporting tasks used by project analysts.

●Developed basic backend/API functionality and relational database queries while learning enterprise practices around Git, unit testing, debugging, Agile development, code review, and secure data handling.

●Worked alongside senior Deloitte engineers and consultants to translate business requirements into technical tasks, document application behavior, resolve defects, and prepare tested functionality for client demonstrations.

Odesk & Upwork, Remote - Freelance Full-Stack Developer

Jan 2013 - May 2015

●Built small business websites, admin dashboards and CRUD applications using HTML, CSS, JavaScript, Bootstrap, PHP/Laravel, WordPress, Node.js, AngularJS, and MySQL, gaining broad hands-on experience while completing university studies.

●Developed responsive frontends from customer requirements and mockups, implementing forms, validation, authentication, AJAX interactions, browser compatibility, and mobile-friendly layouts.

●Created basic backend services, REST endpoints, database schemas and SQL queries; deployed small applications to Heroku and AWS EC2 and handled routine Linux/server configuration.

●Automated data parsing and reporting tasks with Python, maintained small Java utilities, and learned practical debugging across frontend, backend, database, and deployment layers.

●Managed freelance projects directly with customers—from requirements and estimates through implementation, Git version control, testing, deployment, bug fixes, and post-launch support—building the engineering fundamentals later used on enterprise teams.

EDUCATION

Georgia Institute of Technology - B.S. Computer Science

Aug 2011 - May 2015

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