Available to hire
Senior AI Full-Stack Engineer with 10 years of experience building scalable web applications, data platforms, and AI-driven systems. I specialize in React/TypeScript and Python-based cloud-native backend services, with hands-on delivery of LLM-powered features, RAG pipelines, and data-intensive services across production environments.
I own systems end-to-end—from frontend and APIs to data pipelines, cloud infrastructure, and observability—while collaborating closely with product, data, and ML teams to ship reliable, secure, and production-grade solutions across AWS, Azure, and GCP.
Skills
Experience Level
Expert
Expert
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Expert
Expert
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Expert
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Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Work Experience
Senior AI Full Stack Engineer at Groundup.ai
April 1, 2022 - July 1, 2026Designed and developed AI-powered backend services using Python and FastAPI for high-volume, data-intensive, LLM-driven workloads. Built and optimized ETL/NLP preprocessing and feature engineering pipelines with pandas, Spark, and Databricks. Implemented RAG pipelines using LLMs, embeddings, Pinecone vector search, and structured/unstructured data sources. Integrated LLM providers (OpenAI, Gemini, Claude) for generation, classification, summarization, and translation. Applied prompt engineering and model optimization to improve output quality, latency, and cost. Built cloud-native services using Azure Functions, AKS, and Blob Storage; migrated workflows across Azure and AWS using S3/EMR/Glue/IAM and CloudWatch. Deployed AI microservices with Docker and Kubernetes and used AWS Bedrock for secure, scalable foundation-model orchestration in production. Strengthened observability with CloudWatch/ELK/Splunk-style logging, monitoring, and data pipeline health; collaborated cross-functionally
AI Full Stack Engineer at FinbotsAI
November 1, 2020 - March 1, 2022Independently delivered backend services and ETL pipelines with minimal supervision using async workflows to gather requirements and ship features. Built internal systems for distributed operational teams and coordinated cloud deployments/releases via CI/CD and Infrastructure-as-Code. Developed full-stack AI-enabled applications with React and TypeScript, paired with Python backend services supporting enterprise-scale systems. Implemented generative AI features such as LLM-powered search, content generation, summarization, and data extraction. Built RAG systems using LangChain, embeddings, vector databases, and structured data sources (SQL/NoSQL). Designed and maintained ETL/NLP pipelines using Python/pandas and PostgreSQL/Supabase with Great Expectations-style data validation. Integrated ML models using scikit-learn, TensorFlow, and PyTorch. Secured REST and AI APIs using JWT/OAuth2 with role-based access control. Deployed and managed workloads across AWS and Azure; built generative A
Senior Full Stack Developer at ADVANCE.AI
April 1, 2019 - October 1, 2020Architected and delivered scalable, production-grade web applications using React, Next.js, Node.js, and Python, improving user engagement (+32%). Designed REST and GraphQL microservices, improving reliability and fault tolerance (+30%). Built real-time features using WebSockets and optimized admin dashboards and internal tooling, improving stability (+20%). Collaborated on early generative AI integrations using AWS Bedrock within microservice-based architectures while following enterprise security/compliance. Led frontend performance optimization (code splitting, caching, API efficiency) to improve responsiveness and load times. Automated CI/CD and infrastructure using Terraform and implemented security best practices (IAM roles, encryption in transit/at rest, audit logging). Delivered high-impact features end to end with product/design/backend teams.
Full Stack Developer at Codigo
April 1, 2017 - March 1, 2019Developed full-stack web applications using React, Next.js, and Django, improving performance (+18%). Built scalable e-commerce platforms, dashboards, and internal tools, increasing stability (+10%). Designed and optimized SQL/NoSQL data models across PostgreSQL, MongoDB, Supabase, and Redis, improving query performance (+12%). Implemented generative AI features using AWS Bedrock integrated with LangChain-based RAG pipelines and AWS-native services for secure inference. Built ETL-style data pipelines with Python and pandas for analytics and early ML use cases. Implemented REST APIs, authentication, and role-based access control. Contributed to AWS CloudFormation-based deployment automation and improved code quality/testing practices.
Education
Bachelor of Science in Computer Science at Harbin University of Science and Technology
August 1, 2013 - July 1, 2017Bachelor of Science in Computer Science at Harbin University of Science and Technology
August 1, 2013 - July 1, 2017Bachelor of Science in Computer Science at Harbin University of Science and Technology
August 1, 2013 - July 1, 2017Qualifications
Industry Experience
Software & Internet, Financial Services, Education, Professional Services, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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