Senior Full Stack Engineer
Full-Stack Engineer
Available for hire
Years of
experience
9+ years
Experience
level
Senior
Available
for
Full-time, Contract
Available from
24 Jun 2026
Senior Full-Stack Engineer with 9+ years of experience building web, mobile, and AI-powered applications, including leading backend teams on enterprise SaaS projects. Strong expertise in Python, Django, Flask, FastAPI, and AI/ML systems, with additional experience in Node.js, C#, Go, cloud-native architecture, AWS deployments, and CI/CD. Recognized for mentoring, clear communication, clean system design, and close collaboration with product, QA, and stakeholders.
Skills
Languages
Employment History
Lead Full Stack Engineer at
Oracle
2023
-
2025
• Led a Python backend team on an Oracle enterprise healthcare SaaS and integration platform used by internal teams andenterprise clients to manage clinical workflows, system integrations, and automation.
• Designed and developed backend services using Python, Django, and FastAPI, building secure REST APIs for healthcare workflows and third-party integrations, and optimizing async handling to reduce API response times by 20% under load.
• Built an NLP-driven document understanding system to support internal knowledge lookup, starting with ingestion and
preprocessing of operational documents to create a searchable knowledge base.
• Developed a LangChain-based RAG chatbot assistant that used natural language input to query the knowledge base and also perform structured database lookups, reducing manual search time and improving response consistency.
• Implemented fine-tuned classification and information extraction pipelines to tag documents and extract key entities, improving the quality of the knowledge base and reducing manual review effort by 40%.
• Deployed the assistant and NLP models on AWS SageMaker and GCP Vertex AI, while using MLflow for tracking model versions and performance, ensuring scalable and reliable production operation.
• Improved operational efficiency by reducing manual lookup time by 30% for common documentation-related requests and enhancing downstream data accuracy across the organization.
• Partnered closely with frontend, data, and platform teams to deploy services using Docker on AWS (ECS/Kubernetes) via CI/CD pipelines (Jenkins/GitHub Actions).
Full Stack Engineer at
Zibtek
2019
-
2022
• Focused on Python backend engineering and frontend development with React/TypeScript for a cloud-based data platform used by enterprise clients to collect, process, and analyze operational data, including API design and architecture.
• Designed ETL pipelines in Python / AWS Glue to process structured and unstructured data into a cloud data lake on AWS S3, supporting analytics and reporting for multiple teams.
• Automated data transformation and orchestration with Apache Airflow and AWS Lambda, reducing manual ETL effort by 35% and improving data availability.
• Contributed to near-real-time data processing using Apache Kafka and Spark Streaming, enabling faster insights for timesensitive reporting and monitoring.
• Developed backend APIs in Go (Golang) using the Gin framework for a data ingestion service, increasing ingestion throughput by 40% and reducing processing bottlenecks for analytics pipelines.
Full Stack Developer at
Snackpass
2018
-
2019
• Contributed to the development of a consumer-facing web platform using React (frontend) and TypeScript-based Node.js (NestJS, Express.js) on the backend.
• Integrated secure authentication and core workflows via RESTful APIs built with NestJS and Express.js, eliminating frontend workarounds and accelerating feature delivery speed by approximately 25%.
• Built and optimized reusable React components, state management, and application flows, improving page responsiveness and user interaction consistency across web clients by 30%.
• Optimized C# backend services by improving database queries and in-memory processing, reducing API response times by 35% and lowering CPU usage by 25%.
Software Developer at
Sift
2017
-
2018
• Implemented Node.js APIs with MySQL to deliver financial metrics and transaction data to React UI, reducing API response times by 25%.
• Focused on frontend development using JavaScript, React and Angular, building responsive financial web interfaces for 5+ reporting, portfolio management projects.
• Developed reusable UI components, integrated backend APIs, and optimized financial data visualizations, improving internal decision-making efficiency by 35%.
Education
Bachelor's degree at
California State Polytechnic University, Pomona
2013
-
2017