Senior Backend Engineer

I design and maintain backend services for a high-volume direct-ordering platform serving national restaurant brands, including Subway, Penn Station, Farmer Boys, and Clean Eatz. I develop Django REST Framework APIs and deliver full-stack functionality with React, TypeScript, and Redux across loyalty, delivery, menu synchronization, reporting, and administration workflows.

I led delivery-radius validation using a hybrid polygon pre-filter and Google Maps driving-distance validation behind per-brand feature flags. I integrate payment, loyalty, and delivery providers; resolve loyalty and discount-engine data-integrity issues; optimize SQL and business logic; and maintain Pytest coverage in Docker-based CI/CD workflows while collaborating with Product, QA, and DevOps.

I developed and maintained backend integrations with external APIs using Python, Django, and FastAPI. I designed scalable RESTful APIs using asynchronous request handling and Pydantic validation models for consistent request and response schemas.

I created unit and integration tests for successful requests, HTTP errors, timeouts, and parameter validation. I deployed and monitored services with AWS Lambda, EKS, RDS, and DynamoDB, containerized applications with Docker, and implemented automated testing, build, and deployment pipelines through GitHub Actions.

I developed Django and Django REST Framework web applications following an MVC architecture. I also built FastAPI microservices to replace legacy endpoints, improving scalability and response performance.

I built Python and Spark ETL pipelines for large-scale data processing and reporting. I deployed and maintained applications using AWS Lambda, Docker, and CloudFormation, with CI/CD automation through Jenkins.

I upgraded backend systems from Python 2.7 to Python 3.6 and from Django 1.8 to Django 3.2. I migrated REST API modules to Django REST Framework and improved the backend architecture for performance and scalability.

I maintained and optimized MySQL databases while helping establish Dockerized development environments and CI/CD pipelines. I also contributed to AWS RDS and EKS cloud-migration work.

I developed Python scripts for PostgreSQL data manipulation, reporting, API endpoints, and integrations. I supported backend delivery by creating and maintaining reliable data-processing workflows.

I containerized applications with Docker and performed unit testing, integration testing, and code reviews. I presented technical findings to stakeholders and maintained project documentation to support delivery deadlines.

I built backend services with Python, Django, and PostgreSQL for an AI-based people-detection solution. I contributed to API architecture and backend functionality supporting the computer-vision platform.

I worked on the data and service layers needed to support AI detection workflows. My work focused on maintainable backend implementation and reliable system integration.

I developed Python image-segmentation and classification scripts for computer-vision use cases. I improved model accuracy from 72% to 97% through implementation and optimization work.

I also optimized PLC data-collection processes, reducing collection time by 33%. This work combined software development, data processing, and industrial automation support.

I am building an edge computer-vision system for counting passenger boardings and alightings on urban buses using a ceiling-mounted camera. The solution is designed for fleet deployments of 10 to 50 units.

I fine-tune YOLO head-detection models on a custom top-down dataset and build tracking, bidirectional line-crossing, labeling, and ground-truth evaluation capabilities. I am also developing a platform-agnostic inference pipeline using Ultralytics, Hailo, and TensorRT backends for ARM64 edge devices, with GPS-tagged events and depot WiFi synchronization.

Completed a Bachelor of Science in Mechatronics Engineering. Earned a Leadership Diploma and Ambassador recognition in 2018, and achieved first place in the Engineering Fair from 2017 to 2019.