Open to opportunities

Zad Khan

@zadkhan

Message

Senior Full Stack Developer delivering scalable, secure, data-driven applications.

United States

Message

What I'm looking for

I seek a role where I can build scalable, secure data-driven systems, work cross-functionally, and grow in ML/AI and platform engineering within a collaborative, impact-focused team.

I am a Senior Full Stack Developer with 7+ years building high-performance applications, APIs, and data pipelines using Python, React, Node.js, containerization, and cloud platforms. I design scalable FastAPI and Django services, implement secure OAuth2/RBAC flows, and optimize ETL and ingestion pipelines to drive measurable performance and compliance improvements.

I collaborate closely with product and analytics teams to align technical solutions with business goals, automate CI/CD, and deploy resilient systems on AWS and other clouds. My work has improved request efficiency, reduced deployment time, increased uptime, and ensured GDPR compliance while enabling AI/ML integrations for analytics and forecasting.

Experience

Work history, roles, and key accomplishments

Current

Sr. Full Stack Developer

Current

BS Labs

May 2024 - Present (2 years 1 month)

Built scalable FastAPI microservices with OAuth2, RBAC and AWS API Gateway, improving request handling efficiency by 30% and implemented GDPR-compliant security controls that reduced audit issues by 90%.

Python fastAPI API Gateway Docker OAUTH2 RBAC ETL AWS Glue SQL

Full Stack Developer

Theron Solutions

Nov 2020 - Apr 2024 (3 years 5 months)

Built web applications using Flask, React and PostgreSQL and automated CI/CD with GitLab and Docker, reducing deployment time by 60% while improving frontend load times by 50% via Redis caching and lazy loading.

Flask React PostgreSQL Redis Docker CI CD Performance Optimization Agile

Associate Software Engineer

FootBridge

Apr 2018 - Oct 2020 (2 years 6 months)

Developed backend services with Django and DRF, migrated legacy jobs to Apache Parquet and Pandas improving ETL performance by 70%, and introduced Dockerized CI with Jenkins to reduce production bugs.