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Senior Full-Stack Python Engineer with 6+ years building scalable, cloud-native web applications for SaaS and healthtech domains. I specialize in Django and FastAPI, async REST APIs, database performance, and containerized deployments on AWS. I enjoy driving engineering from architecture to production—optimizing latency, leading cross-functional squads, and strengthening delivery through CI/CD automation and strong testing practices (pytest, TDD).…Senior Full-Stack Python Engineer with 6+ years building scalable, cloud-native web applications for SaaS and healthtech domains. I specialize in Django and FastAPI, async REST APIs, database performance, and containerized deployments on AWS. I enjoy driving engineering from architecture to production—optimizing latency, leading cross-functional squads, and strengthening delivery through CI/CD automation and strong testing practices (pytest, TDD).

M. Wasil

Full Stack Developer, Software Engineer, Back-End Developer, +2

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Senior Full-Stack Python Engineer with 6+ years building scalable, cloud-native web applications for SaaS and healthtech domains. I specialize in Django and FastAPI, async REST APIs, database performance, and containerized deployments on AWS. I enjoy driving engineering from architecture to production—optimizing latency, leading cross-functional squads, and strengthening delivery through CI/CD automation and strong testing practices (pytest, TDD).…Senior Full-Stack Python Engineer with 6+ years building scalable, cloud-native web applications for SaaS and healthtech domains. I specialize in Django and FastAPI, async REST APIs, database performance, and containerized deployments on AWS. I enjoy driving engineering from architecture to production—optimizing latency, leading cross-functional squads, and strengthening delivery through CI/CD automation and strong testing practices (pytest, TDD).

Available to hire

Senior Full-Stack Python Engineer with 6+ years building scalable, cloud-native web applications for SaaS and healthtech domains. I specialize in Django and FastAPI, async REST APIs, database performance, and containerized deployments on AWS.

I enjoy driving engineering from architecture to production—optimizing latency, leading cross-functional squads, and strengthening delivery through CI/CD automation and strong testing practices (pytest, TDD).

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Work Experience

Senior Python Engineer (Full Stack) at Kiavi

April 1, 2022 - Present

Architected and shipped a multi-tenant SaaS platform using Django REST Framework and React. Migrated a monolith to FastAPI-based async microservices, reducing average API latency by 52% and enabling horizontal auto-scaling on AWS ECS Fargate. Built event-driven workflows with Celery + Redis + SQS for asynchronous report generation with a 99.97% success rate. Implemented CI/CD pipelines (GitHub Actions, Docker, Terraform) reducing deployment time from 45 minutes to under 8 minutes. Optimized PostgreSQL performance using EXPLAIN ANALYZE, partial indexes, and materialized views—reducing report generation from 14s to 1.2s. Mentored a squad of 6 engineers, introduced DDD and enforced 85%+ pytest coverage with TDD practices across backend services.

Python Developer (Full Stack) at Veeva Systems

January 1, 2020 - March 1, 2022

Built HIPAA/GDPR-compliant clinical trial data management APIs using Django and PostgreSQL for multiple pharmaceutical clients. Developed a React-based regulatory submission portal that reduced document review cycles by 30% via automated compliance validation rules. Containerized 12 Django microservices with Docker Compose and deployed to AWS ECS; introduced Kubernetes-based auto-scaling cutting infrastructure costs by 22%. Designed async ETL pipelines using Airflow + Pandas ingesting structured and unstructured trial data from 8 sources into a unified data warehouse. Integrated OAuth 2.0 SSO (Okta) and row-level security in PostgreSQL to enforce role-based access across 4 user tiers with full audit logging.

Software Engineer at Palantir Technologies

December 1, 2017 - December 1, 2019

Built Python data-pipeline connectors for Palantir Foundry ingesting and transforming 10TB+ daily from government health agency data lakes. Delivered Flask-based internal APIs consumed by 300+ Palantir analysts; optimized ORM queries with SQLAlchemy to reduce dashboard load time by 45%. Contributed to a React + TypeScript frontend for Palantir AIP platform, shipping user-facing features for clinical intelligence workflows. Wrote comprehensive pytest suites (unit, integration, contract testing) maintaining 90%+ coverage across 6 microservices. Worked under strict data-governance protocols in a classified environment, building audit-trail systems and automated compliance reporters.