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Mark Wlodawski

@markwlodawski

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Senior Software Engineer specializing in scalable Python systems and AI/ML integrations.

United States

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What I'm looking for

I seek a role building scalable, AI-enabled backend systems in a collaborative Agile team with strong DevOps practices and opportunities to lead technical initiatives.

I am a Senior Software Engineer with over 11 years of experience architecting and delivering Python-based, cloud-native systems that integrate AI/ML capabilities into high-availability backends. I design and optimize microservices with FastAPI, Django, and Flask, often complemented by Node.js for event-driven components.

My achievements include engineering AI-powered recommendation and anomaly-detection systems, migrating monoliths to microservice architectures for multi-tenant SaaS, and automating ETL and deployment workflows to dramatically reduce deployment cycles and improve analytics efficiency. I routinely deploy infrastructure with Terraform and CI/CD pipelines, achieving strong uptime and rapid, rollback-safe releases.

I lead cross-functional teams using Agile practices, mentor engineers on TDD and performance improvements, and collaborate with data science and MLOps teams to operationalize models with tooling like MLflow, TensorFlow, and PyTorch. I am passionate about building reliable, scalable systems that deliver measurable business impact.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Cognizant

Apr 2024 - Sep 2025 (1 year 5 months)

Designed FastAPI microservices for a data intelligence platform handling over 10M daily requests and achieved 99.9% uptime; engineered an AI recommendation engine that reduced computation time by 45% and improved personalization accuracy by 30%.

Python fastAPI TensorFlow AWS Docker Terraform Kafka Redis Airflow

Senior Software Engineer

Third Eye Software

Nov 2021 - Mar 2024 (2 years 4 months)

Led migration of monolithic Python apps to microservices for a multi-tenant SaaS serving 75K+ users, improving scalability and reducing response times by 37%; implemented Terraform and IaC to cut configuration errors by 90%.

Django REST Framework fastAPI Celery Redis Terraform AWS GraphQL Docker

Full Stack Engineer

Toptal

Aug 2015 - Nov 2021 (6 years 3 months)

Delivered full-stack solutions for fintech and logistics clients using Python and Node.js, improving read/write efficiency by 40% and reducing frontend defect rates by 33% through modular component architectures.