Maksym Karunos
@maksymkarunos
AI Engineer specializing in machine learning, computer vision, and production-ready ML systems.
What I'm looking for
I am an AI Engineer with hands-on experience designing and deploying production ML infrastructure for high-scale e-commerce and logistics systems, focusing on ETA prediction, routing, and automation. I build low-latency microservices, reliable data pipelines, and monitoring to ensure resilient model performance.
At DoorDash I improved ETA accuracy and reduced failed deliveries through feature engineering, retraining pipelines, and cross-functional collaboration; at Indeed I scaled partner integrations, improved ingestion reliability, and reduced incident resolution time through observability and robust sync services.
I hold a Bachelor's in Computer Science with coursework in algorithms, data science, and systems, and I mentor engineers while driving documentation and reliability initiatives that accelerate onboarding and production stability.
Experience
Work history, roles, and key accomplishments
Designed and deployed ETA prediction and routing ML infrastructure supporting >2M daily deliveries, improving ETA accuracy by 18% and reducing failed deliveries by 12% through smarter dispatch algorithms.
AI Software Engineer
Indeed
Jun 2022 - May 2024 (1 year 11 months)
Maintained API integrations with 50+ ATS partners handling >10M job postings weekly, reducing partner ingestion failures from 6% to <1% and improving throughput by 40% via async queues and batch pipelines.
Contributed to backend systems for the Your Orders page used by ~300M customers, optimizing latency by 22% and raising test coverage to 90%, cutting API failure rates by 85%.
Education
Degrees, certifications, and relevant coursework
Pace University
Bachelor's degree, Computer Science
2018 - 2021
Activities and societies: Dean's List; The National Society of Leadership and Success (NSLS); student projects including chatbot, multi-source Q&A, YOLOv8 fine-tuning, and robotics automation.
Bachelor's degree in Computer Science with coursework in algorithms, data structures, probability, and data science; maintained Dean's List and participated in leadership activities.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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