Data Architect at Instructure (2021–)

Lead architect for a data access and analytics platform serving Canvas and other education products.

Our data engineering teams are facilitating internal teams and external partners in getting insights from their data. We are collaborating in acquiring, exposing, modeling, categorizing, and managing data through its life-cycle. We have been creating a data warehouse, ingesting data from relational and non-relational sources using a combination of change data capture, streaming data and Ed-Tech protocols to external systems. Based on the data gathered in the data warehouse, we have developed an analytics suite that helps answer ad-hoc queries, drives dashboards and provides interactive drill-down on data.

As a data architect, I have been actively collaborating with a team of 30 data and software engineers, product managers, and directors of engineering and product. My major projects include establishing a central data warehouse, launching a new analytics product line, and significantly reducing operating cost of several data platform services.

Technologies involved: Snowflake, Trino, Spark, AWS (e.g. Kinesis, MSK, EMR, EKS, Glue), Iceberg and Hudi, Debezium, PostgreSQL, Scala, Java, Python

Engineering Specialist at Kheiron Medical Technologies (2020–2021)

Senior technology advisor for medical products backed by artificial intelligence.

Backed by a neural network stack, our team had built a product that integrated with hospital systems to help ensure proper breast positioning and diagnose malignancies in mammography digital images. Responsibilities of our engineering team included acquiring and pre-processing images, incorporating machine learning models, visualizing predictions and facilitating the verification and validation process.

My main focus had been designing a scalable cloud-first solution for Kheiron's flagship products Mia and Mia IQ, and ensuring a smooth migration from an earlier monolithic on-premise version, and an evolution from a prototype to a full-fledged product. This had entailed collaborating with Machine Learning, Data Acquisition, Product and Clinical Teams.

Technologies involved: Kotlin, Python, C++, PostgreSQL, TensorFlow, AWS (Lambda, Redshift, S3, SageMaker), Azure

Tech Lead at IBM Watson Media, Budapest (2018–2020)

Lead architect for a closed captioning and video analysis product portfolio, part of the Watson suite for major media companies.

Utilizing artificial intelligence research in speech-to-text, visual recognition and natural language understanding, our team created close to real-time applications that automatically enrich video content with metadata for video indexing and search, as well as provide punctuated transcripts for live broadcast streams in English and Spanish. Our responsibilities ranged from integrating external research assets into our product portfolio to developing our own algorithms for solving complex machine learning problems; spanning the entire software development flow taking code from inception to being deployed as a highly available cloud service. Our solution has been integrated with over 80 stations of the Sinclair Broadcasting Group across the US.

My responsibilities included problem analysis, overall system design, balancing business and engineering objectives, communicating with offering representatives, coordinating the engineering aspects of a multi-site team (mainly Atlanta, Budapest, Haifa), creating inventions (patents), solution design and code review, mentoring.

Technologies involved: Go, C++, Boost, Python, Keras, TensorFlow, SQL, Elastic­Search, Kubernetes, IBM Cloud

Practicing software engineering, I have been involved in designing and developing highly scalable heterogeneous systems. I have taken part in crafting high-performance applications as well as cross-platform solutions, on premise and in the cloud. My interests include insights from data, machine learning, multi-paradigm and domain-specific languages, distributed systems, automated software engineering and portable software. I have work as well as teaching experience in software architecture, data pipelines, web technologies, functional and logic programming. Besides being affiliated with companies including IBM, LogMeIn, Ericsson and Nokia, I have run various open-source projects. I have team leadership experience in an agile context, and enjoy speaking and writing on technical subjects. Having a diverse background, with both academic and computer software industry experience, I am able to apply my previous knowledge to solving new and complex problems.

At the end of my Master's and as a PhD student, I have assisted in teaching various courses on software design, database and web technologies, and introductory programming.