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Alexander Fridman

@alexfridman

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AI Systems Architect building production ML in MedTech, AdTech, and complex data.

Armenia

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What I'm looking for

I’m looking for a team where I can build and own production AI systems end-to-end—turning messy business problems into robust ML pipelines. I thrive in cross-functional work and want measurable impact in MedTech/AdTech-style, data-heavy environments.

I build production AI systems in complex, data-heavy environments—from problem formalization to scalable deployment. I translate ambiguous ML pipeline challenges into structured, production-grade machine learning architectures.

Since January 2021, I’ve run an independent AI consulting practice delivering production-grade AI and biomedical image analysis in Python. I lead end-to-end system development across computer vision, NLP, recommendation systems, and large-scale data processing, and I often act as a fractional AI lead with founders and product teams.

I’ve also built a large-scale scientific knowledge graph by aggregating and harmonizing data from Scopus, PubMed, and Semantic Scholar. I implemented entity resolution and author disambiguation pipelines and developed a production-grade graph data model in ArangoDB for structured research intelligence and analytics.

Previously, I served as Head of R&D at Aibion Technologies, leading a cross-functional team of 4 engineers and 15 pathologists to operationalize end-to-end ML and data workflows. I formalized problem definitions with medical experts, created multi-level annotation systems with quality control, and developed instance segmentation and tile-level classification models (Mask R-CNN, U-Net, HoverNet) to deliver an MVP; before that, I built identity graphs, audience segmentation, and real-time/batch pipelines at EPICA, and worked on geospatial big data at Yandex.

Experience

Work history, roles, and key accomplishments

Current

AI Systems Consultant

Current

Shapeion Technologies

Jan 2021 - Present (5 years 5 months)

Led AI consulting projects end-to-end: from requirements to production. Built LLM/RAG pipelines, document AI systems, and data platforms across domains. Focused on delivering production-ready systems that drive real business decisions.

Production AI Systems Computer Vision NLP Recommendation Systems Knowledge Graphs Entity Resolution ArangoDB Data Engineering

Head of R&D

Aibion Technologies

Feb 2020 - Dec 2020 (10 months)

Led a cross-functional team building ML systems for digital pathology. Designed pipelines for WSI processing, annotation, and model training (segmentation, classification). Delivered an MVP supporting clinical workflows under real-world constraints.

U Net HoverNet Deep Learning Medical Imaging Histology Computer Vision OpenCV PyTorch

Machine Learning Instructor

Tensor.by

Feb 2018 - Jan 2020 (1 year 11 months)

Taught machine learning and deep learning fundamentals, mentoring students on real-world projects and helping them build practical skills in Python, ML frameworks, and data analysis.

Machine Learning Instruction Natural Language Processing Neural Networks Recommender Systems Clustering Curriculum Design Hands On Labs Educational Content

Machine Learning Engineer

EPICA

Apr 2018 - Nov 2019 (1 year 7 months)

Built ML systems for adtech, including identity graph and audience segmentation pipelines. Processed large-scale event data using Spark and Kafka, enabling data-driven targeting and optimization for marketing campaigns.

Identity Resolution ID Graphs User Stitching Spark Kafka Redis Postgres ArangoDB Clickhouse fastAPI

Machine Learning Engineer

RocketScience.ai

May 2017 - Apr 2018 (11 months)

Developed ML-driven components for DSP systems, including user clustering and prediction models. Worked with high-volume event streams and built data pipelines for real-time targeting and campaign optimization.

Pose Estimation Object Detection Detectron Video Analytics Deep Learning Python TensorFlow PyTorch OpenCV

Data Scientist (Geospatial)

Yandex

Aug 2016 - Apr 2017 (8 months)

Built large-scale geospatial data pipelines and ML models to infer real-world behavior from GPS data. Worked with distributed systems (YT, Kafka, ClickHouse) and processed hundreds of TB of data. Delivered production systems linking online ads to offline visits.

Geospatial Big Data Pipelines Yandex Table (YT)PostGIS Geopandas Data Aggregation Machine Learning Python

Python Development Intern

Yandex

Feb 2016 - Jul 2016 (5 months)

Developed data processing tools and parsers for internal datasets. Gained hands-on experience with large-scale data systems and production pipelines, supporting data ingestion and transformation workflows.

Data Pipelines Data Ingestion Batch Processing Kafka Redis Yandex Table (YT)Python