Mikhail Okrochkov
Applied AI & Computer Vision Leader | Production ML Systems | Generative AI | Signal & Visual Intelligence | Former Cyber & RF ML Engineer
- Role
- Lead Data Scientist at Synchronoss Technologies
- Location
- Laurel, MD, US
- LinkedIn followers
- 500 followers
About Mikhail Okrochkov
I build and deploy applied AI systems that solve real operational problems at scale.I have 10+ years of experience developing production machine learning across computer vision, anomaly detection, signal processing, and generative AI. I specialize in replacing manual workflows and third-party AI services with internally developed ML systems.Currently, I lead a team developing large-scale visual intelligence platforms, where I led the transition from vendor computer vision services to in-house models, saving millions annually while improving performance and flexibility.Previously, I developed anomaly detection models for cyber threat detection aligned with MITRE ATT & CK and built neural network systems for RF signal classification and propagation modeling.Core focus areas:• Applied ML system design and deployment• Computer vision and generative AI• Embedding and retrieval-based AI• Signal and geospatial machine learning• Real-time ML pipelines and cloud deployment
Experience
Lead Data Scientist
Sep 2021 — Present · Reston, VA, US
Headed a team of 15 individuals responsible for creating and deploying machine learning algorithms, overseeing the entire process from conceptualization to production.• Championed the initiative to substitute third-party services like Amazon Rekognition with in-house solutions, resulting in annual savings amounting to millions.• Implemented state-of-the-art (SOTA) computer vision Generative Adversarial Network (GAN) models for various image processing and augmentation tasks, including super resolution, colorization, object removal, and more.
Education
University of Massachusetts Amherst
Bachelor's degree, Mathematics
2004 — 2008
The Johns Hopkins University
Master's degree, Physics
2008 — 2011
University of Massachusetts Amherst
Bachelor's degree, Physics
2004 — 2008
Skills
- Science
- Research
- Systems Engineering
- C
- Programming
- Matlab
- Software Engineering
- Mathematical Modeling
- C++
- Algorithms
- Python
- Latex
- Data Analysis
- Artificial Neural Networks
- Physics
- Linux
- Machine Learning
- Monte Carlo Simulation
- Numerical Analysis
- Simulations
- Signal Processing
- Pattern Recognition
- Statistics
- Spectroscopy
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