Hire Anomaly Detection Specialists
Jason Cherry
Jason is a senior data scientist and ML engineer with 10+ years of experience, with 6+ years in production systems. He specializes in forecasting, anomaly detection, causal inference, and LLM-driven decision systems. Bringing a strong Bayesian and econometrics foundation with depth in inference under uncertainty, Jason rapidly embeds with client teams and translates ambiguous requirements into deployable solutions. He builds models that reach production and reduce cognitive load.
Show MoreLeonid Ganeline
Leonid is a machine learning and data science engineer proficient in data exploration, experimentation, model training, and fine-tuning using Python, SQL, and Cloud ML. With experience in natural language processing (NLP), anomaly detection, and expertise in building ML teams, Leonid is ready for his next challenge.
Show MoreJames Irie
James is a data scientist and machine learning engineer with 7+ years of experience building practical ML and analytics solutions from complex, multi-source datasets. He specializes in predictive modeling, anomaly detection, and production-oriented data pipelines using Python, SQL, and cloud-based workflows. James is particularly strong at turning ambiguous business problems into structured analyses, reliable models, and clear recommendations for technical and non-technical stakeholders.
Show MoreManpreet Singh Minhas
Manpreet is a computer vision and deep learning engineer and developer who has taken many AI-based ideas from the research stage to production. He regularly shares his industry and research expertise in deep learning and computer vision by authoring technical articles on Medium's Towards Data Science. Manpreet's industry experience is backed by a master's degree in computer vision and deep learning, he is passionate about technology, and he loves to build cool stuff.
Show MoreCole Bisaccia
Cole is an ML and software engineer specializing in end-to-end machine learning systems and agentic AI development. He designs and deploys production-grade pipelines covering model architecture, data ingestion, feature engineering, inference, and monitoring, with particular depth in time-series forecasting and anomaly detection. Cole develops agentic systems that integrate LLMs with external tools and operating environments to automate complex workflows and support autonomous decision-making.
Show MoreDávid Natingga, Ph.D.
Dávid helps his clients solve the most complex analytical problems using mathematics, data science, and technology. He has aided numerous clients, including big names like Infosys, Palantir, Suez, and TomTom. Dávid's top niche is high-frequency time series analysis. He makes the impossible possible. His inventions encompass robust Fourier transform, robust anomaly detection, and overcoming the curse of higher dimensionality. Dávid's strengths include curiosity, creativity, and persistence.
Show MoreMatej Kloska
Matej is a software and AI architect with over 16 years of experience building resilient systems. Holding a PhD in informatics, he has a proven track record in software architecture, data engineering, and cloud-native microservices. Spanning roles from engineer to CTO, Matej specializes in AI/ML and complex system design, combining robust architecture with applied artificial intelligence.
Show MoreXavier Coubez
Xavier holds a PhD in particle physics and is now a senior biostatistician and research scientist in a Comprehensive Cancer Center. He was involved in one of the two main CERN collaboration projects, working as a postdoctoral researcher at Brown University (USA) and RWTH Aachen University (Germany), and developing in-depth knowledge about deep learning. He's moved to the medical domain, where he specialized in biostatistics and medical imaging, with a more recent focus on multi-omics analysis.
Show MoreSusanna Sargsyan
Susanna is a senior machine learning engineer with nearly 5 years of experience building and deploying scalable AI systems for clients, including Plat.AI and a robotics/autonomous systems company. Her core expertise spans advanced computer vision and generative AI, supported by robust MLOps engineering using Vertex AI, Kubeflow Pipelines, and GCP. Susanna thrives in fast-paced startup environments, where she recently architected a production ML platform supporting multiple prediction services.
Show MoreArsine Sarikyan, PhD
Arsine is a creative and scientifically rigorous data scientist with over three years of experience. Her experience includes designing experimentation processes such as data collection, robustness checks, and explainability, developing ML and AI strategies, and conducting NLP research. She specializes in causal analytics to answer the why question and find hidden patterns and relationships. Arsine contributes to the research community by writing and publishing academic papers.
Show MoreKshitij Kant
Kshitij is a data science professional with experience in behavior modeling, anomaly detection, and natural language processing. He has worked with datasets of varying sizes (KBs to scores of GBs) and his tools of choice are Python and Spark. Kshitij also has a background in web development using Node.js, React-Native, Docker, and CouchDB.
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