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Konstantin Grigorov

@kolygri

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Engineering Director and Principal Data/AI leader scaling GenAI, data platforms, and trading systems.

United Kingdom

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What I'm looking for

I’m looking to lead cross-functional engineering organizations through transformation programs—aligning data, AI, cloud, and platform strategies with measurable business outcomes, while building teams, governance, and scalable engineering foundations.

I’m an Engineering Director and Principal Data/AI leader who drives enterprise-scale technology transformations across global regions, with a focus on AI, data engineering, and cloud-native platforms. At Shell Trading & Supply, I lead high-impact AI, data, and platform initiatives by partnering directly with VP/SVP stakeholders and delivering strategic programs across trading and supply.

I’m known for pioneering GenAI initiatives and building foundations that teams can scale. I architected Shell Trading’s first cross-desk data catalogue platform (multi-asset, scalable to billions of records) and delivered Shell’s highest-performing ingestion pipeline (10M+ rows) using Polars and Azure Durable Functions—outperforming Databricks reference architectures.

I also build engineering capability through communities, automation, and governance. I directed a Data Engineering community of 16 engineers, guided adoption of GenAI automation and responsible AI practices, and previously helped modernize trading and risk platforms at Trading 212 and J.P. Morgan—shipping improvements to reliability, orchestration, and infrastructure-as-code.

Experience

Work history, roles, and key accomplishments

Current

Principal Data & AI Engineer

Current

Shell Trading & Supply

Jun 2022 - Present (4 years)

Led Shell Trading’s AI, data, and platform initiatives across global regions, partnering with VP/SVP stakeholders to drive responsible GenAI adoption and platform strategy. Architected a cross-desk data catalogue scalable to billions of records and delivered ingestion pipelines processing 10M+ rows using Polars and Azure Durable Functions.

GenAI Data Engineering Data Catalogs Responsible AI Polars Azure Functions Data Pipelines Cross Desk Data Platforms

Senior Software Engineer

Trading 212

Apr 2021 - Apr 2022 (1 year)

Delivered front-office engineering improvements to strengthen pricing accuracy, automate risk workflows, and improve reliability of high-volume trading systems. Built a pricing platform revamp, a Python algorithmic trading engine across 17k+ instruments, and improved authentication for 40k+ daily active users.

Algorithmic Trading Python Authentication Systems Reliability Interactive Brokers API

Cloud Native Software Engineer

J.P. Morgan

Jan 2020 - Apr 2021 (1 year 3 months)

Contributed to cloud-native and trading platform transformations by building automation solutions and modernising critical financial infrastructure. Built an enterprise Terraform automation library, developed a Kubernetes operator for orchestration, and migrated risk and trading workloads to AWS using IaC and Kubernetes.

AWS Terraform Kubernetes Kubernetes Operators Automation Engineering Trading Workloads Modernisation CI CD Cloud Native

Software Engineer, Algorithms

Playtech

Jan 2018 - Dec 2019 (1 year 11 months)

Delivered data-driven algorithmic enhancements across real-time pricing and gaming systems. Built FastAPI microservices aligned with enterprise CI/CD, improved sports analytics pricing models with a 20% performance increase, and modernised Kubernetes deployments and reliability workflows.

Python fastAPI Microservices Sports Analytics CI CD Kubernetes System Reliability Workflows

Full-Stack Developer

Playtech

Jul 2017 - Jan 2018 (6 months)

Built full-stack features improving automation, data quality, and platform operations for lottery systems. Developed Python + OpenCV barcode detection, migrated infrastructure to EC2 using secure configuration patterns, and delivered messaging and reporting features across React and Oracle-based systems.

React Python OpenCV AWS EC2 Messaging Systems Reporting Oracle Automation Systems Data Quality

Education

Degrees, certifications, and relevant coursework

The University of Manchester

Master of Engineering, Computer Science

2011 - 2016

Grade: High 2.1

Activities and societies: Studied technologies and concepts across areas including Python/Go/SQL, Polars/PySpark, Azure/AWS/GCP, Kubernetes, MLflow/Airflow, Terraform, CI/CD, and GenAI (Agents/Evals), including vector databases and high-performance computing.

Completed an MEng in Computer Science at the University of Manchester (2011–2016) with a High 2.1. Studied core technologies across programming, distributed systems, data engineering, and applied AI/GenAI concepts.