Igor Nikolaev
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-Augmented Software Architect | AI Engineer @ Pinnipedia | Knowledge Graphs • LLM Systems • Security Platforms
I am a Software Architect and Engineer focused on AI-augmented software development. Over the past decade I have worked across architecture, engineering leadership, and complex system design. Today my work focuses on a new way of building software: humans designing systems and AI implementing them. My approach as an AI-augmented architect: Design the system architecture, data models, and domain logic Define the business rules and system interactions Direct AI tools to implement the system rapidly and iteratively This approach allows a single engineer to operate at the output level of a small engineering team, dramatically increasing development speed while maintaining architectural quality. I am particularly interested in building AI-native platforms where LLMs interact with structured data models, knowledge graphs, and domain logic to automate complex workflows. Currently I am working on an AI-powered IT security compliance platform based on the BSI IT-Grundschutz framework. My focus areas: • AI-augmented software engineering • System architecture & distributed systems • Knowledge graphs & structured domain models • LLM-powered automation platforms • Rapid product development with AI coding tools I believe the future of software development is architect-driven, AI-implemented systems.
Lomonosov Moscow State University (MSU)
Doctor of Philosophy (Ph.D.), Mathematics
January 1, 1981 – January 1, 1985
Lomonosov Moscow State University (MSU)
Master of Science (MS), Mathematics
January 1, 1976 – January 1, 1981
Pinnipedia Technologies GmbH
AI Engineer
December 1, 2025 – Present
Berlin, Germany · Hybrid
Thryve
AI Engineer
January 1, 2025 – December 1, 2025
Berlin, Germany · Hybrid
Trimble Inc.
Tech Lead - Sustainability Tribe
August 1, 2022 – June 1, 2024
Berlin, Germany · On-site
Tracks
Co-Founder & CTO
August 1, 2018 – August 1, 2022
Berlin Area, Germany
Grover
VP of Engineering & Machine Learning
August 1, 2016 – August 1, 2018
Berlin Area, Germany
Fyber
Head of Data Architecture and Data Science
August 1, 2014 – October 1, 2016
Berlin Area, Germany
Fidelity
Director Architect
October 1, 2005 – August 1, 2014
Galway, Ireland
Intec
Principal Architect
June 1, 1999 – October 1, 2005
Galway, Ireland
Saint Petersburg Futures and Options Exchange
Co-founder & CTO
January 1, 1992 – June 1, 1999
St. Petersburg, Russia
Saint Petersburg State Technical University
Professor of Mathematics
January 1, 1985 – August 1, 1992
St. Petersburg, Russia
Moscow State University
Student and Programmer
September 1, 1976 – December 1, 1984
Moscow, Russian Federation
CryptoCapital.AI
March 1, 2018 – Present
Crypto Capital AI is an algorithm-driven Open Hedge Fund, which applies Artificial Intelligence and Machine Learning algorithms to crypto currency market. CryptoCapital.AI allows institutional and professional investors, fund managers and traders to create their own Portfolios and Hedge Funds by renting trading bots.
Metadata: Organizing and Discovering Information
Coursera
June 24, 2026 – Present
Financial Engineering and Risk Management
Coursera
June 24, 2026 – Present
Data Analysis
Coursera
June 24, 2026 – Present
Cypher Fundamentals
Neo4j
June 24, 2026 – Present
Financial Markets by Robert Shiller
Coursera
June 24, 2026 – Present
Introduction to Data Science
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across startups (Tracks, Grover), established tech companies (Fyber, Fidelity), and even co-founding an exchange, indicates a broad adaptability to different organizational cultures. Their involvement in projects focused on sustainability (Tracks) and health data (Thryve) suggests an interest in impactful work. The long tenure in various leadership roles and continuous adoption of new technologies aligns with a culture of innovation and continuous learning. The academic background in Mathematics and early programming experience further supports a strong analytical and foundational approach.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and problem-solving skills through their various CTO, VP, and Director roles. Their experience in transitioning teams to Agile methodologies and adopting new technologies indicates adaptability and a proactive approach to operational improvements. The descriptions highlight an ability to establish new departments and frameworks, suggesting strong initiative and organizational capabilities.