CV
Education
Technical University of Berlin
Present
Bachelor in Industrial Engineering, Information and Communication Systems
Relevant Courses: Python for Engineers (6 ECTS), Operations Research with Julia
Work Experience/Community Activity/Bootcamps
Innovis VC
Venture Capital Analyst
Nov. 2024 - Present
Berlin, Germany
Investment Analysis & Due Diligence:
- Evaluated 50+ early-stage AI startups, conducting market analysis, competitive positioning, and technical feasibility assessments
- Conducted technical due diligence for investment decisions, assessing architecture decisions, team capabilities, and scalability potential
- Developed proprietary technical scoring framework for evaluating LLM implementations and AI startup differentiation
- Authored investment memos analyzing market trends in generative AI, European AI funding landscape, and emerging technology opportunities
Research & Insights:
- Created technical reports analyzing pros and cons of various LLM approaches for investment decision-making
- Developed Python-based scoring models and data analysis pipelines for startup evaluation
- Contributed technical insights to investment committee discussions and funding decisions
Audible, Amazon
Working Student
Dec. 2023 - May 2025
Berlin, Germany
- Supported daily facility tickets; routed ~30 requests per week to responsible teams.
- Assisted with planning and execution of 20+ all-hands meetings, workshops, and team events; ensured smooth operations and positive feedback.
- Managed mail and courier deliveries.
- Coordinated appointments with cleaning and maintenance service providers; documented status in internal systems.
- Supported invoice verification and filing; standardized templates and reduced processing time.
- Welcomed external guests and speakers at Audible Studio; ensured a professional first impression.
MotionLab Berlin
IoT Bootcamp Program
May 2023 - July 2023
Berlin, Germany
- Led team in developing a computer vision-based motion detection system.
- Implemented ML model integration into IoT devices; solved complex deployment challenges.
- Created documentation and technical presentations; deepened understanding of ML deployment strategies.
Technical Due Diligence Capabilities
AI/ML Evaluation Expertise:
- Deep technical assessment of LLM architectures, fine-tuning approaches, and RAG systems
- Evaluation of vector databases, computer vision models, and ML deployment strategies
- Technical differentiation analysis for investment decision-making
Technical Analysis Tools:
- Python-based scoring models and data analysis pipelines for startup evaluation
- Statistical analysis and data visualization for market research
- Technical feasibility and scalability assessment frameworks
Supporting Technical Knowledge:
- Programming: Python (primary), Java, C, Javascript, SQL
- Cloud Technologies: AWS (S3, EC2, ACM), Git
- Data Analysis: Statistical Analysis, Excel, Power BI
Languages:
- Russian (Native), German (Fluent), English (Fluent)
Technical Background & Projects
Note: Technical projects demonstrate hands-on understanding that informs investment due diligence and enables deeper technical evaluation of AI/ML startups.
LLM Fine-Tuning Project
February 2025
- Implemented LLM fine-tuning with Llama 2 using Hugging Face frameworks
- Developed LoRA (Low-Rank Adaptation) approaches for efficient training
- Technical understanding enables evaluation of startup fine-tuning strategies and architecture decisions
AI-Enhanced Visualization Project (Hackathon at Google)
April 2024
- Developed multimodal AI system connecting text and image data using pre-trained models
- Implemented RAG (Retrieval-Augmented Generation) system with vector database
- Hands-on experience with RAG architectures informs technical due diligence of RAG-based startups