About Kristina
- Build a SaaS MVP from A to Z — from scoping to production, with no intermediaries
- Integrate AI into your product: classification, analysis, generation, recommendation
- Design and train ML models on your data (LLM fine-tuning, evaluation, serving)
- Structure your data pipeline and data warehouse
- Move fast with AI agents — without sacrificing quality
- Minimize your cloud and inference costs from the design phase (GCP, Supabase, OpenAI…)
- A single point of contact from business problem to delivered product — no ML / backend / infra silos
- I understand your product trade-offs as well as your technical constraints
- Autonomous across the entire stack — you don't need to manage me technically
- I've already made the mistakes on a real product: I know where time is wasted and how to avoid it
- Early-stage founders who want to ship an AI-powered SaaS MVP
- Startups transitioning from POC to production product
- Teams needing reinforcement in the data/ML area
- ML & AI — LLM Fine-tuning · RAG · PyTorch · TensorFlow · scikit-learn
- Backend & data — FastAPI · BigQuery · Supabase · PostgreSQL · event-driven pipelines
- Frontend & product — Next.js · React · Vercel · Clerk · Stripe
- Infra & cloud — GCP · Terraform · Docker · Cloud Run
French
Native or bilingual
English
Fluent
Russian
Native or bilingual
Experience
- Startup IA (stealth)Co-founder & CTOSOFTWARE PUBLISHINGFebruary 2025 - Today (1 year and 4 months)Paris, FranceFull development of an AI B2B SaaS, from design to production deployment.
- End-to-end ML pipeline: LLM fine-tuning (OpenAI, Vertex AI), evaluation, dual-backend serving in production
- Event-driven architecture on GCP, BigQuery data warehouse, 100% Terraform infra
- Full product integrations: auth (Clerk), payments (Stripe), third-party webhooks (Lemlist, Customer.io, n8n)
- DeezerPhDNovember 2020 - December 2024 (4 years and 1 month)Paris, FranceIndustrial thesis on music recommendation systems. Training and evaluation of ML models on large-scale streaming data.
- DeezerBackend EngineerApril 2020 - October 2020 (6 months)Île-de-France, FranceDevelopment of a Python/FastAPI backend service for importing user data from third-party platforms.
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Education
- PhD in Computer Science - Recommendation SystemsUniversité Sorbonne Paris Nord2024
- Master in Computer Science - Data Exploration and Business IntelligenceUniversité Sorbonne Paris Nord2020