Michal Kaszubski

MSc Artificial Intelligence and Medical Imaging, UCL, on track for Distinction

Department of Medical Physics and Biomedical Engineering, London

• Focus: high-dimensional medical image analysis (MRI and CT), deep learning and foundation models, image reconstruction and inverse problems, robustness and evaluation of AI in safety-critical settings.
• Trained and fine-tuned convolutional and transformer models on UCL’s GPU clusters, optimising memory use and run time for medical imaging data.

BSc (Hons) Computer Science, City, University of London, 2:1

• President, City Wealth Management Society: led a society of 115+ members, secured external sponsorship and a Bright Network partnership, and organised competitions and speaker events including Paul Donovan of UBS.
• President, Polish Society: grew membership from 0 to 100+ in one year, winning City SU’s 2023 Most Improved Society Award.

Managing Director and AI Engineer, Neuraltake Limited (NeuralTake), London

• Founded an AI consultancy that automates manual workflows for professional services firms: a two-week embedded workflow audit with a ranked punch list, then fixed-fee builds live in two to six weeks, with thirty days of post-launch defect cover.
• Secured and delivered signed B2B AI software and consultancy contracts end to end, owning stakeholder discovery, scoping, requirements, architecture, delivery, onboarding, support and roadmap.
• Designed, built and deployed a production AI SaaS in Django, React and PostgreSQL, supporting AI-assisted content generation, multilingual workflows, payments and seven third-party integrations, for approximately 50 business users.
• Took a client platform from prototype to production through a security audit, encryption at rest, MFA, GDPR-aligned deletion and a zero-data-loss live migration from SQLite to PostgreSQL.

Quantitative Research Consultant, WorldQuant Brain, LLC, London

• Researched and backtested systematic trading signals in Python, evaluating risk-adjusted performance, turnover, decay and robustness.
• Iterated signal formulations and neutralisation choices.
• Documented findings within a global quantitative-research community.

MIQA, MSc thesis: AI for medical image quality assessment, UCL

• Benchmarked ResNet-18/50, DenseNet-121 and EfficientNet-B0 on 1,027 UCLH prostate DWI acquisitions from 627 patients under strict patient-level cross-validation. A three-seed DenseNet-121 ensemble reached mean AUROC 0.819 (SD 0.049 across five folds), up to 0.17 AUROC over classical radiomic baselines.
• Built a heterogeneous multi-architecture ensemble reaching 83.6% retained-case accuracy at 70% coverage in a retrospective triage simulation, deferring uncertain scans for review; distilled it into a single model at about one-ninth of the ensemble’s inference cost.
• Open-sourced a reproducible PyTorch pipeline (MIT) with 700+ training runs, CI tests, paired Wilcoxon tests with bootstrap confidence intervals, Grad-CAM interpretability and synthetic-distortion physics validation.

ChefBot, a cooking assistant built on GPT (personal project)

• Built and deployed a GPT-based cooking assistant on ChatGPT: 25,000+ conversations and a 4.7 rating from 100+ ratings on the GPT store (listing, September 2026). Conversations, not people.
• Designed the multi-step tool-calling and retrieval flows that turn sparse fridge or pantry inputs into a recipe, and iterated the prompts and logic on usage data.

AI Zuzi, a client platform engineered through NeuralTake

• An AI social-media management and content platform for a client company, taken from prototype to production: Django, React and PostgreSQL; publishing to Meta, YouTube, TikTok, Pinterest, Threads, LinkedIn and Google Business Profile, with WordPress blog publishing; generation, Stripe payments and multi-factor sign-in. About 50 business users (stated September 2026).

NeuralKite, acquisition-target intelligence for fragmented UK private markets

• Built a live product that maps private companies, scores targets against an acquisition thesis and produces decision-ready dossiers, around an email discovery and verification engine written at socket level. Next.js and TypeScript, Prisma and PostgreSQL, Claude agents on the Anthropic SDK, a self-hosted warehouse with a 2.8-million-company Crunchbase dataset. Customer and usage figures not published.