Derezar Master

Available to hire

I’m a London-based AI and data-minded student intern focused on building reliable, scalable extraction and analytics pipelines with Python and LLMs.

About

I’m a London-based AI and data-minded student intern focused on building reliable, scalable extraction and analytics pipelines with Python and LLMs. At Palate Labs, I ship production pull requests for an end-to-end system that extracts and structures restaurant menus from websites and PDFs, including robust detection for menus spread across multiple documents. I also help generate evaluation ground truth and design cost/speed observability so experiments can measure both efficiency and downstream “taste profile” impact.

Alongside my internship, I’ve built valuation and research models through equity research projects and a momentum backtester, and I’m currently leading an LLM-powered equity screener and portfolio builder for a UK/US investment initiative. My background also includes transfer pricing benchmarking work at Deloitte and operations automation at Master Marine Services, which strengthened my focus on accuracy, documentation, and practical delivery. I enjoy combining finance and engineering to turn messy real-world data into decisions that stand up to testing.

  • Joined October 2026

Industry experience

  • Financial Services
  • Software & Internet
  • Professional Services
  • Transportation & Logistics
  • Media & Entertainment
  • Other

Projects · 5

Work experience· 8 roles

AI Product Intern · Palate Labs (London AI startup)Oct 2026 – Present · 2 mos

Shipped production Python pull requests for an LLM pipeline that extracts and structures restaurant menus from websites and PDFs at scale. Built detection for menus split across multiple documents and added a fetch-all-and-merge path behind a feature flag (merged detection; merge path awaiting a paid trial). Hand-labelled and QA’d 244 menus against live restaurant sites across two batches to create ground-truth for evaluation. Designed pipeline cost and speed observability, including token-cost aggregation and dashboard panels. Ran a 200-venue experiment to measure cost and the taste-profile impact of adding drinks menus.

AI Product Intern · Palate LabsOct 2026 – Present · 2 mos

I ship pull requests to Palate Labs' production Python restaurant-data pipeline: menu extraction, OCR and image handling, and the tests that guard them.

Intern, Transfer Pricing (Tax) · Deloitte IndiaJun 2025 – Jul 2025 · 2 mos

Performed benchmarking and comparability analysis using Prowess and international databases for multinational clients. Prepared transfer pricing documentation aligned to OECD guidelines and Indian rules, supporting senior consultants with compliance deliverables.

Transfer Pricing Intern · Deloitte IndiaJun 2025 – Jul 2025 · 2 mos
Founder and AI automation developer · Velocity AutomationsJan 2025 – Present · 1 yr 11 mos
AI and automation developer · Master Marine ServicesJan 2024 – Present · 2 yrs 11 mos
Business Support, Operations and Automation · Master Marine Services (Master Group)Jan 2023 – Dec 2026 · 4 yrs
Legal Intern · Zerek Dastur Advocates and SolicitorsFeb 2022 – May 2022 · 4 mos

Education· 5

BSc (Hons) Business · Northeastern University London2026 – 2027

Final-year top-up. Elective: Machine Learning and Data Mining.

BSc Business (Hons), final-year top-up · Northeastern University London2026 – 2027
Bachelor of Business Administration (years 1–2) · Atlas SkillTech University2024 – 2026
BSc Business (Hons), final-year top-up · Northeastern University London2026 – 2027

Certifications and awards

CFA Level 1 (passed)2026
CFA Institute Program Level I (passed)2026
CFA Program Level I (passed)2026

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