Kostadin Devedzhiev | Education

Education

University of Cambridge

Master of Philosophy in Human-Inspired AI

Expected Graduation: June 2026

Centre for Human-Inspired Artificial Intelligence

Stony Brook University

Bachelor of Science in Computer Science and Applied Mathematics & Statistics

Computer Science Honors Program

Artificial Intelligence & Data Science Specialization

Summa Cum Laude | 3.89/4.00 GPA

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Stony Brook University

University of Hawaii at Hilo

One Year National Student Exchange Program

Computer Science Major | GPA: 3.97/4.00

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University of Hawaii at Hilo

Certificates

IBM Generative AI Engineering

IBM Generative AI Engineering with LLMs

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IBM Generative AI Engineering Professional Certificate

Generative AI Applications Specialist

Generative AI Foundational Models for NLP & Language Understanding

Generative AI and LLMs: Architecture and Data Preparation

MCP: Build Rich-Context AI Apps with Anthropic

Advanced Retrieval for AI with Chroma

AI Agents in LangGraph

Deep Learning Essentials with Keras

Machine Learning with Python (V2)

Building Generative AI-Powered Applications with Python

Generative AI Essentials

Data Analysis with Python

Generative AI: Prompt Engineering

Artificial Intelligence Essentials V2

Generative AI Language Modeling with Transformers

Generative AI Advanced Fine-Tuning for LLMs

Python Project for AI and Application Development

AI Agents Using RAG and LangChain

Generative AI Engineering with Transformers & LLMs

Technical Skills

Programming Languages	Python \| JavaScript \| TypeScript
Frontend	Angular \| React \| Tailwind
Backend & APIs	FastAPI \| NodeJS \| Express \| Flask
Databases	MongoDB \| Elastic Search \| Pinecone \| PostgreSQL \| Redis
Data Science & ML	Pandas \| NumPy \| Scikit-learn \| Plotly
Deep Learning	PyTorch \| Hugging Face
AI Frameworks	LangChain \| LangGraph
DevOps	Docker

Favorite Online Courses

Stanford University

CS224N: NLP with Deep Learning

CS224U: Natural Language Understanding

CS231N: Deep Learning for CV

MIT

6.S191: Deep Learning

6.824: Distributed Systems

The Missing Semester of Your CS Education

Other

SBU CSE 373: Analysis of Algorithms

Favorite Textbooks

Designing Data-Intensive Applications by Martin Kleppmann

The Algorithm Design Manual by Steven S. Skiena

Speech and Language Processing by Dan Jurafsky & James H. Martin

Introduction to Linear Algebra: Models, Methods and Theory by Alan Tucker

System Design Interview by Alex Xu

Introduction to Information Retrieval by Christopher Manning, Prabhakar Raghavan & Hinrich Schütze