Kostadin Devedzhiev | Education

Education

University of Cambridge

Master of Philosophy in Human-Inspired AI

Cambridge AI Research Society

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

View Transcript

Stony Brook University

University of Hawaii at Hilo

One Year National Student Exchange Program

Computer Science Major | GPA: 3.97/4.00

View Transcript

University of Hawaii at Hilo

Certificates

IBM Generative AI Engineering

IBM Generative AI Engineering with LLMs

View all certificates on Credly

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

CS234: Reinforcement Learning

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