Atanas Yonkov Profile Picture

Atanas Yonkov

Software Engineer from Sofia, Bulgaria

Fullstack Engineer with 3+ years of experience building web applications for enterprise clients. Currently extending AI-powered agentic systems using LangChain and LangGraph at KPMG, while independently architecting a production-grade ERP system (React, FastAPI, PostgreSQL, Docker, Nginx) end-to-end. Master's from University of Amsterdam with Distinction, specializing in intelligent systems and HCI. Comfortable owning systems end-to-end, from schema design to deployment.

SKILLS


Languages

TypeScript, JavaScript, Python, SQL

Frontend

React, Next.js, Vue 2/3, TanStack Query, Redux, Vuex, Pinia, Tailwind CSS

Backend

Node.js, Express, FastAPI, Apollo GraphQL, REST APIs

AI/LLM

LangChain, LangGraph, AI Agents, Prompt Engineering

Databases

PostgreSQL, MongoDB, TSQL, SQLAlchemy, Prisma ORM, Knex.js

DevOps & Tools

Docker, Docker Compose, Nginx, Git, CI/CD, Webpack

Validation & Testing

Zod, Pydantic, React Hook Form, pytest

Concepts

OOP, Functional Programming, RESTful Design, GraphQL, Microservices

EXPERIENCE


Software Engineer at KPMG ITS

Sofia, Bulgaria

September 2024 – Present

  • Extend AI-powered agentic platform using LangChain and LangGraph that enables real-time client interaction with large-scale fiscal data (implemented Azure integration, multiprocessing for concurrent user sessions, and auto-scaling worker instances).

  • Build and extend internal Vue.js platform components serving multiple concurrent client engagements, improving feature delivery through reusable, modular architecture.

  • Mentor junior developers on codebase onboarding, PR review practices, and frontend architecture patterns.

  • Automate generation of data-driven reports (Excel, PowerPoint, PDF), eliminating manual workflows and ensuring cross-business-unit consistency.

Research Engineer at CWI & University of Amsterdam

Amsterdam, The Netherlands

February 2024 – June 2024 (5m)

  • Designed user study (n=16) with 7-test validation pipeline; built data collection system and delivered actionable product recommendations based on quantitative analysis.

Software Engineer at Merkle (Dentsu)

Sofia, Bulgaria

April 2022 – September 2023 (1y 6m)

  • Built environment management system adopted company-wide, enabling on-demand sandbox provisioning with automated dev/prod sync — reduced setup time by approximately 80%.

  • Developed internal employee rewards platform (Next.js, Apollo GraphQL, Knex.js), streamlining peer recognition and improving engagement.

Software Engineer Intern at GILO Technologies

Rijswijk, The Netherlands

July 2021 – February 2022 (8m)

  • Built core integration layer for Google Docs and Microsoft Word add-ons using TypeScript and Node.js.

  • Delivered production features for document automation used by end-customers for contract management.

PROJECTS

Full-stack
React
TypeScript
FastAPI
PostgreSQL
Docker
3D Printing ERP System
Built 3D printing ERP solving manufacturing inventory challenges. Tackled complex filament tracking and print job workflows. Features AI-powered insights for predictive inventory and usage analytics. Architected clean microservices with role-based authorization, activity logging, and dashboard analytics. Delivered production-ready solution with containerized deployment and CI/CD pipelines, demonstrating full-stack ownership and deep manufacturing domain expertise.
Full-stack
Next.js
FastAPI
MongoDB
NLP
Legal Norm Extractor
ML-powered tool for extracting formal normative models from legal text. Built with FastAPI backend, Next.js frontend, and MongoDB. Collaborated with TNO (Dutch research org) to apply NLP techniques to real regulatory documents.
Next.js
D3.js
Chart.js
Data Visualization
Data Science Salary Explorer
Interactive dashboard analyzing 3,500+ salary records across roles, experience levels, and regions. Built with Next.js and D3.js/Chart.js for dynamic visualizations.

EDUCATION


Master of Science in Information Systems

University of Amsterdam

August 2023 – June 2024

Distinction (Cum Laude)

  • Specialized in intelligent systems, human-computer interaction, and data-driven product design.

  • Thesis research conducted at CWI (Dutch national research institute) — designed user study with 16 participants and built data analysis pipeline.

Bachelor of Science in ICT

Fontys University of Applied Sciences

August 2019 – August 2023

  • Erasmus exchange at Halmstad University (Sweden) — Computer Networks minor, Cisco CCNA fundamentals.

  • Built full-stack web applications across multiple team-based industry projects.

CERTIFICATES


AI Integrations for Developers

August 2025

SoftUni AI

  • LangChain & LangGraph
  • Vector Databases & Embeddings
  • OpenAI & Anthropic API Integration
Credential ID: 9505/a67b3aca

AI Tools for Developers

June 2025

SoftUni AI

  • GitHub Copilot & Cursor AI
  • Claude in Development
  • Multi-Tool AI Integration
Credential ID: 8371/ea40f643