Full-Stack Developer, DevOps & AI Engineer
BUILDING
INTELLIGENT
SOFTWARE.

I design and engineer LLM-powered products, scalable APIs, and interfaces that feel effortless. Turning complex AI into products people actually use.

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100+
PROJECTS
12+
YEARS
100+
CLIENTS
01About Me
Simeon Ivanov
Simeon Ivanov
AI Expert/Developer/Engineer, DevOps, and Full-Stack Developer

I'm a software engineer and DevOps architect with 12+ years of experience building and scaling products across Python, Java, JavaScript, and PHP, using frameworks like Spring, Django, FastAPI, Angular, React and more. I've designed and operated cloud-native platforms on AWS and GKE with Kubernetes and Docker, with a strong focus on reliability, performance, security and delivery speed. My current focus is AI-first product engineering: building machine learning and agentic systems with PyTorch, NumPy, Pandas, and LangChain to turn cutting-edge models into practical business outcomes.

EXPWork Experience
4 COMPANIES
Lead Full Stack Engineer/Developer
2020 — Present

Architected and operated cloud-native platforms across AWS and GKE using Kubernetes and Docker, while designing and developing robust Java applications and production-ready AI agents with Python, PyTorch, and LangChain.

PythonLangChainOpenAI APIQdrantJavaSpringFastAPIAWSDockerKubernetesAngular
Full-Stack Engineer
2019 — 2020

Engineered ship chartering and freight execution platforms on Kubernetes across cloud and on-prem clusters, building high-throughput services in Python, Java, and PHP and delivering Angular/React interfaces for booking, scheduling, and end-to-end cargo visibility.

PythonPHPJavaSpringSymfonyReactTypeScriptNode.jsMySQLRedisKubernetes
Full-Stack Developer
2016 — 2019

Owned the full lifecycle of on-demand B2B services, from product management and requirements discovery through architecture, development, testing, maintenance, deployment, and production monitoring to ensure reliable, scalable delivery.

JavaPHPAngularJSSymfonySpringMariaDBKubernetes
Software Engineer
2014 — 2016

Architected and developed custom WordPress plugins and themes, delivering scalable, maintainable solutions tailored to client workflows, performance goals, and brand requirements.

PHPJavaScriptWordPressMySQL
02Services
All engagements include weekly updates & Slack access
01
AI Integration
1 – 30 days
02
Full-Stack Development
1 – 30 days
03
DevOps & Infrastructure
1 – 30 days
04
Data Pipelines
1 – 30 days
01
SERVICE 01

AI Integration

LLM pipelines, RAG systems, and intelligent features embedded directly into your product. From proof-of-concept to production-grade infrastructure.

What's included
Custom RAG pipeline with vector search including chunking, embedding caching, async ingestion, and hybrid BM25 + vector retrieval
LLM selection, prompt engineering & evaluation
Streaming API with cost & latency optimisation
Observability: tracing, logging, evals dashboard
Handoff documentation & team walkthrough
Tech Stack
LangChainOpenAIClaudeQdrantPineconeFastAPIAWS
Timeline
1 – 30 days
Typical engagement: 1–8 weeks depending on scope. Includes one round of revisions post-launch.
03PortfolioCLICK TO EXPAND
14 projects
04Writing
ALL POSTS →
01
Agent Reliability Blueprint: SLOs, Guardrails, and Human Override
LLMAgentsDevOpsAI
MAR 2026
3 MIN
02
Why RAG beats fine-tuning for most use cases
LLMRAGAI
FEB 2025
2 MIN
03
Building a production LLM pipeline in 2025
LLMDevOpsAI
JAN 2025
2 MIN