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Building robust AI systems and scalable architectures. Focused on LLM orchestration and Python backend development.

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# Bio

As a Senior Full-Stack Developer and LLM Orchestration Engineer with over a decade of experience, I design and build scalable, high-performance software systems with a deep focus on AI-driven architectures and Large Language Model (LLM) orchestration.

My expertise goes beyond traditional development: I specialize in engineering intelligent systems where LLMs are treated as programmable components, orchestrated through prompt architectures, execution protocols, and multi-agent designs. I combine strong foundations in the Python ecosystem with advanced AI behavior engineering to deliver robust, future-ready, and autonomous solutions.

⚙️ Core Expertise

> AI & LLM Engineering

  • LLM Orchestration & Multi-Agent Systems
  • Prompt Architecture Design (Master Prompts, Meta-Prompts)
  • Agent Decomposition & Role-Based AI (CEO, CTO, Legal, etc.)
  • Reasoning Control, Output Validation & Self-Review Loops
  • Hallucination Mitigation & Deterministic Output Design

> Data, ML & AI Foundations

  • NumPy, pandas, SciPy, scikit-learn
  • TensorFlow, Keras, PyTorch
  • NLP: spaCy, NLTK & Computer Vision: OpenCV
  • ETL pipelines, data modeling, analytics & AI workflows

> Backend & Systems Engineering

  • Python (advanced), Django, Flask, asyncio
  • Event-driven, high-concurrency and distributed systems
  • Clean architecture, system modularization, and service orchestration
  • Multithreading, multiprocessing, distributed task coordination

> API, Cloud & DevOps

  • RESTful APIs, GraphQL
  • CI/CD pipelines, automated testing
  • Cloud-native deployments (AWS, GCP, Azure)
  • Docker, Kubernetes, scalable infrastructure design
  • Network & socket programming, Advanced debugging

🤝 How I Work

I operate at the intersection of business strategy, system architecture, and AI intelligence. My approach focuses on:

Translating complex business requirements into AI-powered, autonomous systems
Designing structured prompt and agent frameworks, not ad-hoc AI usage
Building systems that are explainable, controllable, and production-safe
Continuously refining AI behavior through feedback loops and evaluation layers

I thrive in high-responsibility roles, deliver measurable impact, and engineer solutions that are not only functional today—but adaptable to the evolving AI landscape.

Location: Remote / Worldwide
Status: Open to opportunities
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Languages

PythonTypeScriptJavaScriptSQLBashGo

Frameworks & Libraries

FastAPIDjangoNext.jsReactNode.jsTailwind CSSPyTorchExpress.js

AI & LLM Ecosystem

LLM OrchestrationLangChainLlamaIndexRAG SystemsVector DBsOpenAI/Gemini/Claude APIsHugging FacePrompt Engineering

Cloud & DevOps

DockerKubernetesAWSGitHub ActionsPostgreSQLRedisLinuxVercelNginx
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Follow my tutorials & talks
View Playlist
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I'm currently available for freelance work and new opportunities. If you have a project that needs a robust AI architecture or LLM integration, let's talk.