From RAG pipelines and autonomous agents to fine-tuned domain-specific models — I engineer intelligent AI systems that integrate seamlessly into your web applications and business workflows.
I work with the full modern AI/LLM stack — from local open-source models to cloud API integrations, agent frameworks, and training pipelines.
Retrieval-Augmented Generation: connecting LLMs to your own private knowledge bases for accurate, grounded responses.
Building production-grade LLM chains, agents, and tools pipelines for complex multi-step AI workflows.
Designing stateful, multi-actor LLM graphs with conditional routing, human-in-the-loop, and cyclic agent loops.
Running and fine-tuning open-source LLMs locally (Llama 3, Mistral, Gemma) via Ollama for private, cost-efficient deployments.
Training domain-specific models using LoRA, QLoRA, and PEFT techniques so the AI speaks your brand language.
Connecting LLMs to structured and unstructured data with advanced indexing strategies, query engines, and data loaders.
Building autonomous AI agents that reason, plan, and take multi-step actions using tool calling and memory systems.
Leveraging transformers, tokenizers, datasets, and model hubs for NLP, vision, and multimodal AI applications.
Context-aware chatbots trained on your docs, FAQs, and databases, integrated into your web app.
Semantic search engines that retrieve and synthesize answers from your private knowledge base.
Agents that browse the web, call APIs, run code, and complete multi-step tasks without supervision.
Embedding LLM-powered features (summaries, classifications, Q&A) directly into your product.
Private, on-premise AI deployments using Ollama for compliance-sensitive environments.
Let's build intelligent systems that automate workflows, enhance user experience, and give your business a competitive edge.
Free architecture consultation
Open-source & API-based solutions
Full integration into your existing stack
Understanding your data, goals, and the right AI architecture for your problem domain.
Building robust ingestion pipelines for documents, APIs, and databases into vector stores.
Choosing the right LLM (open-source or API-based) and connecting it via LangChain/LlamaIndex.
Developing intelligent agents with tool-calling, memory, and real-time reasoning capabilities.
Applying PEFT techniques and running quantitative evaluations to optimize model accuracy.
Shipping production-ready AI to cloud infrastructure with health checks and usage tracking.
We have successfully built and deployed high-performance, scalable web systems for clients worldwide.