Development & IT Consultation with Khadim H.
Development & IT Consultation with Khadim H.
WHAT WE'LL COVER
• Agent architecture: single agent, multi-agent, or just a good prompt and a tool
• RAG that actually retrieves: chunking, embeddings, hybrid search, citations
• Model choice: GPT, Claude, Llama, Mistral, and when a small fine-tuned model is cheaper
• Fine-tuning with LoRA/QLoRA versus prompting versus retrieval, and how to tell which you need
• MCP servers and tool calling, including agent-assisted developer tooling
• Voice AI agents with Vapi, Retell AI and ElevenLabs
• Cost and latency: token spend, caching, quantization, GPU versus API
WHERE I'VE DONE THIS
Production agents and RAG assistants over private company data, LLM fine-tuning (LoRA/QLoRA), vector search with Pinecone, Chroma, Weaviate and Qdrant, deployed on FastAPI, Docker and Kubernetes across AWS, GCP and Azure.
BRING TO THE CALL
What you are building, what data you have, and your budget for inference.
Tech: Python | LangChain | LangGraph | MCP | OpenAI API | Claude API | Ollama | ONNX | TensorRT
Get personalized advice on:
AI & Machine Learning
AI Integration
Chatbot Development
Database Development
Prompt Engineering
agentic ai
langchain
rag
llm fine-tuning
mcp
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About Khadim
AI Engineer | AI Agents, LLM & RAG, Computer Vision, Production ML
100%
Job Success
Multan, Pakistan - 5:01 pm local time
WHAT I DO
AI agents and LLM systems. Agentic AI workflows, tool calling, MCP servers, and RAG that cites its sources instead of inventing them. Vector databases, embeddings, prompt engineering, and fine-tuning with LoRA or QLoRA when a smaller model does the job for less money. Usually LangChain or LangGraph with the OpenAI API, Claude API, or Ollama when it has to stay local. A lot of my recent work is agent-assisted dev tooling: Claude Code, OpenAI Codex, Cursor, Copilot.
AI automation and chatbots. AI automation with n8n, API integration, ETL and data extraction, plus chatbot development for support and internal tools. Python and FastAPI on the backend, React or Next.js on the front when a project needs a face.
Computer vision. Object detection and tracking, image segmentation, anomaly and defect detection, OCR and document extraction, image processing, real-time video. YOLO, OpenCV, PyTorch, TensorFlow. Making these run fast on your hardware is ONNX, TensorRT and Triton work: model optimization, quantization and GPU inference.
Machine learning and deployment. Deep learning model training, evaluation and MLOps. Docker, Kubernetes, CI/CD, Linux, GCP, Azure, AWS, and on-prem or edge GPUs. I've spent a lot of time on the unglamorous part, where a model that behaved perfectly on a laptop has to survive a real environment.
SOME RESULTS
Cut inspection time by roughly 80% with automated visual defect detection for a manufacturer.
Took a production inspection model from about 70% accuracy to 99%+.
Made inference around 70% faster on the same GPUs using TensorRT, ONNX and Triton.
Built RAG assistants over private company data that answer with citations.
Speech recognition and transcription pipelines for media workloads.
HOW I WORK
I move fast, I write code the next person can maintain, and I'll tell you early if I think a target isn't realistic. Not everyone wants to hear that. It still beats finding out in week three.
Send me what you're building and what you'd count as finished, and I'll tell you how I'd approach it and roughly what it takes.
What to expect
Schedule the consultation
Choose from the freelancer’s available days and times.
Get advice for your custom needs
Share details about your project and what you want to talk about. The freelancer will review and reach out if they have questions.
Join the video meeting
1-on-1 meeting with the freelancer to discuss your needs and project.
Approve the work
The freelancer will finish up the documents you asked for and send them to you for approval:
Before the consultation
Here’s what Khadim will need to know before you meet
- What AI system do you need? (AI agent, chatbot, RAG, LLM fine-tuning, diffusion model, voice AI?) Remember this is a Consultation (Strategy), not a Project (Implementation).
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NH
Nodirbek H.
Aug 30, 2026
Full Stack Developer
Working with Khadim has been an absolute pleasure. He is a skilled and proactive engineer who consistently delivers top tier results. Over the past year he has played a crucial role in successfully executing multiple complex projects with high code quality and clear communication. He takes strong ownership of his work, solves difficult challenges independently and always meets deadlines. I highly recommend Khadim to anyone looking for an elite developer. He is also a strong Agentic developer that can automate anything.
IM
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Karthikeya Reddy G.
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Implementation of a simple text classification model.
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