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Package Description:
Work 1:1 with an experienced AI/ML engineer to build practical skills in large language models, one of the most in-demand technical specializations in the field today. Possible uses of coaching sessions, but not limited to: - LLM fine-tuning techniques - Retrieval-augmented generation architecture and implementation - Prompt engineering for production systems - LLM evaluation, benchmarking, and quality measurement - Deploying and serving LLMs at scale - Building applications on top of LLM APIs (OpenAI, Anthropic, etc.) - AI code review on your LLM projects
What you'll get from this package
Hands-on expertise in LLM fine-tuning and deployment techniques
A clear framework for deciding between fine-tuning, RAG, and prompt engineering
Skills to evaluate and improve LLM quality in production
Stronger positioning as an LLM specialist in one of the fastest-growing areas of AI
Additional details
Coaching delivered via live sessions and .
Services included:
Technical Skills
Prompt Engineering
AI Research
Model Development
LLM Fine-Tuning
AI Code Review
Talk to a team member
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
More packages from Kamal
Custom hourly · $79/hr
Get help with AI Fundamentals, Prompt Engineering, and .
Offered by Kamal D.
Joined June 2026
Build production-ready AI and ML systems
I bring hands-on experience in AI, machine learning, data science, and production-grade GenAI engineering, with a focus on building practical solutions that solve real business problems. My experience includes designing and implementing AI-powered applications, RAG systems, LLM-based analytics tools, and agentic solutions that help teams automate workflows, retrieve knowledge, and generate insights from enterprise data. I have built agentic AI solutions using different frameworks and implemented them in production environments. I have worked across the full lifecycle, from problem definition and prototype development to model integration, evaluation, deployment, and scaling. My experience also includes implementing key production components such as memory, observability, traceability, human-in-the-loop workflows, evaluation, and guardrails. I can help customers understand not only the concepts behind AI and ML engineering, but also the practical architecture and implementation steps needed to move from prototype to reliable production-ready AI systems.
Starting at $375.25
5h+ of coaching