Image
Image
Image
M
Muhammad Moiz Akram
Ml-engineer
AI / Machine Learning
Build Custom AI Agents RAG Systems and Machine Learning Pipelines
PROJECT DETAILS
Project Description
I will design, develop, and deploy production-ready artificial intelligence solutions, autonomous AI agents, and retrieval-augmented generation RAG systems tailored to your technical needs.
As an engineer with specialized research and hands-on experience in computer vision, deep learning, and multi-modal autonomous systems, I focus on building reliable software solutions.
What I offer in this service:Custom Autonomous AI Agents: Development of multi-modal agents leveraging advanced reasoning frameworks such as ReAct with Claude API or GPT-4, integrated with custom tools, guardrails, and persistent memory systems.
Advanced RAG Solutions: Vector database architecture using ChromaDB and FAISS paired with domain-specific LLM embeddings for ultra-fast, accurate search over extensive document bases.
Machine Learning and Deep Learning: End-to-end model development including XGBoost, LightGBM, 3D-CNNs, and ResNet models with model explainability SHAP integration.
Deployment and APIs: Converting AI models into high-performance FastAPI microservices and building interactive Streamlit data dashboards for seamless production use.
I prioritize clean architecture, high throughput execution, and complete documentation. Reach out today to discuss your project requirements before placing an order.
As an engineer with specialized research and hands-on experience in computer vision, deep learning, and multi-modal autonomous systems, I focus on building reliable software solutions.
What I offer in this service:Custom Autonomous AI Agents: Development of multi-modal agents leveraging advanced reasoning frameworks such as ReAct with Claude API or GPT-4, integrated with custom tools, guardrails, and persistent memory systems.
Advanced RAG Solutions: Vector database architecture using ChromaDB and FAISS paired with domain-specific LLM embeddings for ultra-fast, accurate search over extensive document bases.
Machine Learning and Deep Learning: End-to-end model development including XGBoost, LightGBM, 3D-CNNs, and ResNet models with model explainability SHAP integration.
Deployment and APIs: Converting AI models into high-performance FastAPI microservices and building interactive Streamlit data dashboards for seamless production use.
I prioritize clean architecture, high throughput execution, and complete documentation. Reach out today to discuss your project requirements before placing an order.