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AI engineer with three years building production systems: LLM fine-tuning, RAG pipelines, and end-to-end ML backends. I've delivered projects solo for international clients, from raw data ingestion to deployed, optimized services. Strong on retrieval and inference optimization, microservices architecture, and LLM-powered APIs, working mostly in Python with PyTorch, LangChain, FastAPI, and Qdrant. B.S. in Artificial Intelligence.…AI engineer with three years building production systems: LLM fine-tuning, RAG pipelines, and end-to-end ML backends. I've delivered projects solo for international clients, from raw data ingestion to deployed, optimized services. Strong on retrieval and inference optimization, microservices architecture, and LLM-powered APIs, working mostly in Python with PyTorch, LangChain, FastAPI, and Qdrant. B.S. in Artificial Intelligence.

Muhammad Ahmad Mujtaba

AI Engineer, Full Stack Developer, Programmer, +6

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AI engineer with three years building production systems: LLM fine-tuning, RAG pipelines, and end-to-end ML backends. I've delivered projects solo for international clients, from raw data ingestion to deployed, optimized services. Strong on retrieval and inference optimization, microservices architecture, and LLM-powered APIs, working mostly in Python with PyTorch, LangChain, FastAPI, and Qdrant. B.S. in Artificial Intelligence.…AI engineer with three years building production systems: LLM fine-tuning, RAG pipelines, and end-to-end ML backends. I've delivered projects solo for international clients, from raw data ingestion to deployed, optimized services. Strong on retrieval and inference optimization, microservices architecture, and LLM-powered APIs, working mostly in Python with PyTorch, LangChain, FastAPI, and Qdrant. B.S. in Artificial Intelligence.

Available to hire

AI engineer with three years building production systems: LLM fine-tuning, RAG pipelines, and end-to-end ML backends. I’ve delivered projects solo for international clients, from raw data ingestion to deployed, optimized services. Strong on retrieval and inference optimization, microservices architecture, and LLM-powered APIs, working mostly in Python with PyTorch, LangChain, FastAPI, and Qdrant. B.S. in Artificial Intelligence.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Freelance AI Engineer

January 1, 2025 - Present

Built a taxonomy-driven RAG recommendation system using Qdrant, creating embeddings based on semantic taxonomies to reduce query time. Migrated a monolithic setup to an async microservices architecture to support 40-50 concurrent users. Developed end-to-end data pipelines including web scraping, LLM-based JSON cleaning/structuring, and entity extraction prior to embedding. Sole engineer on an AI pricing recommender: implemented the full pipeline from Supabase ingestion to SKU classification, STL decomposition, and LightGBM demand forecasting (tweedie + quantile). Added elasticity simulation and a two-phase price optimizer with per-SKU explainability.

Junior AI Engineer (Contract) at EnD evSols LLC

May 1, 2024 - June 1, 2025

Fine-tuned and deployed generative AI, NLP, and computer vision models. Led LoRA/QLoRA-based LLM fine-tuning workflows. Designed and maintained automated training pipelines on DigitalOcean and physical GPU servers. Contributed to LangChain and RAG-based product integrations alongside the core engineering team.

AI Engineer Intern at EnD evSols LLC

June 1, 2023 - April 1, 2024

Trained and deployed models; handled data preprocessing, integrated vector databases, and built APIs using FastAPI.