Open to opportunities

Mohib Mughal

@mohibmughal

Message

I build AI systems using knowledge graphs, RAG pipelines, machine learning, and LLM-agent evaluation.

Pakistan

Message

What I'm looking for

I'm looking to build reliable AI products where I can apply machine learning, RAG, knowledge graphs, data pipelines, and LLM evaluation in production-oriented workflows.

At Nolyth, I build Neo4j knowledge graphs and end-to-end machine-learning workflows that turn complex enterprise data into connected, explainable insights.

I also containerize AI and analytics components with Docker, support cloud deployment, and use Git, CI/CD, testing, Jira, and documentation to deliver reproducible production workflows. My work includes investigating data-quality issues such as duplicates, schema inconsistencies, identifier mismatches, join behavior, and lineage problems.

Previously at Devsinc, I built a RAG-based MVP for restaurant chefs, covering PDF and text ingestion, OCR extraction, chunking, embeddings, semantic search, contextual retrieval, and ingredient-report generation.

I've also created RLHF evaluation tasks for LLM agents, built real-time LSTM trading analytics, trained an explainable PyTorch CNN, and fine-tuned DistilBERT for a customer-service chatbot.

Experience

Work history, roles, and key accomplishments

Current

Artificial Intelligence Engineer

Current

Nolyth

Mar 2026 - Present (5 months)

Design and build Neo4j knowledge graphs from complex enterprise data, and develop end-to-end machine-learning workflows with Python, SQL, and distributed processing. Containerize AI components with Docker, support cloud deployment, and ensure reliable delivery through CI/CD and documentation.

Python SQL Neo4j Knowledge Graphs Graph Analytics Docker cloud deployment CI CD Git Jira Testing Technical Documentation data preprocessing Feature Engineering Model Validation

Associate Software Engineer

Devsinc

Jan 2026 - Feb 2026 (1 month)

Built an end-to-end RAG-based MVP for ingredient recommendations, implementing text and PDF ingestion, OCR extraction, chunking, embeddings, semantic search, and report generation. Integrated and tested the retrieval pipeline for quality and reliability.

Python RAG OCR Embeddings Semantic Search PDF Processing Testing Integration

Software Engineer AI/ML

Devsinc

Nov 2025 - Jan 2026 (2 months)

Created RLHF evaluation tasks and prompts for LLM agents in tool-use environments, evaluating reasoning, instruction following, and tool selection. Defined verification criteria and refined tasks through manual validation and feedback.

Python LLM Evaluation Prompt Engineering Tool Use Quality Assurance