Hakeem Yar Baig — Co-Founder & COO at BeeNeural | AI/ML Specialist | Neo4j Certified Professional 2025 | AI Agents & MLOps Engineer

Work Experience

Co-Founder & COO - BeeNeural.AI (AI/ML and Graph Solutions Projects)

Duration: February 2024 - Present

Summary:

• BeeNeural is a technology company specializing in AI/ML, MLOps, DevOps, and data engineering solutions
• The company delivers custom AI agents, advanced analytics dashboards, and graph-powered solutions, focusing on NLP, computer vision, AI agent architectures, business intelligence, and SaaS AI development

Responsibilities:

• Leading the company operations and strategic direction in AI/ML and data engineering.
• Overseeing the design, deployment, and scaling of machine learning systems in production environments.
• Driving innovation in graph and knowledge engineering using Neo4j technologies.
• Managing remote teams and projects to deliver scalable AI solutions.

Technologies: Python, PyTorch, TensorFlow, Neo4j, Cypher, AWS, MLflow, Hugging Face, Docker, Power BI

Machine Learning Engineer - cloudlem (Machine Learning Engineering Projects)

Duration: October 2022 - February 2024

Summary: Worked on machine learning projects involving time series forecasting and object detection, applying advanced LSTM networks and object detection frameworks to real-world datasets.

Responsibilities:

• Developed and implemented machine learning models for forecasting and object detection.
• Handled data analysis and preprocessing for real-world datasets.
• Collaborated with cross-functional teams to integrate ML models into production.

Technologies: LSTM networks, object detection frameworks, Python

DevOps Engineer - cloudlem (DevOps and MLOps Projects)

Duration: October 2022 - November 2023

Summary: Focused on DevOps and MLOps practices including CI/CD, containerization, cloud deployments, and model monitoring to support machine learning projects and infrastructure.

Responsibilities:

• Implemented CI/CD pipelines for ML projects.
• Managed containerization and cloud deployment using AWS and Docker.
• Monitored machine learning models using MLflow and Hugging Face tools.

Technologies: AWS, Docker, MLflow, Hugging Face, CI/CD

Machine Learning Engineer Intern - YoungDev (Internship Projects in Machine Learning)

Duration: November 2023 - December 2023

Summary: Internship focused on gaining advanced proficiency in LSTM networks for time series forecasting and practical application of object detection frameworks using real-world datasets.

Responsibilities:

• Learned and applied LSTM networks for forecasting tasks.
• Worked with object detection frameworks on real datasets.
• Enhanced data analysis skills through hands-on experience.

Technologies: LSTM networks, object detection frameworks, Python

Education

• Karakurram International University
  Bachelor of Science - BS, Computer Science
  August 2018 - October 2022
  
• Aga Khan Higher Secondary School, Gilgit
  High School Diploma, Pre-Engineering
  May 2016 - May 2018
  
• Aga Khan Higher Secondary School, Gilgit
  Middle School Diploma
  March 2013 - May 2015
  

Certification

• Neo4j Certified Professional
  2025
  
• Prepare, Clean, Transform, and Load Data using Power BI
  
• Supervised Machine Learning: Regression and Classification
  
• MLOps Tools: MLflow and Hugging Face
  
• AWS AI & ML Scholars
  
• Introduction to Generative AI