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Hi, I'm Muhammad Furqan, an AI/ML Engineer with over 9 years of experience building intelligent systems across various industries including tech, healthcare, retail, and finance. I specialize in NLP, computer vision, and generative AI, focusing on large language models and MLOps to deploy scalable, production-ready ML solutions. I enjoy translating complex AI research into applications that deliver real business impact. I have led projects involving LLM-based generative AI features, built robust ML pipelines, and optimized models for efficiency and accuracy. My goal is to keep pushing the boundaries with AI to solve meaningful problems and enhance user experiences.…Hi, I'm Muhammad Furqan, an AI/ML Engineer with over 9 years of experience building intelligent systems across various industries including tech, healthcare, retail, and finance. I specialize in NLP, computer vision, and generative AI, focusing on large language models and MLOps to deploy scalable, production-ready ML solutions. I enjoy translating complex AI research into applications that deliver real business impact. I have led projects involving LLM-based generative AI features, built robust ML pipelines, and optimized models for efficiency and accuracy. My goal is to keep pushing the boundaries with AI to solve meaningful problems and enhance user experiences.

Muhammad Furqan

AI Engineer, Data Scientist, Developer, +2

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Hi, I'm Muhammad Furqan, an AI/ML Engineer with over 9 years of experience building intelligent systems across various industries including tech, healthcare, retail, and finance. I specialize in NLP, computer vision, and generative AI, focusing on large language models and MLOps to deploy scalable, production-ready ML solutions. I enjoy translating complex AI research into applications that deliver real business impact. I have led projects involving LLM-based generative AI features, built robust ML pipelines, and optimized models for efficiency and accuracy. My goal is to keep pushing the boundaries with AI to solve meaningful problems and enhance user experiences.…Hi, I'm Muhammad Furqan, an AI/ML Engineer with over 9 years of experience building intelligent systems across various industries including tech, healthcare, retail, and finance. I specialize in NLP, computer vision, and generative AI, focusing on large language models and MLOps to deploy scalable, production-ready ML solutions. I enjoy translating complex AI research into applications that deliver real business impact. I have led projects involving LLM-based generative AI features, built robust ML pipelines, and optimized models for efficiency and accuracy. My goal is to keep pushing the boundaries with AI to solve meaningful problems and enhance user experiences.

Available to hire

Hi, I’m Muhammad Furqan, an AI/ML Engineer with over 9 years of experience building intelligent systems across various industries including tech, healthcare, retail, and finance. I specialize in NLP, computer vision, and generative AI, focusing on large language models and MLOps to deploy scalable, production-ready ML solutions. I enjoy translating complex AI research into applications that deliver real business impact.

I have led projects involving LLM-based generative AI features, built robust ML pipelines, and optimized models for efficiency and accuracy. My goal is to keep pushing the boundaries with AI to solve meaningful problems and enhance user experiences.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Javanese

Advanced

Work Experience

Senior AI/ML Engineer at NexMind Technologies

March 1, 2022 - Present

Led architecture and deployment of LLM-based GenAI features (GPT-4, BERT) for enterprise productivity tools. Designed RAG systems using LangChain + Faiss, improving contextual search accuracy by 60%. Built NLP pipelines for named entity recognition and intent classification using Hugging Face Transformers. Reduced inference latency by 40% via quantization and pruning in PyTorch models. Created robust MLOps pipelines with MLflow, Airflow, and Docker for reproducibility. Spearheaded A/B testing and real-time monitoring, improving user engagement by 30%.

Machine Learning Engineer at Health Sphere Analytics

February 28, 2022 - July 24, 2025

Developed predictive models for patient readmission, increasing hospital efficiency by 22%. Applied convolutional neural networks on chest x-rays for radiology support achieving 94% classification accuracy. Built time-series models on EMR and vitals data for early disease detection. Integrated SHAP/LIME for interpretable predictions and FDA compliance. Deployed RESTful ML services on GCP with minimal latency under hospital workloads.

Data Analyst → Junior ML Engineer at Finverse Technologies

December 31, 2018 - July 24, 2025

Automated manual financial data analysis with Python and SQL; promoted to machine learning engineer. Developed credit scoring models using logistic regression and tree-based methods. Implemented fraud detection via anomaly detection and clustering algorithms. Improved reporting latency by 40% via ETL automation.

ML Engineer / Data Scientist at RetailLogic Inc

March 31, 2017 - July 24, 2025

Built dynamic pricing, churn prediction, and demand forecasting models. Improved pricing margin by $1.5M per year via ML-based optimization. Designed recommender systems using deep collaborative filtering in TensorFlow. Shifted the organization from ad-hoc notebooks to automated ML pipelines.