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@muhammadfurqan1
Professional AI/ML Engineer with over 9 years of experience.
I am a dedicated AI/ML Engineer with over 9 years of experience in developing intelligent systems across various industries, including tech, healthcare, retail, and finance. My expertise lies in machine learning, deep learning, and applied artificial intelligence, with a strong focus on natural language processing (NLP), computer vision (CV), and generative AI. I have a proven track record of architecting and deploying end-to-end ML solutions, from data ingestion and preprocessing to model training, optimization, and scalable deployment in cloud environments.
In my recent role as a Senior AI/ML Engineer at NexMind Technologies, I led the design and deployment of AI solutions using large language models (LLMs) for enterprise productivity tools. I successfully built scalable deep learning models that improved inference speed by 40% and developed MLOps pipelines that enabled automated training and deployment workflows. My ability to collaborate with cross-functional teams and align AI capabilities with customer needs has resulted in significant improvements in user engagement metrics.
Throughout my career, I have consistently focused on leveraging cutting-edge AI technologies to drive measurable business value. I am passionate about building AI applications that enhance operational efficiency and decision-making processes, and I am well-versed in MLOps practices and cloud-native ML systems using AWS, GCP, and Azure.
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Work history, roles, and key accomplishments
NexMind Technologies
Mar 2022 - Present (3 years 8 months)
Led the design and deployment of AI solutions using LLMs (GPT-4, BERT) for enterprise productivity tools, enabling automated document summarization and contextual search. Architected and fine-tuned custom NLP pipelines for entity recognition and intent classification using HuggingFace Transformers.
HealthSphere Analytics
Jan 2019 - Present (6 years 10 months)
Developed and deployed ML models for predicting patient readmissions, improving hospital operational efficiency by 22%. Applied deep learning on medical images (CNNs for chest x-rays) to assist radiologists, achieving 94% classification accuracy.
Finverse Technologies
Apr 2017 - Present (8 years 7 months)
Promoted to ML Engineer role after initiating automation for manual financial data analysis using Python and SQL. Built early-stage credit scoring models using logistic regression and decision trees for underwriting automation.
RetailLogicInc.
Jan 2015 - Present (10 years 10 months)
Built ML models for dynamic pricing, customer churn prediction, and inventory forecasting, increasing margin optimization by $1.5M/year. Deployed deep collaborative filtering recommender systems using Keras and TensorFlow.
Degrees, certifications, and relevant coursework
Bachelor of Computer Science, Computer Science
Studied the fundamentals of computer science, including programming languages, data structures, and algorithms. Gained expertise in machine learning, deep learning, and applied artificial intelligence, with a strong emphasis on natural language processing (NLP), computer vision (CV), and generative AI.
Software and tools used professionally
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