Ghulam J.
Sr. Data Scientist & Machine Learning Engineer
Experience
Jan 2022 - Present
4 yearsSr. Data Scientist & Machine Learning Engineer
Nuclieos
- Led the development of AI-driven predictive models using TensorFlow and PyTorch, enhancing analytics and strategic decision-making.
- Optimized data workflows with PySpark and SQL/NoSQL, improving data processing and analytics.
- Implemented and scaled AI solutions in cloud environments like AWS and GCP, using Docker and Kubernetes for deployment management.
- Drove innovation in SaaS and PaaS solutions through strategic AI initiatives, incorporating CI/CD pipelines to streamline development and deployment processes.
- Directed data scientists and engineers, employing Agile and ML Ops tools for enhanced project management.
- Developed web applications and APIs using Flask and Streamlit, integrating complex AI models, including generative AI, into user-friendly interfaces.
- Integrated NLP and generative AI into products, significantly boosting user engagement and growth.
- Created dynamic data visualizations using Matplotlib, Plotly, and Power BI for better insight accessibility.
- Advanced technology integration with deep learning frameworks like Keras, focusing on generative AI and NLP.
Jul 2018 - Dec 2021
3 years 6 monthsArtificial & Machine Learning Engineer
Crypto Express
- Developed and refined machine learning algorithms, enhancing predictive modeling capabilities using Python, TensorFlow, and Scikit-Learn.
- Played a key role in the design and implementation of data processing pipelines, employing ETL techniques and PySpark for efficient data management.
- Utilized NLP and generative AI technologies to innovate and improve solutions across various applications.
- Engineered AI solutions, integrating deep learning frameworks like PyTorch to solve complex industry challenges.
- Collaborated in an Agile development environment, contributing to rapid prototyping and deployment of scalable AI projects.
- Optimized and maintained AI applications in production environments, utilizing Docker and GitHub Actions for continuous integration and delivery.
- Applied ML Ops tools such as MLflow and AutoML to streamline model deployment and performance tuning.
- Actively participated in developing cloud-based AI solutions, leveraging AWS and GCP to enhance computational efficiency and scalability.
Feb 2016 - Jun 2018
2 years 5 monthsArtificial Intelligence Engineer
Techlogix
- Designed and deployed models using TensorFlow and Keras, enhancing system efficiency and accuracy.
- Developed data preprocessing and analysis scripts with Python, Pandas, and NumPy, streamlining data workflows.
- Implemented NLP algorithms to improve automated customer interactions, boosting efficiency and user satisfaction.
- Built and maintained AI-driven web applications with Flask, improving performance and user engagement.
- Conducted rigorous model testing and optimization to ensure robustness and accuracy.
- Collaborated with interdisciplinary teams to integrate AI technologies that align with business goals.
- Utilized AWS and Azure for efficient model deployment and scalability in production environments.
- Automated repetitive data tasks using Python, significantly reducing manual labor and error rates.
- Engaged in ongoing AI research to apply cutting-edge technologies and methodologies in projects.
Summary
Senior Full Stack Data Scientist and Generative AI Architect with over 9+ years of experience, bridging AI research with scalable production systems. Expert in designing end-to-end MLOps solutions, deploying CI/CD pipelines, and leveraging AWS, GCP, and Azure with Docker and Kubernetes. Specializes in Generative AI (RAG, LangChain), LLM integration, and Deep Learning (TensorFlow, PyTorch), with a proven track record in optimizing PySpark-based data workflows and delivering AIdriven web applications (Flask, Streamlit). Passionate about driving business growth through innovative, cost-efficient AI strategies.
Languages
English
AdvancedEducation
National University of Computer and Emerging Sciences
MS Computer Science · Computer Science · Karachi, Pakistan
Institute of Management Sciences
Bachelor of Computer Science · Computer Science · Lucknow, India
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