Asghar K Email and Phone Number
Innovative Machine Learning Engineer with over 6.5+ years of experience in designing, developing, and deploying machine learning solutions that drive strategic business decisions and improve operational efficiency. 9.5+ years of total IT experience. Extensive experience in machine learning model development, deployment, and maintenance. Proficient in Python for data analysis and machine learning implementations. Strong knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch. Experienced with natural language processing (NLP) and computer vision applications. Skilled in feature engineering and data preprocessing techniques. Committed to staying at the forefront of AI technology through continuous learning and professional development. Strong understanding of data structures, algorithms, and software engineering principles. Experienced with big data technologies like Hadoop, Spark, and Hive. Expertise in using version control systems such as Git and GitHub. Proficient in using Docker and Kubernetes for containerization and orchestration of ML applications. Strong knowledge of MLOps practices and tools for automating machine learning workflows. Experienced with A/B testing and model evaluation techniques. Excellent skills in data visualization using tools like Matplotlib, Seaborn, and Plotly. Strong problem-solving skills and ability to work with complex datasets. Effective communication skills for collaborating with cross-functional teams and stakeholders. Strong project management skills with experience in agile methodologies. Adept at writing and maintaining comprehensive documentation for ML projects. Committed to continuous learning and staying updated with the latest advancements in machine learning and AI technologies. Experienced in hyperparameter tuning and model optimization for improved performance. Proficient in implementing recommendation systems and personalized content algorithms. Skilled in anomaly detection and predictive maintenance techniques. Expertise in using Jupyter Notebooks and other interactive computing environments. Familiarity with reinforcement learning and its applications. Strong knowledge of statistical analysis and hypothesis testing. Experienced in collaborating with data scientists, data engineers, and software developers. Proficient in developing and maintaining scalable and efficient data pipelines. Expertise in using MLflow, Kubeflow, or similar platforms for tracking experiments and managing models.
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Machine Learning EngineerCvs Pharmacy Mar 2023 - PresentCalifornia, United States Explored datasets to gain insights into the data distribution, identified patterns, and detected anomalies. Utilized Python and TensorFlow to build and train deep learning models for customer behavior analysis. Implemented data preprocessing techniques, including feature engineering and normalization, to enhance model performance. Developed and deployed large language models (LLMs) for natural language understanding, improving customer interaction efficiency Developed NLP models to analyze customer feedback, helping the marketing team to better understand customer sentiments and preferences. Trained the models using diverse datasets, optimizing hyperparameters to enhance model performance. Developed and trained machine learning models using appropriate algorithms and techniques. Experimented with different model architectures, hyperparameters, and optimization strategies to improve model performance. Implemented robust data pipeline architectures to streamline data ingestion, processing, and storage. Collaborated with data engineers to ensure data quality and integrity across various data sources. Created new features to enhance the predictive power of the models. Used domain knowledge and statistical techniques to extract relevant information from the data. Utilized advanced analytics to develop models that forecast patient no-shows, allowing clinics to optimize scheduling and minimize lost revenue. Worked on feature engineering and model tuning to enhance the performance of existing algorithms used within the platform. Evaluated model performance using appropriate metrics and validation techniques, such as K-fold cross validation. Integrated ML models into existing software systems or workflows with collaboration of software engineers and DevOps teams. Participated in training programs, workshops, conferences, and online courses to expand skills and knowledge. -
Ml/Ai EngineerInfosys Sep 2017 - Feb 2023Dallas, Texas, United States● Collaborated with product development teams to incorporate AI capabilities into existing and new products, enhancing product functionality and user engagement.● Authored and maintained detailed documentation for machine learning algorithms, processes, and decision support logic for technical and non-technical audiences.● Improved client website performance by implementing AWS services like CloudFront, RDS and Lambda.● Validated migration through comprehensive testing, ensuring seamless transition and minimal disruption.● Worked closely with data scientists, software engineers, and product teams to understand projectrequirements and deliver ML solutions.● Collected, cleaned, and preprocessed large datasets to train language models, leveraging tokenization, data augmentation, and handling imbalanced data.● Trained models using large-scale datasets, optimizing hyperparameters, and employing techniques like transfer learning and fine-tuning.● Used TensorFlow and Keras in a Deep Learning project to predict whether a borrower will repay their loan.● Developed a Question and Answer (Q&A) chatbot using LLM to enhance customer service and reduce the workload on human agents.● Documented methodologies, processes, and findings. Reported progress and results to stakeholders, ensuring transparency and accountability.● Participated in training programs, workshops, conferences, and online courses to expand skills and knowledge. -
Scrum MasterCintra Usa Oct 2014 - Aug 2017Dallas, Texas, United States Facilitated essential Scrum ceremonies, including sprint planning, daily scrums, sprint review, retrospectives, and stakeholder meetings, fostering collaboration and communication among team members. Identified areas for improvement through retrospectives, driving continuous process enhancements. Worked closely with cross-functional teams to translate business needs into robust analytic solutions by using advanced statistical and machine learning methods. Conducted data wrangling and preprocessing to prepare large datasets for analysis and model building. Collaborated with product owners and stakeholders to prioritize and refine the product backlog, ensuring alignment with business goals and maximizing the value delivered to customers. Successfully implemented machine learning models that improved client business processes showcasing significant enhancements in predictive accuracy and operational efficiency. Leveraged AI Prompt engineering to create value-based stories, enhancing customer satisfaction and ROI. Provided servant leadership, removing impediments, and promoting a culture of Agile and continuous improvement.
Asghar K Education Details
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Master'S Degree
Frequently Asked Questions about Asghar K
What company does Asghar K work for?
Asghar K works for Cvs Pharmacy
What is Asghar K's role at the current company?
Asghar K's current role is Machine Learning Engineer.
What schools did Asghar K attend?
Asghar K attended Lamar University.
Who are Asghar K's colleagues?
Asghar K's colleagues are Marilyn Medina, Kassy Fischer, Sumeet Sharma, Dawn Desmarais, Carol Groves, Spencer Mckean, Crystal Rae.
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