CHARLES TALATOTI

Experienced AI/ML and Data Engineer with 8 years of expertise in developing and deploying machine learning models, building scalable data pipelines, and working with cloud-based solutions. Experienced building end-to-end AI/ML solutions across deep learning, NLP, computer vision, and big data domains. Skilled in implementing end-to-end MLOps pipelines to automate the machine learning lifecycle, ensuring faster deployment, monitoring, and reproducibility. Proficient in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and evaluation. Hands-on experience with data engineering tools like Apache Airflow, Apache Kafka, Databricks, and cloud services including AWS, Azure (Dataflow). Strong understanding of data preprocessing, feature engineering, model training, and real-time inference for use cases like predictive analytics, and customer segmentation. Experienced in CI/CD practices for machine learning and data workflows, enabling continuous integration and delivery of models in production. Passionate about solving real-world problems using AI, continuously learning and exploring new technologies in machine learning, cloud computing, and big data. Integrated MLOps practices into Agile workflows, ensuring model versioning, automated testing, and CI/CD pipelines align with sprint cycles. Expert in developing scalable ML models using TensorFlow, PyTorch, and Python for production-grade applications. Designed and deployed AI systems on cloud platforms like AWS, GCP, and Azure with CI/CD and containerized environments. Built large-scale data pipelines and ETL workflows to support real-time and batch ML model training and inference. Specialized in NLP tasks including text classification, entity recognition, summarization, and LLM-based GenAI solutions. Experienced in scientific and genomic data processing using Python, Spark, and statistical machine learning methods. Proficient in integrating ML services with web applications using Django, Flask, MySQL, REST APIs, and OpenCV. Strong skills in SQL, data warehousing, master data management, and dashboarding via Tableau and Power BI. Proven track record of optimizing algorithms and improving model performance through iterative testing and tuning. Collaborative team player with leadership experience, delivering AI solutions that align with tight deadlines with business impact.