Andy Ciesluk

• Leadership & Strategy: Directed a multidisciplinary team of 7 AI specialists, successfully delivering high-impact projects across education and recruitment sectors.

• Technical Innovation: Pioneered the application of state-of-the-art NLP and ML algorithms, such as deep neural networks and generative models.

• Customer Experience Technology: Led initiatives in enhancing customer support systems using advanced AI technologies.

• Collaborated with clients to develop customized architectural solutions, meeting their unique needs and preferences.

• Developed comprehensive project documentation, including site plans, elevations, sections, and details for clear communication of design intent.

• Frameworks: GPT, RAG, Llama, ChromaDb.

• Leadership & Strategy: Spearheaded strategic planning and execution for AI projects, enhancing team performance and project outcomes.

• End-to-End Development: Contributed to all project lifecycle phases, including needs assessment, data analytics, modeling, and deployment.

• Collaborated with cross-functional teams to develop high-quality software products within tight deadlines.

• Contributed to the successful completion of multiple projects by providing strong leadership and expert technical guidance.

• CPaaS Solutions: Implemented deep learning techniques for Named Entity Recognition (NER) and Natural Language Understanding (NLU).

• Frameworks: Python, Keras, Sentence Transformers, RNN, Rasa.

• Leadership & Strategy: Led a team of data scientists, coordinating project timelines and deliverables to meet strategic business goals.

• Optimization: Developed and refined models for drug price optimization, driving user engagement.

• Business Acumen: Translated complex business requirements into actionable machine learning initiatives.

• Customer Support: Improved customer interaction automation through AI-driven solutions.

• Frameworks: Python, Sklearn, GCP, BigQuery, AirFlow, Keras, Tensorflow, Numpy, Pandas, Matplotlib, Seaborn.

• AI Leadership: Designed and deployed dialogue systems, mentoring an AI-focused team.

• NLP Solutions: Built high-quality natural language classifiers for customer interaction automation.

• Predictive Modeling: Developed predictive models for NER, increasing F1 score up to 85% for NER

• Designed experiments to validate hypotheses, leading to valuable insights into customer behavior patterns.

• Managed a team of junior data scientists, fostering talent development and consistent project success.

• Frameworks: Python, Keras, TensorFlow, NLP, Predictive Modeling, Data Strategy.

• Designed and deployed dialogue systems and natural language classifiers.
• Cleaned, transformed, and analyzed large datasets to uncover hidden trends and patterns for actionable insights.
• Building solutions for a semantic user profiling system, developing solutions through data exploration, feature engineering, model building, model testing, model implementation, post-production models, and monitoring of working models.
• Implemented advanced statistical techniques for accurate predictive modeling and forecasting of business metrics.
• Frameworks: Keras (Advanced), TensorFlow (Advanced), GPT-4 (Advanced), RNN.