Brian Céspedes Giménez Email & Phone Number

• Currently I'm working as a DS and MLOps consultant for startups and freelance platforms. Some projects that I'm involved in are related with dynamic pricing, time series forecasting,deep reinforcement learning, conformal predictions, generative AI, and autonomous agents.• Co-Founder & Machine Learning Engineer at https://parseai.co since May. 2022. https://www.f6s.com/brian-cspedes-gimnez. ParseAI provides a B2B SaaS plataform that allows users to do title research of title… Show more • Currently I'm working as a DS and MLOps consultant for startups and freelance platforms. Some projects that I'm involved in are related with dynamic pricing, time series forecasting,deep reinforcement learning, conformal predictions, generative AI, and autonomous agents.• Co-Founder & Machine Learning Engineer at https://parseai.co since May. 2022. https://www.f6s.com/brian-cspedes-gimnez. ParseAI provides a B2B SaaS plataform that allows users to do title research of title ownership reports needed to underwrite real estate and energy transactions. Here I built end-to-end ML solutions related to OCR, NLP and NLU using Transformer based models from the BERT family :) Show less

I worked on dynamic pricing optimization models and end-to-end ML pipelines for retail on AWS.

Provincia De Córdoba, Argentina

I had the opportunity to design, develop and deploy data science and data engineering pipelines along with multiple strategy and product teams for clients such as Expedia, Google, StubHub, Ticketmaster and ViacomCBS on the following projects:• End-to-end ML pipelines on GCP with BigQuery, Beam, Airflow and Cloud ML Engine.• Data warehouse migration and ETL pipelines from on-premise architectures to Google Cloud Platform. Stack: Python, PySpark, SQL, Hive, Pig, BigQuery, Google Cloud… Show more I had the opportunity to design, develop and deploy data science and data engineering pipelines along with multiple strategy and product teams for clients such as Expedia, Google, StubHub, Ticketmaster and ViacomCBS on the following projects:• End-to-end ML pipelines on GCP with BigQuery, Beam, Airflow and Cloud ML Engine.• Data warehouse migration and ETL pipelines from on-premise architectures to Google Cloud Platform. Stack: Python, PySpark, SQL, Hive, Pig, BigQuery, Google Cloud Composer, Dataflow and Dataproc.• Research on quantum computing techniques with IBM quantum processors.• End-to-end ML pipelines with LSTMs and RNNs models on AWS: Tensorflow, Keras, Flask, Docker, DynamoDB, SageMaker, Lambda, ECS, Glue. Show less

• Multi-label classifier with Pyteomics, Scikit-learn and PyTorch. • CNNs for image classification with Triplet Loss Functions + SVC with TensorFlow and Keras.• Reinforcement learning MVP for orbit transfer optimization with Open AI Gym and PyTorch. • Implementation of Jaynes-Cunnings model for 2-level qubits system with Qutip. • Energy consumption forecasting models and Bayesian inference for sensor data with ANNs.• Descriptive and inferential statistical models for… Show more • Multi-label classifier with Pyteomics, Scikit-learn and PyTorch. • CNNs for image classification with Triplet Loss Functions + SVC with TensorFlow and Keras.• Reinforcement learning MVP for orbit transfer optimization with Open AI Gym and PyTorch. • Implementation of Jaynes-Cunnings model for 2-level qubits system with Qutip. • Energy consumption forecasting models and Bayesian inference for sensor data with ANNs.• Descriptive and inferential statistical models for resource allocation problems. Show less

Computational physics development for engineering simulations aided by finite element analysis methods and software engineering for optimization processes in electromagnetic and fluid environments. Research and development of high and low-frequency ultrasound models for acoustic radiation effects on solid tumors, in order to analyze drug-based treatments on cancer stem cells with tunneling effects.

• Online tutoring of physics, calculus, algebra and statistics for US students.

Licenciatura En Física

• Development of radiative transfer models and APIs for remote sensing with Python and GIS. • Research and development of high.

Licenciatura En Ciencias Físicas

Ingeniería Química

Investigación y modelado de procesos de optimización para transporte de fluidos en silos de destilación industrial con Ansys Fluent y.