Parhaam Abbasi

Developed CI/CD for ML pipelines, designed and optimized scalable data pipelines, and implemented scalable ML modules using Python and Ray under NDA constraints.

Built and tuned ClickHouse analytical DB for a large personalized marketing campaign, developed and maintained 20+ ETL pipelines, and deployed monitoring and alerting (Grafana/Prometheus) to achieve sub-minute analytics on millions of daily records.

Developed hybrid ML models (LSTM–CNN) for air pollution and weather forecasting, deployed online forecasting systems coupling WRF with ML, and produced district-level pollution maps for municipal clients.

Delivered ML and simulation projects including plot data extraction, crypto price prediction systems, aerial image denoising/classification, and medical image transfer-learning classifiers.

Administered compute infrastructure, built data preparation pipelines for AERMOD, managed ~7.5 TB monthly NetCDF datasets using Hadoop and Spark, and developed visualization and MySQL reporting systems.

Developed simulation and control models including PWHT simulation in COMSOL, created a PCB and DAQ GUI for gas detector testing, and delivered an Android cost estimator for F&G projects.

Master of Science in Chemical Engineering with a thesis on molecular dynamics simulations of mixed phospholipid membranes and drug diffusion.

Bachelor of Science in Chemical Engineering covering core chemical engineering principles and applied process simulations.

Secondary education with a diploma in Mathematics and Physics.