Software Engineer, Simulations

• Aug 2022 - Present

Senior Machine Learning Engineer

• Aug 2018 - May 2022

• Developed energy demand forecasting models for grid-scale battery systems increasing annual revenue by $500,000 • Evaluated, Tested and deployed hundreds of models for energy demand and price forecasting • Launched millions of simulations across different revenue streams and performed rigorous A/B testing of features • Delivered proforma analysis for prospective customers leading to signing of millions of dollars’ worth of projects • Built proof of concept probabilistic models… Show more • Developed energy demand forecasting models for grid-scale battery systems increasing annual revenue by $500,000 • Evaluated, Tested and deployed hundreds of models for energy demand and price forecasting • Launched millions of simulations across different revenue streams and performed rigorous A/B testing of features • Delivered proforma analysis for prospective customers leading to signing of millions of dollars’ worth of projects • Built proof of concept probabilistic models for stochastic optimization reducing volatility by 4 % • Worked cross-functionally with operations research scientists and software engineers • Technologies used: Python, NumPy, Pandas, Scikit, PyTorch, TensorFlow, HyperOpt, RabbitMQ, SQL, GAMS, CPLEX, Airflow, Celery, LightGBM, GIT, Dockers, Flask, CRON, S3, NoSQL, PySpark Show less • Developed energy demand forecasting models for grid-scale battery systems increasing annual revenue by $500,000 • Evaluated, Tested and deployed hundreds of models for energy demand and price forecasting • Launched millions of simulations across different revenue streams and performed rigorous A/B testing of features • Delivered proforma analysis for prospective customers leading to signing of millions of dollars’ worth of projects • Built proof of concept probabilistic models… Show more • Developed energy demand forecasting models for grid-scale battery systems increasing annual revenue by $500,000 • Evaluated, Tested and deployed hundreds of models for energy demand and price forecasting • Launched millions of simulations across different revenue streams and performed rigorous A/B testing of features • Delivered proforma analysis for prospective customers leading to signing of millions of dollars’ worth of projects • Built proof of concept probabilistic models for stochastic optimization reducing volatility by 4 % • Worked cross-functionally with operations research scientists and software engineers • Technologies used: Python, NumPy, Pandas, Scikit, PyTorch, TensorFlow, HyperOpt, RabbitMQ, SQL, GAMS, CPLEX, Airflow, Celery, LightGBM, GIT, Dockers, Flask, CRON, S3, NoSQL, PySpark Show less

Research Assistant

• Mar 2017 - May 2018

• Created Deep Learning models for predicting PM (particulate matter)2.5 concentration outperforming the previous state of the art on FRIDA (Foggy Road Image Database) dataset by 5% • Built web scrapers for automatically downloading images and their corresponding labels • Technologies used: Python, TensorFlow, PyTorch, BeautifulSoup, JSON, GIT, OpenCV, PIL, MATLAB, C++ • Created Deep Learning models for predicting PM (particulate matter)2.5 concentration outperforming the previous state of the art on FRIDA (Foggy Road Image Database) dataset by 5% • Built web scrapers for automatically downloading images and their corresponding labels • Technologies used: Python, TensorFlow, PyTorch, BeautifulSoup, JSON, GIT, OpenCV, PIL, MATLAB, C++

Junior Data Scientist

• Mar 2016 - Jul 2016

• Developed Dashboards, Reports about platform's usage statistics • Built heuristic models for predicting test case failures • Developed Dashboards, Reports about platform's usage statistics • Built heuristic models for predicting test case failures