Edgar P. Email and Phone Number

Built python based ETL pipelines for historical equities data used to discover trading strategies, conduct analysis and train machine learning models. Developed analytics dashboard to monitor daily movers and key metrics to enable better trade decisions using dash and plotly. Current work includes exploration and testing of:• Data streaming packages (kafka/ streamz) and parallelization (Dask/ RAPIDS) for market data pipeline development.• Application of CNNs, RNNs and decision tree based models for trade signal generation.

Led accelerated material development initiative by leveraging machine learning and molecular simulations to reduce material development time and cost. Product manager of high-refractive-index and low-Dk polymer portfolios for next-gen display and optoelectronic applications. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: Python, SQL, MLflow, Scikit-learn, RDkit, Mordred, Jupyter notebooks𝐌𝐢𝐜𝐫𝐨𝐟𝐚𝐛𝐫𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: optical lithography, e-beam evaporation, reactive ion etching (RIE)

Investigated light-matter interactions in plasmonic metals, two-dimensional semiconductors and high-index dielectric nanostructures. • Conducted in-depth literature reviews, designed experiments, ran electromagnetic simulations, and tested hypotheses for five plasmonics and metamaterials related research projects (2 first-authored and 3 equal contributor publications).• Collaborated and supported interdisciplinary research projects by conducting experiments, fabricating nanostructures and providing theoretical modeling and analysis of nanophotonic devices (10 publications)𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 Languages: Matlab, Python𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: Lumerical𝐌𝐢𝐜𝐫𝐨𝐟𝐚𝐛𝐫𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: e-beam lithography (eBL), optical lithography, focused ion-beam (FIB), e-beam evaporation, physical vapor deposition, wet and reactive ion etching (RIE)𝐎𝐩𝐭𝐢𝐜𝐚𝐥 𝐂𝐡𝐚𝐫𝐚𝐜𝐭𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: optical spectroscopy, Raman spectroscopy, fluorescence spectroscopy