// Past Project Achievements

Projects

Applied cheminformatics, ML pipelines, and data automation tools built for real-world drug discovery workflows.

01

PurifAI

Machine learning model for predicting optimal SPE purification and LCMS analysis methods for HTS compound purification — deployed as a React web application

Machine LearningCheminformaticsPythonAWS +3
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02

Retrosynthetic AI

A hybrid MCS and Tanimoto similarity system for querying reaction databases and automatically generating retrosynthetic pathways, logging results to ELN via API.

CheminformaticsSMARTSRDKitPython +2
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03

Algorithmic Building Block Survey

A programmatic tool for querying commercial chemical vendor databases by structure similarity, applying inventory filters, and tracking vendor performance — wrapped in a Flask GUI and containerized with Docker.

PythonAPIsFlaskDocker +2
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04

Automated Sample Registration & ELN Pipeline

An end-to-end ETL automation that registers compounds, creates synthesis requests, populates ELN entries, and generates weekly campaign status reports — all from raw synthesis data via API.

ETLAutomationAPIsPython +3
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05

Cheminformatics Toolbox

A comprehensive Jupyter notebook library covering chemical structure I/O, molecular vectorization, R-group decomposition, and dataset analysis — built for research chemists working with bulk molecular datasets.

CheminformaticsPythonRDKitJupyter +2
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06

LiveDesign Python Client Tutorials

A series of Jupyter notebooks demystifying Schrödinger's LDClient Python API — organized by scientific workflow rather than API endpoint, enabling LiveDesign users to unlock programmatic platform access.

PythonAPISchrödingerJupyter +2
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