Founding AI/ML scientist/software engineer

Designed and implemented version controlled database & APIs for other datasets utilizing SQLAlchemy and Alembic alongside hosting of FASTAPI on AWS to enable access to novel datasets for BD&L decision making. Utilizing logging and CI/CD to improve turn around.Expanded utilization of LLM to summarize key data sources.Utilized test-driven development to automate and curate a wider array of data sources for ETL logic to automate data processing on AWS. Utilized Pydantic and Pandera to significantly improve data quality.

Lead development of RESTful APIs and data harmonization alongside R and Python wrappers, standardizing access to legacy and modern internal data while abiding with regulatory requirements .Applied huggingface NLP libraries alongside internal large language models alongside automated PowerPoint solutions to summarize literature and internal data to accelerate business development reports. Scaled solution utilizing Teams API and CI/CD (AWS) to automate availability to core users.Completed root-cause analysis on patient data sets to troubleshoot ETL process development enabling decision making around key data.Developed customized R and Python library wrappers interfacing with NoSQL document databases, alongside CI/CD, logging and testing.Expansion of previous role to cover full product ownership of internally facing infrastructure products as both VoC and technical lead/SME.Lead the transition of the product from an initial MVP into a multi-team MLOps application, utilizing a SOA through designing and executing significant product expansion.Lead internal financial planning and short and long term strategic planning, as part of two large internal investments in ML, cloud computing and digitalization efforts.Interacted with internal and external stakeholders to optimize cross functional connections with designers, SWEs, contractors, program mangers and finance to optimize product deliveries.Defined KPI associated with success and presented results to senior management across divisions.

Lead strategic planning for the development of a PoC utilizing ML approaches for Immunology.Planned quarterly deliverables (OKRs) for data science products in the use of Immunology.Developed MVPs using Python & SQL and custom ETL pipelines for aligning external data acquired, following M&A.Planned and executed approaches for UATs for immunology and genomic aspects of internal facing software.Developed PoC of supervised ML algorithms for prediction of treatment response in autoimmunity utilizing cloud computing solutions.Served as a mentor to junior team members and a TL to the wider division.SME for Immune Profiling and Immuno-genomics data supporting go-to-market strategy.Created and evaluated preliminary machine learning models of patient response (SK learn) to therapy to guide department strategy through data driven customer segmentation.Defined KPI associated with success and presented updates to senior leadership and across multiple sites. Resulted in the initiation of two drug development programs.Served as a mentor to junior team members and as a TL to the wider division.

Technical lead of Immune Profiler platform covering product management aspects.Completed strategic planning and prioritization to improve the RoI and data quality of immunological and genomic assays when run at scale. Wrote and further optimized marketing material with business development and marketing managers, Personally presented material to external presentations and subsequently created white papers on key technical considerations during negotiations.Supported analysis (R/SQL) of large immunological datasets including the development on novel pipelines and data visualizations on the cloud. Redefined KPIs in production and R&D to more accurately capture molecular data quality for monitoring production and highlighting work to leadership.Worked as part of a team to develop and productionize ML approaches for outlier detection in laboratory production workflows.Supported junior team members development.Consulted internal venture capital teams on the value of early stage companies/products in the Immunology space and provided Immunology input on the development of the observation clinical study NCT04388813.

Utilization of data science to develop models of patient response to therapy.https://www.nature.com/articles/s41590-021-00958-6 The second half of PhD, onwards, continuing work on profiling human/murine immune cell responses, particularly in cancer settings.Utilized skills in genomic algorithms and R.