CV

Education

Graduate Research Assistant @ Seattle University (June 2024 - Present)

𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗲𝗱 𝗮 𝗽𝗼𝘀𝘁𝗲𝗿 at the 𝟮𝟬𝟮𝟰 𝗡𝗲𝘂𝗿𝗼𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 titled ‘A Population Model of the Lateral Shell of the Central Nucleus of the Inferior Colliculus in Barn Owls’.
Conducting Research on the barn owl’s auditory system, analyzing 𝗻𝗲𝘂𝗿𝗼-𝗽𝗵𝘆𝘀𝗶𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮 to understand their exceptional sound localization.
𝗖𝗼-𝗮𝘂𝘁𝗵𝗼𝗿𝗶𝗻𝗴 the research paper for this project.
Developed ML models to predict neuronal responses with 𝗰𝘂𝘀𝘁𝗼𝗺 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻.
Extracted data from published figures, recreated visuals using matplotlib, and transformed the data for seamless analysis.
Applied regression techniques and SVD to analyze response properties, plotting correlations for over 120 neurons using 3D visualization.
Performed statistical tests like paired t-test, Anova test to ensure data reliability and make decisions.

Software/Data Engineer @ Applied Information Sciences (Aug 2021 – Aug 2023)

Worked on building an end-to-end Data Transformation ELT Solution that handled millions of records of a leading auto insurance company in the USA.
Built an Audit Framework to validate the data processed by the ELT solution.
Developed a separate Test framework of around (~60 unit tests) to perform Unit Testing on the complete ELT solution.
Built a PDF Q&A chat application using OpenAI API, Large Language Models & Semantic Kernels SDK.
Integrated vector database Qdrant with LLMs to store vectorized data and fetch most relevant responses to the query.
Worked on Prompt Engineering best practices and utilized them to enhance the query efficiency.