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Chinar Kaul

@chinarkaul

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Senior software engineer specializing in AI and data analysis.

United States

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth in AI technologies.

I am a dedicated software engineer with a Master's degree in Electrical and Computer Engineering from Carnegie Mellon University. My passion lies in leveraging artificial intelligence and machine learning to solve complex problems. Currently, I work as a Senior Associate at BNY, where I pioneered an LLM AI tool that significantly improved data quality investigations, saving over 8 hours per issue. My experience includes implementing a PySpark framework that streamlined data processing, achieving an impressive 80% reduction in time.

Throughout my career, I have held various roles, including a Graduate Research Assistant at Carnegie Mellon, where I predicted ride-share demand using GPS data, and an intern at IBM, where I enhanced IP theft detection processes. My technical skills span multiple programming languages and frameworks, including Python, Java, and AWS, allowing me to contribute effectively to diverse projects. I am committed to continuous learning and innovation, as demonstrated by my involvement in projects like stock market prediction and computer vision body detection.

Experience

Work history, roles, and key accomplishments

Current

Senior Associate, Software Engineer

Current

BNY

Aug 2023 - Present (2 years)

Pioneered LLM AI tool to investigate sensitive data quality issues, complying with SLA rules and saving 8+ hours per issue. Implemented PySpark framework to process millions of lines of data and transfer files via SFTP, cutting time by 80%.

LLM Pyspark Data Processing Project Management

Graduate Research Assistant

Carnegie Mellon University

Aug 2022 - Present (3 years)

Predicted demand for ride-share service in Pennsylvania using GPS data from the U.S. Department of Energy. Developed machine learning models in Python to cluster data into zones and generate predictions.

Machine Learning Python Clustering

Extreme Blue Back End Intern

IBM

May 2022 - Present (3 years 3 months)

Enhanced IP theft detection process through data analysis of user activity, saving up to $1,000,000 per case. Visualized behavioral alerts on dashboard with team of 4 to support security investigators using Python and Vue.

Data Analysis Python Vue IP Theft Detection Dashboards

Back End Developer Intern

IBM

May 2021 - Present (4 years 3 months)

Transformed Slack bot tool using Golang and Python to reduce debugging time and support Kubernetes developers. Successfully integrated with customer ticket repository with team of 2 to analyze thousands of support tickets weekly.

Golang Python Slack Kubernetes

Product Engineering Intern

Micron

Jun 2020 - Present (5 years 2 months)

Innovated command line quality assurance tool to automate wafer defect detection, reducing time by 93% per product. Exceeded expectations by creating visual representation of data analysis using Pandas and OpenCV libraries in Python.

Quality Assurance Wafer Defect Detection Pandas OpenCV Python

Software Engineering Intern

Optum (UnitedHealth Group)

Jun 2019 - Present (6 years 2 months)

Designed system to migrate claims processing capabilities to modern architecture on team of 12. Developed REST APIs in Java to query, process, and present data to users, saving team $12,000.

REST APIs Java Claims Processing System Design Data Processing

Education

Degrees, certifications, and relevant coursework

Carnegie Mellon University

Master of Science, Electrical and Computer Engineering

2021 - 2023

Activities and societies: Relevant Coursework: AI for Social Good, Machine Learning for Signal Processing, Ethics and Policies of Computing.

Focused on advanced topics in electrical and computer engineering. Relevant coursework included AI for Social Good, Machine Learning for Signal Processing, and Ethics and Policies of Computing.

Iowa State University

Bachelor of Science, Computer Engineering

2017 - 2021

Activities and societies: Senior Capstone: Developed neural network to analyze channel state information from wireless security system.

Completed a Bachelor of Science in Computer Engineering. Developed a neural network to analyze channel state information from a wireless security system for the Senior Capstone project.