Vipul H. Harihar is currently the Lead Software Engineer in Financial Services. He excels with a background in Data Science, Artificial Intelligence and Advanced Algorithms. He holds a Master of Science in Data Science from Columbia University and a Bachelor of Technology in Computer Science & Engineering from DIT University. Vipul specializes in full-stack development, machine learning, cloud computing, business intelligence, product development and data engineering.
Master of Science in Data Science, GPA: 3.6 (Dec 2022)
• Applied Machine Learning, Deep Learning, Computer Systems, Advanced DBMS, Advanced Data Structures and Algorithms Analytics
• Department Representative, PDL Fellow, Best Data Science CA Award 2022 & 2023, Columbia Golden Graduate Marshal 2023
Bachelor of Technology in Computer Science & Engineering, GPA: 9.62 (May 2020)
• Specialization in Big Data Analytics
• Software Engineering, Artificial Intelligence, Discrete Mathematics, Data Science, Object Oriented Programming, Engineering Economics
• Computer Science Gold Medal & University Bronze Medal Recipient, Academic Excellence Scholarship every year
• Python, Java, JavaScript, SQL, Linux-Shell, Bash, HTML, CSS
• Flask, React, Angular, Frontend, MVC Architecture, Backend APIs, CI/CD, Spring, Git-Version Control, Tableau
• Data Pipelines, ETL Processes, AWS, RedHat, OLAP, Cloud Data Warehouses (GCP- BigQuery), IBM-Cognos, Power BI
• Regression, Classification, Random Forests, XGBoost, NLP, Time Series, Quantitative Data Analysis, Image Processing
• Team Managing, Web Applications, Full Stack Development, Distributed System Design, Advanced DBMS, Debugging, Testing
Lead Software Engineer - Aug 2022 - Present
• Guided 4 membered team in revamping investment platform infrastructure on AWS, emphasizing automation for 400+ clients
• Revamped client intake system, automating 24 data pipelines to streamline portfolio management for 20+ advisors and all clients
• Designed 3 in-house ML models to swiftly aid 17 advisors in enhancing their client management & responsiveness
• Developed Tax Optimizer algo yielding enhanced strategic asset management and insightful gains for 400+ portfolio benchmarks
• Crafted Tax Loss Harvesting system, refining firm-wide tax strategy and saving the firm more than $2M in potential tax liabilities
Research Assistant and Engineer - May 2022 - Dec 2022
• Led 2 software development initiatives, mentoring fellow 2 research assistants in web application-specific coding, and debugging
• Engineered medical passport system for 79 cardiac patients, leveraging encryption to ensure data confidentiality on local storage
• Data engineered 2 data pipelines that enhanced client-side analysis speed and accuracy without storing data on any server
Java Full Stack Application Developer - Feb 2020 - Aug 2021
• Managed a team of 5 members, migrating client’s Pre-Accounting Module to RedHat, realizing a 33% app-hosting cost reduction
• Collaborated with IBM Sweden using Java to optimize 8 CI/CD flows, removing 5K+ redundancies & reducing time by 2 hours
• Coded robust application using Angular, Spring, & NodeJS, achieving a 24.87% faster performance compared to legacy platform
• Developed Java Angular dashboard, resulting in 12% quicker data access and a 18% uptick in user satisfaction over past interface
Data Science Research Fellow - Capstone Project Lead - Sep 2022 - Dec 2022
• Utilized 15 GB data to design 3 statistical models to predict carbon emissions for repurposing 70,800 wind turbine blades
• Demonstrated proficiency in DevOps by deploying app on cloud at zero setup cost within an 8-day timeframe
Software Engineer Intern - Jul 2020 - Dec 2020
• Empowered safety of over 16,000 commuters by devising Spring(Angular) road safety application a non-profit organization
• Guided a team of 4 during Covid in developing real-time data-driven models to identify 17 accident-prone areas in the city
Big Data Engineer Intern - May 2019 - Jun 2019
• Executed 10 GB data scraping from 5 news websites using Python libraries and conducted big data processing on Java and Hadoop
• Built 5 data pipelines in Java and React to assist 8 membered team to publish online-posts based on insights every week