Vignesh Viswanathan

Product Manager

Redmond, Washington, United States3 yrs 10 mos experience

Highly Stable

Key Highlights

Over four years of experience in tech project leadership.
Expertise in software engineering and product management.
Strong focus on data-driven strategies for impactful solutions.

Stackforce AI infers this person is a Product Manager with strong expertise in Fintech and Software development.

Contact

Skills

Core Skills

Product ManagementProject ManagementMachine Learning

Other Skills

Requirements GatheringHadoopLivyProblem SolvingProduct StrategyApache SparkMicrosoft ExcelJavaPythonCustomer InteractionLogicsHBaseNode.jsStrategyBig Data Analytics

About

With over four years of experience leading projects in the tech industry, I have honed my expertise in software engineering and product management. My focus has been on utilizing data-driven strategies to create impactful, scalable solutions that enhance operational efficiency and drive measurable business outcomes. As a researcher with multiple publications, I have consistently applied cutting-edge techniques in deep learning and machine learning, contributing to innovation and growth in various domains. My experience spans from managing complex cross-functional teams to driving the development and launch of high-value products, always with a strong emphasis on market alignment and strategic execution. I recently graduated with a Master’s in Engineering Management from Purdue University. I previously interned as a Product Manager on the Microsoft Excel team and have since returned to Microsoft as a full-time Product Manager on Excel. I’m excited to continue building products at scale and driving meaningful impact for millions of users worldwide.

Experience

3 yrs 10 mos

Total Experience

3 yrs 6 mos

Average Tenure

3 mos

Current Experience

Microsoft

2 roles

Product Manager

Promoted

Feb 2026 – Present · 3 mos · Redmond, Washington, United States

Data Types, Excel Agent, Copilot

Product Management

Product Manager

Jun 2025 – Aug 2025 · 2 mos · Redmond, Washington, United States · On-site

Worked with the Excel Core team to improve formatting capabilities for Microsoft Excel.

The data mine-purdue university

Program Manager

Aug 2025 – Dec 2025 · 4 mos · On-site

Bayer

Student Consultant

Aug 2025 – Dec 2025 · 4 mos · On-site

Visa

3 roles

Senior Software Engineer

Promoted

Aug 2022 – Jun 2024 · 1 yr 10 mos

Product developer with Platform Engineering Services in Data and AI platform team. Worked in the field of resource optimization with Apache Spark and Livy.

Requirements GatheringProject ManagementHadoopLivyProblem SolvingProduct Strategy+2

Software Engineer

Oct 2020 – Jul 2022 · 1 yr 9 mos

Worked as a product developer in Big Data analytics. Primarily dealt with quota and inventory management for Visa's data servers.

Microsoft ExcelJavaPythonRequirements GatheringCustomer InteractionLogics+6

Software Engineer

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India

Interned with the Platform as a Service (PaaS) team of Data Platform.
Worked on cold data and small files analysis in Hadoop Distributed File System (HDFS) and sending automated alerts to the users about the existence of cold data and small files on the cluster.
Also worked on incident management system in Hadoop.
Work involved extensive use of Hadoop technologies.

Indian institute of science (iisc)

Research Intern

May 2018 – Jul 2018 · 2 mos · Bangalore

Worked with the Visual Computing lab on a project for estimating the age of bones and predicting the gender from a given radiograph using Keras library with TensorFlow backend.
Also developed a pilot version of an automated traffic violation detection system.

Tata consultancy services

Machine Learning Engineer

Dec 2017 – Jan 2018 · 1 mo · Bengaluru, Karnataka, India

Worked with the production intelligence team to perform anomaly detection on End-Of-Line (EoL) testing data provided by a manufacturing company.
Project work involved understanding the intricacies of Product Management and Business Analytics.