Open to opportunities

Viken Parikh

@vikenparikh

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Results-driven software engineer specializing in scalable payments and AI-powered security.

Canada

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What I'm looking for

I seek roles where I build scalable, data-driven systems at the intersection of payments, security, and AI, with collaborative teams and cloud-first infrastructure.

I am a results-driven software engineer with 5+ years of experience building scalable payment systems, intelligent security tools, and AI-powered cloud solutions at Microsoft and PayPal. I combine a strong academic foundation in machine learning and AI (MS/BS in Computer Science) with hands-on experience in full‑stack development, cloud integrations, and production ML systems to deliver data-driven, reliable products.

At Microsoft I developed advanced security tooling for Defender for DevOps and user-facing Azure features; at PayPal I built intelligent payment processing systems, SDKs, and tokenization services. I mentor peers, streamline onboarding, and focus on pragmatic solutions that improve developer workflows, security posture, and transaction efficiency.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer 2

Current

Microsoft

Jun 2022 - Present (3 years 4 months)

Developed advanced security tools for Defender for DevOps that detected repository vulnerabilities and generated remediation recommendations, and built Azure user-facing features to deliver predictive security insights and improve onboarding reliability.

C++.NET Azure React Knockout Security Tools DevOps

Software Engineer 2

PayPal

Jun 2020 - May 2022 (1 year 11 months)

Designed and implemented intelligent payment processing and tokenization features that improved transaction efficiency and authentication success rates; developed SDK tools and services for card processing and tokenization.

Java Spring Boot Couchbase Docker Tokenization Payments GitHub

Software Developer

Decision Theater Network

Dec 2018 - May 2020 (1 year 5 months)

Developed data visualization, simulation, and analysis solutions using Chainbuilder and web technologies to support decision-making workflows for ASU's Decision Theater.

Python PHP JavaScript Data Visualization Simulation Chainbuilder ETL Analysis

Data Scientist

W. P. Carey School of Business

Sep 2019 - Jan 2020 (4 months)

Analyzed Kickstarter datasets using ML and CV (SVM, Naïve Bayes, OpenCV) to extract storytelling and emotional features and produced actionable insights for campaign performance.

Python OpenCV SVM Naïve Bayes Data Analysis Pandas

Graduate Assistant

Arizona State University

Aug 2018 - Nov 2018 (3 months)

Supported course instruction in Decision Making & Problem Solving by improving and evaluating student coursework and facilitating learning activities.

Teaching Assistance Coursework Evaluation Academic Support Communication Matlab Python

Software Engineer Intern

Way2Society

Jan 2017 - Dec 2017 (11 months)

Built a web and mobile app for housing finance management using Ionic3, Java servlets, MySQL, and AWS to support society financial workflows.

Java MySQL AWS Servlet Web Development Mobile Apps

Education

Degrees, certifications, and relevant coursework

Arizona State University

Master of Computer Science, Computer Science

2018 - 2020

Master of Computer Science with specialization in Data Science and AI, including coursework in Statistical Machine Learning, Artificial Intelligence, Multi-Robot Systems, Semantic Web Mining, and Cloud Computing.

University of Mumbai

Bachelor of Technology, Computer Engineering

2014 - 2018

Bachelor of Technology in Computer Engineering with coursework in Machine Learning, Neural Networks, Fuzzy Logic, AI, Data Mining, and Computer Simulation Modelling.