Hello! 👋
I'm Viken Parikh
Software Engineer building high-scale distributed systems, cloud security, and AI/ML products.
Built and operated services handling 50K+ QPS and ~$2B daily volume with 99.99% uptime, serving 25K+ developers across security and payments platforms.
Vancouver, BC, Canada
About Me
Software Engineer with 5+ years at Microsoft and PayPal designing and operating high-scale distributed systems, intelligent security tools, and data-driven payment infrastructure with strong ML/AI expertise. Delivered production systems serving 25K+ developers and processing $2B+ daily volume, owning architecture, implementation, and experimentation to drive reliability and growth.
5+ years of experience at Microsoft and PayPal, leading and contributing to high-impact engineering teams.
Served 25,000+ developers through platform and API initiatives.
Enabled $2B+ in daily payment volume with robust, scalable systems.
Scanned 50,000+ repositories for security and compliance.
Maintained 99.99% uptime at scale for mission-critical services.
Achieved ~2–3% authorization success improvement on global card traffic.
Reduced onboarding time by ~50% through process and tooling improvements.
Drove 92% user satisfaction for Travigate platform.
Published IEEE research cited 100+ times.
Deployed YOLO pipeline processing 10,000+ images/day at ~95% accuracy.
Backend Engineering Distributed Systems Cloud Security Payments Infrastructure AI/ML Systems API Design & Development DevOps & Automation Data Engineering Product Prototyping Technical Leadership
Feature Engineering A/B Testing LLM Agents RAG (Retrieval-Augmented Generation) NLP (Natural Language Processing) Reinforcement Learning Prompt Engineering Model Evaluation & Tuning Agentic Workflows AI Product Strategy
Python Java C# SQL JavaScript/TypeScript Machine Learning LLMs Distributed Systems Cloud Microservices
Skills
Languages
PythonJavaC#RubySQLJavaScript/TypeScriptGoBash
Frameworks & Libraries
ReactNode.jsDjangoSpring BootHugging Face (BERT, GPT, T5)LangChain
Cloud & Infrastructure
AWSAzureGCPKubernetesDockerTerraform
AI/ML
RAGLLM AgentsReinforcement LearningNLPComputer Vision
Databases
PostgreSQLMySQLRedisMongoDBCassandra
Tools
GitCI/CDKafkaSparkElasticsearch
Experience
Independent AI/ML Developer
Self-Directed Projects & Research- Building and shipping AI products — edumind-ai, neuralverse-ai, medmind-ai — focused on LLM agents, RAG pipelines, and agentic systems from prototype to deployment.
- Exploring full-stack AI product development: problem discovery, UX, evaluation, and operating these systems in realistic settings.
Software Engineer 2
Microsoft, Seattle & Vancouver- Built ML-driven security analysis tooling for Defender for DevOps, scanning 50K+ Azure DevOps/GitHub repositories to detect code, secret, dependency, and IaC vulnerabilities using intelligent pattern matching, reducing detection time by ~40% and increasing remediation throughput by ~60%.
- Designed and shipped predictive security dashboards using React and Knockout with ML-backed insights, delivering unified code-to-cloud visibility and driving ~30% higher feature adoption among 25K+ developers.
- Developed feature engineering pipelines and A/B testing frameworks for Azure Cloud Security, leveraging data-driven recommendations to streamline onboarding and cut setup time by ~50%.
Software Engineer 2
PayPal, San Jose- Architected and implemented an intelligent payment authorization system using feature engineering, controlled experiments, and ML-guided policies to optimize routing and retry logic, improving transaction efficiency and increasing authorization success by ~2–3% on high-volume global card traffic.
- Built high-throughput tokenization SDKs and APIs using Java (Spring Boot), Couchbase, Docker, and Kafka, supporting 50,000+ QPS and ~$2B daily volume with 99.99% uptime while integrating ML-based fraud detection and experimentation.
- Engineered a secure tokenization platform with intelligent lifecycle management, improving reliability and flexibility for stored payment instruments across multiple PayPal flows while maintaining PCI-compliant practices.
- Mentored four junior engineers on microservices, observability, and experimentation-driven development, establishing best practices for production systems and data-driven architecture.
Software Engineer
Decision Theater Network, Arizona- Developed an ML-assisted visualization and simulation platform (Python, JavaScript) for over 50 research projects, reducing analysis cycles by ~45% and enabling faster insight generation.
Education
Master of Computer Science (Data Science and AI)
Arizona State University, Tempe, AZ
- Coursework: Statistical Machine Learning, Artificial Intelligence, Multi-Robot Systems, Semantic Web Mining, and Cloud Computing.
Bachelor of Technology, Computer Engineering
Mumbai University, India
- Coursework: Machine Learning, Neural Networks, Fuzzy Logic, AI, Data Mining, and Computer Simulation Modeling.
Projects
Featured AI Projects
AI-powered educational intelligence platform with adaptive learning and analytics.
Unified AI development platform with multi-agent systems and knowledge graphs.
AI-powered medical intelligence platform with clinical decision support.
Other Projects
Cloud platform for scalable object detection using YOLO and AWS services.
AI-driven financial intelligence platform with portfolio optimization and risk analysis.
Music and text generation using deep learning models.
Photo captioning application powered by neural networks.
Website about various travel places in India with backend AI features.
Movies and TV shows recommendation engine with backend AI.
Personal travel app with ML-powered recommendations and sentiment analysis.
Portal connecting donors with NGOs to reduce food waste.
Prediction of house prices based on various attributes.
View all projects and source code on github.com/vikenparikh
Contact Me
Or email me directly at vsparikh1996@gmail.com