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Hi, I’m Apeksha Padaliya, a software engineer with 5+ years of experience delivering scalable, secure, and high-performance software solutions across fintech, retail, and enterprise domains. I specialize in full-stack development, cloud-native architectures, and AI integration, with hands-on experience in Java (Spring Boot), Python (Flask, Pandas), JavaScript/TypeScript (React, Next.js), and cloud platforms like GCP and AWS. I design microservices, RESTful and GraphQL APIs, and deploy event-driven systems using Kafka, gRPC, and Pub/Sub, with a strong emphasis on reliability and test automation.…Hi, I’m Apeksha Padaliya, a software engineer with 5+ years of experience delivering scalable, secure, and high-performance software solutions across fintech, retail, and enterprise domains. I specialize in full-stack development, cloud-native architectures, and AI integration, with hands-on experience in Java (Spring Boot), Python (Flask, Pandas), JavaScript/TypeScript (React, Next.js), and cloud platforms like GCP and AWS. I design microservices, RESTful and GraphQL APIs, and deploy event-driven systems using Kafka, gRPC, and Pub/Sub, with a strong emphasis on reliability and test automation.

Apeksha Padaliya

Full Stack Developer, Web Developer, Front-End Developer, +2

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Hi, I’m Apeksha Padaliya, a software engineer with 5+ years of experience delivering scalable, secure, and high-performance software solutions across fintech, retail, and enterprise domains. I specialize in full-stack development, cloud-native architectures, and AI integration, with hands-on experience in Java (Spring Boot), Python (Flask, Pandas), JavaScript/TypeScript (React, Next.js), and cloud platforms like GCP and AWS. I design microservices, RESTful and GraphQL APIs, and deploy event-driven systems using Kafka, gRPC, and Pub/Sub, with a strong emphasis on reliability and test automation.…Hi, I’m Apeksha Padaliya, a software engineer with 5+ years of experience delivering scalable, secure, and high-performance software solutions across fintech, retail, and enterprise domains. I specialize in full-stack development, cloud-native architectures, and AI integration, with hands-on experience in Java (Spring Boot), Python (Flask, Pandas), JavaScript/TypeScript (React, Next.js), and cloud platforms like GCP and AWS. I design microservices, RESTful and GraphQL APIs, and deploy event-driven systems using Kafka, gRPC, and Pub/Sub, with a strong emphasis on reliability and test automation.

Available to hire

Hi, I’m Apeksha Padaliya, a software engineer with 5+ years of experience delivering scalable, secure, and high-performance software solutions across fintech, retail, and enterprise domains. I specialize in full-stack development, cloud-native architectures, and AI integration, with hands-on experience in Java (Spring Boot), Python (Flask, Pandas), JavaScript/TypeScript (React, Next.js), and cloud platforms like GCP and AWS. I design microservices, RESTful and GraphQL APIs, and deploy event-driven systems using Kafka, gRPC, and Pub/Sub, with a strong emphasis on reliability and test automation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Software Engineer at PayPal

June 1, 2024 - Present

Led the integration of a Generative AI-powered chatbot using Google Cloud Vertex AI and large language models to automate customer dispute resolution, achieving a 50% reduction in case handling time and a 22% increase in customer satisfaction. Developed and A/B tested secure, customer-facing features for PayPal Checkout and Wallet using React (TypeScript) and GraphQL, contributing to a 10% uplift in conversion. Optimized data retrieval and inter-service communication via high-performance REST/GraphQL/gRPC APIs, reducing client-side latency by 40%. Architected and deployed scalable, secure infrastructure on GCP with Kubernetes Engine and Terraform, achieving 99.99% uptime and 70% provisioning time reduction. Enhanced platform security with AI-based fraud detection using TensorFlow, Google Cloud SCC, and Chronicle, reducing incidents by 35%. Open-sourced a scalable payment integration SDK adopted by 500+ developers, trimming third-party integration time by 60%. Mentored 3 junior engineer

Software Engineer at Target

June 1, 2024 - October 24, 2025

Engineered an event-driven architecture using Apache Kafka and Google Pub/Sub to orchestrate real-time inventory and pricing updates, achieving 70% lower sync latency and reliable handling of 10M+ daily events. Built and deployed full-stack features for Target’s online checkout platform using React.js, Node.js, and Java Spring Boot, contributing to a 5% reduction in cart abandonment during the 2023 holiday season. Developed AI-enhanced user interfaces with React Server Components (RSC), TypeScript, Tailwind CSS, and Next.js, achieving 30% performance gains through GraphQL Apollo Federation and WebSocket-based updates. Designed RESTful APIs for a core product information microservice, reducing average latency by 150ms and supporting 20,000+ RPS at peak. Deployed cloud-native apps on GCP (Compute Engine, Cloud Storage, Cloud SQL), delivering 30% cost savings and improved scalability. Containerized 12+ microservices with Spring Boot and Docker, introducing circuit breakers and retry log

Software Engineer at Cognizant

December 31, 2021 - October 24, 2025

Implemented microservices architecture using Spring Boot (Java) and Flask (Python) with secure JWT authentication, increasing system scalability by 40% and reducing latency by 30%. Developed ETL pipelines and data processing workflows with Python, Pandas, and Apache Spark, boosting data workflow efficiency by 35% and enabling real-time analytics for enterprise BI. Delivered a full-stack customer portal using Angular, Spring Boot, and PostgreSQL, improving user satisfaction by 28% and reducing page load time by 40% through frontend optimization and backend tuning. Designed and deployed scalable AWS infrastructure (EC2, RDS, ELB), achieving a 60% reduction in downtime and 45% improvement in throughput during peak. Collaborated with QA to create test automation frameworks with Selenium and pytest, increasing automated coverage by 45% and cutting regression testing time by 60%. Promoted Agile and Test-Driven Development practices across the SDLC.