Darshan Bhansali

Darshan Bhansali

Senior Software Engineer

Results-driven Senior Software Engineer with 6+ years of experience designing and building scalable, high-performance systems that handle millions of transactions seamlessly. Proven ability to translate complex business needs into efficient, future-proof architectures, leading cross-functional teams to deliver robust and scalable solutions. Expertise in integrating third-party services, optimizing system reliability, and reducing failure rates, ensuring seamless performance at scale. Passionate about leveraging cutting-edge technologies to develop resilient, innovative solutions that drive business growth and align with strategic objectives.

Darshan Bhansali

Work Experience

My professional journey over the years.

2022 - Present

Senior Software Engineer

Walmart Inc.

  • Architected and developed a high-performance, multi-tenant seller wallet platform, facilitating seamless transactions for thousands of daily active sellers, driving a 30% increase in seller satisfaction and boosting revenue streams.
  • Led and mentored a cross-functional team of 5+ engineers, spearheading the design and implementation of scalable payments microservices with RESTful APIs and enterprise-grade security protocols, ensuring 99.99% system reliability.
  • Developed a highly resilient global billing platform using Java, Spring Boot, Kafka, and Cassandra, processing billions in annual transactions for Walmart Marketplace services.
  • Led end-to-end system integrations with third-party payment providers, including JPMC and PayPal, enhancing transaction security and reducing payment failures by 20%.
  • Collaborated with business, product, and legal teams to gather requirements, analyze existing systems, and drive strategic technology decisions that align with business goals and compliance standards
Java
Copilot
Cassandra
GCP
Azure
SpringBoot
REST
AzureSQL
Team Lead
Apache Kafka
Docker
Kubernetes
Jenkins
Meghacache
TestNG
2021 - 2022

Software Engineer 3 - Full Stack

Walmart Inc.

  • Developed and optimized critical payment and billing UI components using React, enhancing transaction clarity and reducing user support requests by 35%.
  • Migrated legacy payment monolithic app to a microservices architecture, boosting scalability and maintainability by 50%.
  • Developed high-throughput batch jobs using Java & Kafka, tripling payment reconciliation speed and automating critical workflows, reducing manual effort by 90%.
  • Implemented credit card billing for global sellers, boosting billing flexibility by 70% and reducing failures by 30%.
  • Developed Walmart’s Seller App Store, leveraging OAuth 2.0 standards enabling secure seller data sharing with channel partners and vendors through seamless integration, elevating the seller authentication experience by 100%.
Node
Full Stack Development
Cassandra
Jenkins
OAuth 2.0
React.js
Java
SpringBoot
Cassandra
Elasticsearch
Kibana
Mocha
2015 - 2017

Software Engineer 2 - Full Stack

Ebay Inc.

  • Developed eBay’s global payments onboarding UI and backend services using Marko.js, Express.js, Node.js, and Java Springboot, successfully migrating 25M+ sellers to a next-gen payments platform.
  • Implemented 100+ automated tests with Java, MongoDB, and Jenkins for continuous integration and regression testing.
  • Engineered a real-time data pipeline to push metrics and errors to Elasticsearch using Java, and visualized performance dashboards in Kibana, improving error tracking and alerting by 50%.
  • Conducted security scanning using SAST and DAST tools, including ZAP and Fortinet, ensuring code security and compliance.
Node
Express.js
Jenkins
Java
React.js
Elasticsearch
Kibana
Marko.js
SpringBoot
Jenkins
TestNG
Selenuim
2019 - 2019

Mobile Quality Engineering intern

Shutterfly Inc.

  • Created a web application in React to automate test account creation flow; reduced the existing flow time by 90%.
  • Developed a REST API in Python using Flask framework for bulk test account creation on production, stage, and beta environments.
  • Developed an automation framework in Java-Selenium to perform functional and integration testing of 3000+ e-commerce products, saving 70% of manual QA work.
Python
Flask
Java
Selenium
Automation
TestNG
Git
2017 - 2018

Software Automation Engineer

FinIQ Consulting

  • Identified test cases and created a framework in Java-Selenium to automate the lifecycle of 8 projects for functional and cross-browser testing; saved 80% of manual testing time.
  • Managed and conducted an automation training program for 10+ new hires; boosted the team's throughput by 30%.
  • Developed a custom test automation framework in Java-Selenium for a web-based trading platform, reducing the regression testing time by 50%.
Java
Selenium
Automation
TestNG
Git

Education

My academic background and qualifications.

Santa Clara University

Master of Science in Information Systems

2018 - 2020 | Santa Clara, CA

Specialized in Data Science and Machine Learning.

University of Pune

Bachelor of Science in Computer Engineering

2013 - 2017 | India

Comprehensive program covering both hardware and software aspects of computing systems.

Awards & Recognition

eBay SPOT AWARD

Ebay Inc.

2021

4 times winner of eBay SPOT AWARD for outstanding performance in the team.

Impact Award

Walmart Inc.

2022

Received Impact Award for quickly onboarding new team members and improving team efficiency.

Bravo Award

Walmart Inc.

2024

Received this award for designing scalable systems

Personal Projects

Showcasing some of my favorite work.

AI-Powered Customer Chatbot for Online Marketplace

AI-Powered Customer Chatbot for Online Marketplace

Designed and developed an intelligent customer support chatbot using OpenAI’s GPT-4o via Azure OpenAI Service. Leveraged retrieval-augmented generation (RAG) to enhance chatbot responses using domain-specific data.

GPT-4o
Azure OpenAI Service
RAG
Python
Streamlit
AI-Driven Inventory & Ad Spend Analysis App

AI-Driven Inventory & Ad Spend Analysis App

Built an interactive web application using Streamlit, Azure AI Services, and LangChain to analyze inventory trends and advertising spend based on uploaded documents. Utilized OpenAI Models, Vector Databases (Pinecone), and Embedding Models to enable intelligent document understanding. Developed Agentic AI-powered Smart Assistants that can autonomously perform inventory forecasting, ad spend recommendations, and trend analysis on demand using LLM-based reasoning

GPT-4o
LangChain
Embedding Models
Vector Databases
Azure OpenAI Service
RAG
Python
Streamlit

Tools & Technologies

The technologies I work with on a daily basis.

Languages
Java
Python
JavaScript
TypeScript
HTML/CSS
SQL
AI & ML Technologies
Azure AI & Search Service
LangChain
OpenAI Models
Agentic AI
scikit-learn
Vector & Embedding Models
Vector Databases
Embedding Models
FAISS
Frameworks
Spring
SpringBoot
Node.js
React
REST
Streamlit
Express.js
Next.js
Django
Flask
Clouds
Azure
GCP
Databases
MySQL
Cassandra
AzureSQL
Automation & Testing
Selenium WebDriver
TestNG
JUnit
Postman
Mocha
Jenkins
Cypress
Jest
Tools
GitHub
GitHub-Copilot
Maven
JIRA
Visual Studio
dbeaver
Kafka
Swagger
Splunk
Docker
Kubernetes

Get In Touch

Feel free to reach out for collaborations or just a chat.

LinkedIn

Connect with me professionally

www.linkedin.com/in/dpbhansali/