Sapan Jain

• Developing the PPT agents with the help of Auto Gen AI agent's tool. Trying to reduce the PPT creation time from weeks to few hours.
• Developed a Knowledge Graph creation system by injecting repositories (Python, JAVA, typescript etc) and generating the graphs using Falcon DB and Autogen Al agents. Leveraged Al techniques to analyze, parse and visualize code structure.
• Developed and deployed Al-powered solutions: Created a scalable, secure Gen Al application platform, integrating Azure OpenAl models for natural language understanding, text generation, and semantic search. Implemented email classification and data extraction from PDFs using Azure OpenAI GPT-4 and Document Intelligence tools.
• Designed custom conversational Al and document processing workflows: Built interactive chatbots for customer service using Azure OpenAl, optimized model performance with domain-specific data, and developed end-to-end document processing pipelines with OCR and ML. capabilities. Automated data extraction and entity recognition using Google Document Al.
• Conducted statistical analysis and machine learning projects: Analyzed complex datasets to address business challenges, implemented ML projects for cost savings and improved customer satisfaction, and trained a logistic regression model to predict renewal probability using Pandas for data preparation

Worked on the John Deere Connect Mobile iPad application used for monitoring and optimizing agricultural operations like planting, spraying, and harvesting. Responsibilities included manual acceptance testing, developing and executing automated test scripts using Appium (1.15.1) with Robot Framework (Python), identifying UI elements with Appium Inspector, and ensuring compatibility across various iOS devices. Also contributed to framework maintenance, mentored team members, and provided regular status updates to stakeholders.

Worked on an Inventory Management iOS application focused on modules like PI, Receive, Transfer, and UPS. Involved in automating both mobile and API testing using Appium (1.6.5), TestNG, and Selenium. Responsibilities included understanding requirements, clarifying queries with the business team, writing and executing automated test scripts across various devices and OS versions using Macaca Inspector Tool, and executing tests on Sauce Labs cloud environment. Also contributed to framework modification, script maintenance, team mentoring, and regularly provided status updates to the reporting manager.

Worked on CredR, an online marketplace for buying and selling pre-owned two-wheelers, focusing on apps like CredR Connect, CredR Inspector, and CredR Launcher. Responsible for automating test cases using Appium and performing API testing and automation using Postman. Logged and tracked defects in JIRA, ensuring comprehensive test coverage across mobile and backend systems.

Worked on the Citibank-NA Mobile App for Android and iOS platforms, enabling features like online payments, mobile check deposits, and PopMoney transfers. Automated test cases using SeeTest with the JUnit framework and generated .apk/.ipa binaries via Kony One Studio. Involved in testing Rich and SPA applications, defect logging in Digite, writing test cases from style guides and wireframes, and participating in client calls to understand new PCRs.