Ashish Mohite

AI Assistant for Inventory Management

Objective:
Designed and developed an AI-powered assistant that understands natural language to provide real-time insights into store operations, product details, purchase orders (POs), shipments, and tracking updates.

Key Contributions:

• AI Integration: Leveraged Gemini LLM to build a conversational AI assistant capable of interpreting user queries and delivering accurate, actionable insights.
• Designed a Retrieval-Augmented Generation (RAG) application using Streamlit , LangChain , and LangSmith for efficient knowledge retrieval and query resolution.
• UI Development: Designed and implemented an intuitive and visually enhanced user interface, facilitating seamless collaboration between users and the AI assistant.
• Integrated user-friendly features like Data Mode and enhanced shipment tracking for a conversational and informative user experience.
• Feature Enhancement: Added functionalities such as real-time shipment status, PO tracking, and product insights through natural language interactions.
• Incorporated advanced data handling capabilities to streamline inventory management workflows.
• Feedback & Continuous Improvement: Actively gathered feedback from stakeholders to refine the interface and implement additional features.
• Continuously learned and applied best practices in UI/UX design , AI integration , and code development to enhance the product.

Achievements:

• Delivered an intelligent inventory management tool that reduced manual effort and improved operational efficiency.
• Enabled stakeholders to retrieve actionable insights quickly, boosting decision-making accuracy.
• Improved system response time and user engagement through streamlined backend and frontend optimizations.

Tools & Technologies:

• Programming Languages: Python
• Frameworks & Libraries: Streamlit, LangChain, LangSmith
• AI Models: Gemini LLM
• Tools: Visual Studio Code, Git

• End-to-End Automation: Delivered process automation solutions leveraging Infosys' proprietary tool LEAP, ensuring efficient workflows and optimized operations.
• Client Collaboration: Partnered closely with the client to understand existing business processes, identify inefficiencies, and propose automation or machine learning (ML) solutions.
• Use Case Development: Analyzed potential automation and ML opportunities, developed proof-of-concept (POC) prototypes to validate solutions, and mitigated technical risks.
• Solution Design: Built scalable, reusable, and efficient automation frameworks using AI, ML, and Python technologies, catering to diverse business lines.
• Project Lifecycle Management: Presented project progress and conducted live demos to stakeholders to gather feedback for iterative improvements.
• Facilitated user acceptance testing (UAT) to secure client sign-off for production deployment.
• Data Insights: Created interactive dashboards and visualizations to provide actionable insights for data-driven decisions.
• Database Management: Performed regular housekeeping tasks, ensuring database optimization and minimal downtime.
• Server Management: Oversaw server operations, maintained performance, and resolved server-related issues efficiently.
• Stakeholder Communication: Acted as a liaison between technical and non-technical teams to ensure alignment on project objectives.
• Streamlined and automated business processes, reducing manual efforts and improving process accuracy by 30%.
• Successfully deployed multiple automation projects, delivering measurable ROI within project timelines.
• Standardized reusable automation components, reducing development time for new projects by 40%.
• Collaborated with a cross-functional team of 6 members, including developers, analysts, and stakeholders.
• Programming Languages: Python, SQL, Windows PowerShell
• Technologies: Machine Learning
• Tools: Visual Studio Code, Git, Infosys LEAP

Responsibilities:

• Test Case Design and Execution: Created and executed automated test cases using Selenium for a wide range of applications.
• Implemented Page Object Model (POM) , Data-Driven , and Hybrid Automation Frameworks to enhance testing efficiency and maintainability.
• Developed and maintained Selenium automation scripts aligned with scrum stories in an Agile environment.
• Software Development & Testing Life Cycles: Well-versed in Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) , ensuring seamless integration between development and testing phases.
• Prepared comprehensive Requirement Traceability Matrices (RTM) to guarantee coverage of all functional requirements.
• Defect Management: Expertise in identifying, reporting, and verifying defect fixes using tools like HP ALM and JIRA , ensuring high product quality.
• Experienced in regression testing at various stages of development to validate existing functionality.
• API Testing & CI/CD Integration: Conducted API testing using Postman and ensured reliable API responses and functionality.
• Integrated Selenium automation with Continuous Integration/Continuous Deployment (CI/CD) tools such as Jenkins to automate test execution.
• Wealth Management Domain: Worked extensively with the Wealth Management Tool Avaloq , gaining insights into domain-specific testing scenarios and requirements.
• Team Collaboration: Coordinated with cross-functional teams to ensure the delivery of quality software within deadlines.
• Reviewed and executed test cases, providing timely feedback to developers and stakeholders.
  

Technical Skills:

• Automation Tools: Selenium, Cucumber, Postman
• Test Management Tools: HP ALM, JIRA
• Programming Languages: Java, Python
• Database: MySQL
• CI/CD & Version Control: Jenkins, Bitbucket, Git, Stash

Soft Skills:

• Quick learner with the ability to adapt to new tools and technologies quickly.
• Excellent team player with strong communication and collaboration skills.