Jira , Confluence, VS Code, IntellliJ IDEA CE, PyCharm CE, GitHub, Postman, SSMS, LCEP Studio Client


Software Engineering professional with 7+ years of experience in application development, full-stack engineering, low-code/no-code development, and Generative AI solutions. Experienced in delivering customer-centric enterprise applications across B2B Commerce, B2B Sales, and Backoffice domains, with a strong focus on business requirements, user experience, and high-quality solution delivery. Hands-on experience in developing GenAI-powered applications and intelligent assistant solutions using the Amaiz platform. Proven ability to collaborate with cross-functional teams and deliver impactful, business-focused solutions in Agile environments.
JavaScript, Python, JIRA, Postman
React, CI/CD pipelines, LLM libraries, SQL
GenAI, REST APIs, Git, C# development
Web application development, Application deployment, Database development, REST API integration
Python: Used to develop GenAI application components
GenAI/LLMs: Built an assistant chatbot supporting proposal comparison, summarization, search, and order-related queries
Jira , Confluence, VS Code, IntellliJ IDEA CE, PyCharm CE, GitHub, Postman, SSMS, LCEP Studio Client
Backoffice Application | Amdocs | Nov 2025 to Present
• Contributing to the development and enhancement of a Backoffice application, delivering customer centric features and improving business workflows.
• Collaborating with cross functional teams to understand business requirements and deliver high quality application features aligned with business objectives.
GenAI Powered Enterprise Assistant | Amdocs | Oct 2024 to Nov 2025
• Built and configured GenAI powered assistant applications using the Amaiz platform, with Python based backend development for user query processing, LLM API and REST API integration, document based information retrieval, data transformation, and enterprise system integration.
• Developed and delivered GenAI capabilities including Proposal Search, Proposal Summarization, Proposal Comparison, Order Search, and Order Summarization, enabling users to efficiently retrieve and analyze business information.
B2B Commerce Application | Amdocs | Apr 2023 to Oct 2024
• Developed and delivered customer centric features for a B2B Commerce application, translating business requirements into scalable solutions and enhancing user experience.
• Collaborated with cross functional teams to deliver high quality features and improve application functionality.
B2B Sales Application | Amdocs | May 2022 to Apr 2023
• Developed and delivered business critical features for a B2B Sales application, focusing on customer requirements, process efficiency, and user experience.
• Collaborated with stakeholders and cross functional teams to implement and enhance application capabilities.
DigiCx | Dr. Reddys Laboratories | Apr 2020 to Feb 2022
• Developed a web application for managing doctor data, contracts, and payment related information, integrating Microsoft Power Automate with CLM and DocuSign for contract processing and digital execution.
ILHV | Dr. Reddys Laboratories | Oct 2019 to Apr 2020
• Developed a centralized toxicology data repository to improve research data accessibility, availability, and reduce duplication of efforts.
RSN | Dr. Reddys Laboratories | Oct 2019 to Jul 2021
• Developed an application for managing market and regulatory data for Drug Substance and Drug Product documentation, integrating with GBQ for validated data retrieval.
EBAT | Dr. Reddys Laboratories | Feb 2019 to Oct 2019
• Developed an application to manage the end to end drug formation process, from initial request through drug formation and approval.
Generative AI & LLM Application Development: Advancing and upskilling hands-on knowledge of LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI application development.
LangChain & LangGraph: Building hands-on in LLM application orchestration and knowledge of Agentic AI workflows.
Python for GenAI Development: Strengthening Python skills for AI application and backend development.
Docker & Kubernetes: Developing knowledge of containerization and container orchestration for AI application deployment.
CI/CD & DevOps: Building foundational knowledge of modern software deployment, automation, and CI/CD practices.