Software Engineer with 1+ years in Agentic AI & LLM Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer specializing in Agentic AI and LLM systems, with experience building autonomous, tool-using agents for real-world enterprise applications. Developed AI agents with MCP-based tool invocation to perform real-world actions such as data retrieval and automated notifications. Skilled in Python, backend APIs, and scalable AI-integrated enterprise applications.
Dhirajlal Gandhi College of Technology
B.E · Civil Engineering
August 1, 2020 – June 30, 2023
Tibura Solution
Software Engineer
April 1, 2025 – Present
Chennai, Tamil Nadu, India
AI-Powered Inventory Intelligence System (Generative AI / LLM)
April 1, 2025 – Present
Built a Generative AI system enabling natural language queries on ERP inventory data. Developed an LLM (Mistral)-based pipeline to convert user queries into structured inventory requests with high contextual accuracy. Implemented RAG-based retrieval and prompt engineering for improved intent detection and response consistency. Designed a multi-turn conversational agent with context-aware decision flow. Integrated backend APIs with MongoDB and Redis for scalable data handling and performance optimization. Connected AI backend to a Flutter-based chatbot UI for end-to-end interaction.
AI-Powered Employee Insights Agent (Azure Bot + MCP)
April 1, 2025 – Present
Built an enterprise AI agent integrated with Microsoft Teams for querying employee timesheet and performance data. Designed intent-driven workflows enabling dynamic backend action execution based on user queries. Implemented MCP-based tool invocation allowing the agent to perform real-world actions such as automated email notifications. Developed decision-based logic for identifying low-performing employees and triggering appropriate actions. Implemented multi-turn conversational handling with contextual understanding. Integrated secure backend APIs for real-time enterprise data retrieval.
Expense Management Mobile Application
April 1, 2025 – Present
Developed a cross-platform mobile application (Android & iOS) for enterprise expense management. Implemented secure authentication, REST API integration, and dynamic UI updates.
Certified in Java Full Stack Development
JSpiders - Chennai
June 1, 2026 – Present
Python
Besant Technology, Chennai
June 1, 2026 – Present
JAVA Fundamentals Course For Beginners
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical experience in cutting-edge AI technologies, which aligns well with innovative and forward-thinking teams. The diversity of projects (inventory intelligence, employee insights, mobile expense management) shows adaptability and a willingness to tackle different problem domains. However, the short professional experience (1 year) and a civil engineering background might indicate a non-traditional path into software engineering, which could be a cultural fit depending on the team's openness to diverse backgrounds.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate complex requirements into functional AI systems. The focus on enterprise applications suggests an understanding of business needs and operational deployment. However, without direct interaction or psychometric test results, it's difficult to assess collaboration, stress handling, or communication clarity beyond written descriptions.