About

As a Junior AI Developer at IAgami Technologies, I have spent the past year developing AI-powered workflows using Python and Large Language Models to enhance application functionality and improve operational efficiency. I have worked on systems involving REST APIs, workflow automation, and data processing, contributing to projects that reduced manual effort by up to 70%. My strongest skills include Python, SQL, REST APIs, and AI development, with experience in tools like n8n, FastAPI, and LangChain. I am looking to advance my career as a Software Engineer, focusing on AI-assisted operations, data extraction, and automation.

Experience

1. Junior AI Developer

   IAgami Technologies

   Aug 2025 – Aug 2026 · Gundūr, Tamil Nadu

   Developed AI-powered workflows using Python and Large Language Models to improve application functionality. Integrated REST APIs to exchange data between services and support automated backend processes. Used Python and SQL to validate data, troubleshoot issues, and improve application reliability. Tested AI-generated outputs and prompt variations, investigated errors, and documented findings. Collaborated with team members to debug applications and improve workflow efficiency.

2. Machine Learning Intern

   Geekstack

   Jun 2022 – Jul 2022

   Processed and analyzed datasets containing over 10K records using Python to identify patterns. Evaluated machine learning results and documented findings to support analysis and model improvement.

Education

1. Bannari Amman Institute of Technology, Erode

   B.E. Computer Science and Engineering

   2021 – 2025 · Grade: 82.1%

Projects

• Customer Onboarding Automation

  • n8n
  • REST APIs
  • OpenAI

  Automated customer onboarding workflows using n8n, REST APIs, and OpenAI to streamline repetitive tasks. Integrated CRM updates, personalized email communication, and follow-up scheduling into the workflow.

• Retrieval-Augmented Generative AI

  • Python
  • FastAPI
  • RAG

  Developed a FastAPI-based application for document retrieval and question answering using vector search and Large Language Models. Processed document content and validated retrieved information for relevance and consistency.

• NutriLLM – AI Nutritionist Platform

  • Python
  • FastAPI
  • React.js

  Developed AI-driven workflows to generate personalized recommendations based on user inputs and structured data. Integrated backend APIs and validated data flows between application components.

Certifications

• Python for Data Science

  NPTEL · 2025

• Data Visualization

  Cognitive AI · 2025

• Data Structures in Java

  Coding Ninjas · 2025

Achievements

• Special Performer Award – BIT Hackathon

  2023

  Special Performer Award – BIT Hackathon

• Finalist – BIT 2023 Hackathon

  2023

  Finalist – BIT 2023 Hackathon

• Qualified VISAI’23 International Project Competition

  2023

  Qualified VISAI’23 International Project Competition