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About

Passionate AI/ML Engineer with strong foundation in machine learning, statistical analysis, and model deployment. Experienced in real-world projects involving NLP, forecasting, and data-driven decision making.

Experience2

  1. Product Strategy Intern

    Feb 2026 — April 2026

    MyLaPay

    Worked on API testing and transaction validation for real-time fintech systems. Gained exposure to authentication, authorization, and payment workflows. Performed debugging and validation across multiple transaction scenarios. Worked on scalable operational workflows and edge-case handling.

  2. Intern

    Jan 2023 — Feb 2023

    Axias Global Automation Group

    Worked on automation workflows and validation systems. Assisted in debugging and workflow reliability improvements. Performed testing and process validation tasks.

Projects5

  • AI Agentic YouTube Comment Sentiment Analysis & SQL Reporting System

    Built AI-powered analytics system for sentiment analysis and SQL-based reporting. Developed automated workflows for extracting and processing YouTube comments. Integrated NLP pipelines and structured reporting workflows for analytics generation. Designed scalable AI workflow for operational insights and trend analysis.

    • GitHub

  • AI Clinic Scheduler (LangGraph + Twilio)

    Built agentic AI workflow using LangGraph with autonomous scheduling logic. Integrated Calendly and Twilio APIs for real-time scheduling and notifications. Designed fault-tolerant workflows handling retries and interruptions. Worked on AI-driven orchestration and decision-based execution flows.

    • GitHub

  • Meeting Intelligence System – Video Captioning & Summarization

    Built AI-powered meeting intelligence workflow for summarization and OCR extraction. Generated structured PDF/DOCX reports with timestamps and meeting insights. Automated documentation and post-meeting analytics workflows. Worked on contextual information extraction and structured response generation.

    • GitHub

  • Claims Fraud Detection System (FastAPI + ML)

    Built production-style FastAPI backend for fraud detection workflows. Implemented anomaly detection using Isolation Forest and rule-based systems. Designed APIs for fraud scoring, data ingestion, and prediction workflows. Integrated machine learning inference into scalable backend services.

    • GitHub

  • Tamil Article Sentiment Analysis using BERT

    Built transformer-based NLP pipeline using BERT for sentiment classification. Performed preprocessing, tokenization, and multilingual text analysis. Improved sentiment prediction on low-resource Tamil datasets.

    • GitHub

Education1

  • BTech

    2021 — 2025

    Saveetha Engineering College

    Artificial intelligence and machine learning