DS

Dhanalakshmi S

B.Tech IT student · Aspiring AI/ML Engineer

Puducherry, India

@dhanalakshmi_s

0 followers

🎓 B.Tech in Information Technology specializing in Honors in AIML at Sri Manakula Vinayagar Engineering College · Graduating 2027

About

B.Tech student specializing in Information Technology with a focus on AI and Machine Learning. Experienced in building Python-based machine learning projects and internship solutions for automation, analytics, and model-driven applications.

Experience

  • AI/ML Intern
    CubeAI Solutions Tech Pvt Ltd
    Dec 2025 – Apr 2026

    Developed AI-powered clinical transcription and healthcare automation solutions using Python and Speech AI APIs. Performed data preprocessing, AI model integration, and medical text standardization to improve documentation accuracy. Collaborated with cross-functional teams to optimize AI workflows, REST APIs, and real-time application performance.

  • Python Developer Intern
    Infosys Springboard
    Sep 2025 – Dec 2025

    Developed and optimized LLM-based machine learning pipelines for AI-powered document transformation workflows. Performed debugging, model evaluation, and performance optimization to improve AI system accuracy and reliability. Collaborated in Agile teams to integrate AI models, automate workflows, and enhance software quality.

Education

  • B.Tech
    Information Technology specializing Honors in AIML · 2023 – 2027
  • Higher Secondary
    Amalorpavam Higher Secondary School
    Class XII · 2022 – 2023

Skills

6 to 12 months 6 to 12 months Most of a year behind them.
3 to 6 months 3 to 6 months A few months of practice with it.

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git GitHub Postman AWS Lambda Jupyter Notebook Amazon Simple Storage Service S3

Projects

  • Phoenix Guardian – AI-Based Healthcare Security & Clinical Automation Platform
    Python, FastAPI, PyTorch, React.js, Redis, JWT, REST APIs

    Developed an AI-powered healthcare platform for clinical automation and cybersecurity monitoring using Python and FastAPI. Built ML-powered modules for SOAP note generation, fraud detection, and healthcare threat monitoring with 90%+ automation accuracy. Implemented secure REST APIs and optimized AI workflows for scalable real-time healthcare applications.

  • AI-Driven Campus Wi-Fi Analytics & Anomaly Detection Platform
    Python, Scikit-learn, Pandas, NumPy, AWS Lambda, Amazon S3, API Gateway, Athena

    Developed a machine learning platform to analyze 10,000+ Wi-Fi network traffic records. Performed data preprocessing and built anomaly detection models for predictive network analytics. Automated cloud-based data processing using AWS Lambda, Amazon S3, API Gateway, and Athena.

  • LLM-Powered Semantic Plagiarism Detection System
    Python, PyTorch, Hugging Face, FastAPI, NLP

    Developed a semantic plagiarism detection system using NLP, machine learning, and transformer models. Performed data preprocessing, model evaluation, and performance optimization for accurate similarity detection.

  • AI-Driven Campus Wi-Fi Analytics & Anomaly Detection Platform
    Python, Scikit-learn, Pandas, NumPy, AWS Lambda, Amazon S3, API Gateway, Athena

    Developed a machine learning platform to analyze 10,000+ Wi-Fi network traffic records. Performed data preprocessing and built anomaly detection models for predictive network analytics. Automated cloud-based data processing using AWS Lambda, Amazon S3, API Gateway, and Athena.

  • LLM-Powered Semantic Plagiarism Detection System
    Python, PyTorch, Hugging Face, FastAPI, NLP

    Developed a semantic plagiarism detection system using NLP, machine learning, and transformer models. Performed data preprocessing, model evaluation, and performance optimization for accurate similarity detection.

Courses & certifications

  • Python for Data Science (Elite) · NPTEL
  • Software Testing · NPTEL
  • Python for Data Science (Elite) · NPTEL
  • Software Testing · NPTEL

🏆 Achievements & awards

  • Won the 24-Hour National-Level AI Hackathon

    Won for developing an innovative AI-based solution.

  • Top Global Finalist in the BLS360 Identity Hackathon

    Selected among 500+ participants.

  • Pre-Finalist in EY Techathon 2025 · 2025

    Achieved pre-finalist status for solving industry-focused AI problem statements.

  • Merit Award

    Received twice for outstanding academic performance and excellence.

  • Selected for Infosys Pragati: Path to Future Cohort 7

    Industry readiness and career development program.

  • IBM SkillsBuild Internship in AI & Cloud Technologies

    Completed in collaboration with AICTE and Edunet Foundation.

Explore the Broxer community

🤖
Online · instant AI help
Broxer