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Lakshmi-krishna-vr/README.md

Hi 👋, I'm Lakshmi Krishna V R

Coding Enthusiast | ML & AI | Cloud Computing | Data Science

I am a Computer Science Engineering student passionate about building intelligent systems using Machine Learning, Deep Learning, and Cloud technologies. I enjoy solving real-world problems, developing innovative software solutions, and learning cutting-edge technologies.

🌱 Currently Studying

Computer Science Engineering (Saintgits College of Engineering)

📫 Contact

Email: vrlakshmikrishna@gmail.com

🚀 Experience

🔹 Intel — Industrial Trainee (May 2025 – July 2025)

  • Focused on image enhancement & knowledge distillation.
  • Built a real-time image sharpening system where a large teacher model trained a lightweight student.
  • Achieved SSIM = 0.94 and PSNR = 34.79 dB.
  • Optimized models for edge devices and prepared the final technical report.

🔹 NeST Digital — Cloud Computing Intern (Jun 2025 – Jul 2025)

  • Hands-on with Azure VMs, App Services, Blob Storage, SQL, Cosmos DB, CI/CD Pipelines.
  • Built a Student-Class Management API with Postman testing.
  • Gained strong foundations in deploying scalable cloud applications.

📘 Projects

🔸 Image Sharpening using Knowledge Distillation (May–July 2025)

  • Designed a deep learning based sharpening model for motion/compression blur.
  • Student–Teacher architecture using the DIV2K dataset.
  • Optimized for smartphones & video conferencing applications.
  • SSIM 0.94, PSNR 34.79 dB.

🔸 Accent-Based Cuisine Recommender (Oct - Nov 2025)

A smart application that analyzes speech, detects the user’s regional accent, and instantly recommends matching Indian cuisines using an ML-powered audio classifier and a cuisine-mapping recommendation engine.

🔸 Sentiment Analysis on Customer Reviews (May–July 2024)

  • Compared RoBERTa and VADER sentiment models.
  • Built visualizations: pair plots, bar charts.
  • Analyzed correlation between star ratings & sentiment scores.

🔸 Spam Mail Prediction (Oct–Dec 2024)

  • Built an ML classifier using TF-IDF + Logistic Regression / Naive Bayes.
  • High accuracy in email spam detection.
  • Improved email filtering efficiency.

🔸 Iris Prediction Model (May–July 2023)

  • Simple ML model using scikit-learn for Iris species classification.
  • Achieved high accuracy.

🎓 Education

  • B.Tech in Computer Science Engineering — Saintgits College of Engineering (2023–2027)
    GPA: 8.479
  • Class 12 — 94%, Kendriya Vidyalaya Kanjikode (2023)
  • Class 10 — 94.6%, Kendriya Vidyalaya Kanjikode (2021)

🛠️ Skills

Programming

Python, Java, JavaScript, SQL, HTML, CSS

ML & AI

Machine Learning, Deep Learning, Data Visualization, TF–IDF, VADER, RoBERTa

Tools & Frameworks

TensorFlow, OpenCV, Git, Azure Cloud, CI/CD, Postman

Leadership

  • Open Source Club – Core Team Lead (May 2024 – Present)
  • Blockchain Club – Event Head (Oct 2025 – Present)

🏆 Achievements

  • Stride Makeathon Finalist 2025 — Developed Eazip, an adaptive zip mechanism helping students with tremors or physical disabilities.

🌐 Connect With Me

🧰 Languages & Tools

Pinned Loading

  1. LINK-IT_dbms_project LINK-IT_dbms_project Public

    LINK IT- this project helps to find your peer whom you can connect for project,hackathons,collaborate to learn. This most useful for a student who can build their profile and connect with others. I…

    HTML 1

  2. ML-foundations-and-advanced-techniques ML-foundations-and-advanced-techniques Public

    A curated collection of Jupyter Notebooks covering core and advanced Machine Learning techniques. Includes NumPy, Pandas, data preprocessing, visualization, TensorFlow basics, and tasks like handli…

    Jupyter Notebook

  3. TeamLuminous-ImageSharpeningUsingKnowledgeDistillation TeamLuminous-ImageSharpeningUsingKnowledgeDistillation Public

    This is the repository TeamLuminous's IntelUnnati project work on Image Sharpening Using Knowledge Distillation

    Jupyter Notebook 1

  4. IIITH_project-SpeechFlavorMapper IIITH_project-SpeechFlavorMapper Public

    This project identifies regional accents from speech using machine learning and recommends appropriate cuisines based on the predicted language, integrating audio processing, accent classification,…

    Python