About me

I tackle challenges with excitement, as each solved problem fuels my passion for technological mastery.

I’m Manoj Routhu — a Machine Learning Engineer driven by curiosity, clean architecture, and just enough caffeine to keep things running smoothly. I believe great AI isn’t just about high accuracy scores, it’s about understanding the why behind the model, the how behind the pipeline, and the what now? when things break in production. I focus on building solutions that scale, adapt, and actually work outside a Jupyter notebook. Whether it's solving a complex problem or untangling messy data, I approach every challenge with a mix of logic, patience, and the occasional “Did I just break this or fix it?” moment. For me, technology is more than code it’s a craft of asking better questions and building things that matter.

"I don’t just build models. I build understanding one question, one insight, one system at a time." Let 's decode tech mysteries together and sprinkle in some fun along the way! Slide into my inbox for a tech chat or to share a meme. Either way, let's make this tech journey memorable!

What I'm doing

  • Data Analyst

    I specialize in data analysis, providing clear insights and actionable recommendations through concise reports and tools.

  • Machine Learning

    Unlock the full potential of your data with real-time, automated predictions using advanced algorithms.

  • Dashboards

    Experience interactive dashboards that present the latest results in a user-friendly manner by simply clicking and diving deeper into the data.

  • Computer Vision

    I am passionate about solving real-world problems using computer vision. I transform raw images and video data into actionable insights, enabling innovative solutions.

Certifications and Badges

Resume

Education

  1. SRM Institue of Science and Technology

    2020 — 2024
    • Bachelor of Technology in Computer Science and Engineering

Experience

  1. Specialist Programmer

    Infosys
    Jul 2024 - Present
  2. AI Research Intern

    Samsung R&D Institute
    Mar 2023 - Nov 2023
    • • Accomplished 20% image quality improvement through innovative temporal upsampling techniques like RIFE model implementation with Python, TensorFlow, and OpenCV.
    • • Contributed insights in design discussions and evaluations, refining project strategies for optimal outcomes.
    • • Enhanced proficiency in advanced image processing algorithms, showcasing adaptability and teamwork.
  3. Data Science Intern

    Caelum
    Feb 2023 - Jun 2023
    • • Accomplished the identification of the correct model for the virtual try-on feature for the Caleum website by conducting extensive research and analysis.
    • • Developed a specified HR vitron model using TensorFlow Keras.
    • • Developed a segmentation model for cloth segmentation from images using U-Net architecture in TensorFlow Keras.
  4. Machine Learning Intern

    Grroom
    Oct 2021 - Dec 2021
    • • Increased efficiency of the neural network by performing accuracy analysis.
    • • Ensured that data that are gathered are as accurate as possible.
    • • Performed accuracy analysis to provide a high level of quality and precision for a ML model.

My skills

  • Computer Vision
    80%
  • Data Analysis
    70%
  • Machine Learning
    80%
  • Python Development
    70%
  • Natural Language processing
    50%

Contact

Contact Form