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Gokul Kumar Balakrishnan

As an AI Engineer at V-Labs, I apply my machine learning skills and knowledge to design, develop, and deploy innovative AI solutions for various domains and clients. I work with a team of talented and passionate engineers, researchers, and developers, who share my vision of creating impactful and meaningful AI applications that can solve real-world problems and improve lives.

I have a strong academic background in machine learning, having completed my Master's degree from National Institute of Technology Karnataka, one of the premier engineering institutes in India. I also have a keen interest in programming and data science, and I am pursuing an online B.Sc degree from Indian Institute of Technology, Madras, another prestigious institution in the field. I have earned multiple certifications in Python, data science, and calculus.

My goal is to continuously learn, grow, and challenge myself as an AI Engineer, and to contribute to the advancement and democratization of AI. I am always eager to explore new opportunities, technologies, and domains, and to collaborate with other professionals, experts, and stakeholders in the AI ecosystem. I believe that AI has the potential to transform the world for the better, and I am excited to be a part of this journey.

  • Role

    AI Engineer

  • Years of Experience

    3 years

Skillsets

  • Python
  • machine_learning
  • Deep Learning
  • Generative AI
  • linux commands
  • LLMs
  • Natural Language Processing
  • prompting
  • Shell Scripting
  • SQL
  • Web Scraping

Professional Summary

3Years
  • Jul, 2022 - Present4 yr

    AI Engineer

    V-LABS
  • Jun, 2021 - Dec, 2021 6 months

    Project Intern

    DETERMINANT STUDIOS

Work History

3Years

AI Engineer

V-LABS
Jul, 2022 - Present4 yr
    Developed and deployed machine learning models, created RAG pipelines, authored specialized prompts, developed NER pipeline, and engineered data validation pipelines.

Project Intern

DETERMINANT STUDIOS
Jun, 2021 - Dec, 2021 6 months
    Developed an algorithm for the detection of color changes and classification of samples using OpenCV package.

Major Projects

2Projects

Identification of Chronic Myeloproliferative disorders using Deep learning techniques

    Performed image segmentation and classification of bone marrow cancer data using deep learning architectures such as UNet and ResUNet.

Classification of Subarachnoid hemorrhage dataset using various ML techniques

    Employed logistic regression, decision trees, random forest, and artificial neural networks to classify subarachnoid hemorrhage dataset.

Education

  • M.Tech in Machine Learning

    National Institute of Technology, Karnataka (2022)

  • B.E in Electrical

    Velammal Enginerring College (2019)

  • B.Sc in Data Science(Online)

    IIT Madras

  • SSLC & HSC (CBSE)

    K.V IIT Madras (2015)