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Balyogi Mohan D. AI, Machine Learning and Computer Vision Platforms

My name is Balyogi Mohan D. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Large Language Model, Machine Learning, Diffusion Model, YOLO, etc.. I hold a degree in , Doctor of Philosophy (PhD). Some of the notable projects I've worked on include: LLaMA Fine-Tuning Pipeline with PyTorch, RAG application using Open-source LLM, Industrial Anomaly Detection with Computer Vision, YouTube Channel focused on AI and Machine Learning, Building a Real-Time Image Classifier with Streamlit and PyTorch, etc.. I am based in Lille, France. I've successfully completed 7 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • AI, Machine Learning and Computer Vision Platforms

    4 years

  • Computer Vision

    1 Year

  • Large Language Model

    1 Year

  • Machine Learning

    3 Years

Additional skills

  • Computer Vision
  • Large Language Model
  • Machine Learning
  • Diffusion Model
  • YOLO
  • Image Segmentation
  • Anomaly Detection
  • AI-Generated Image
  • LoRa
  • LLM

Direct hire

Potentially possible

Previous Company

BUAWEI

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Experience Highlights

LLaMA Fine-Tuning Pipeline with PyTorch | Hugging Face

This project showcases a complete fine-tuning pipeline for the LLaMA 1B model using Hugging Face Transformers, designed to run efficiently on just 2.3 GB of VRAM. It highlights my expertise in low-res

RAG application using Open-source LLM

This project can help you find answers to life's biggest questions—straight from the Bhagavad Gita. In this project, I’ll show you how to build an AI-powered spiritual guide using Retrieval-Augmented

Industrial Anomaly Detection with Computer Vision

Explore convolutional autoencoders with this beginner-friendly PyTorch tutorial. Learn the basics of autoencoder architecture and get step-by-step guidance on building and training your model. Ideal f

YouTube Channel focused on AI and Machine Learning

Launched a YouTube channel dedicated to data-driven condition monitoring, LLM and Computer Vision

Building a Real-Time Image Classifier with Streamlit and PyTorch

Deep dive into PyTorch: Understand the fundamentals of PyTorch for building deep learning models. Image classification: Learn how to train a PyTorch model to classify images. Streamlit app developmen

Education

  • Indian Institute of Technology (IIT) Kharagpur

    in Mechanical Systems Design

    2019-01-01-2021-01-01

  • Université de Lille

    Doctor of Philosophy (PhD) in Artificial Intelligence for Automation

    2021-01-01-2024-01-01

Languages

  • English (Native or Bilingual)
  • French (Conversational)
  • Hindi (Native or Bilingual)