Personal Branding | Bio & Work
A freelancer, proficient in Python programming, I am currently interested in the field of Generative AI. My expertise extends to cutting-edge technologies such as Open and Closed source LLM APIs, RAG (Retrieval-Augmented Generation), fine-tuning methodologies, etc. I also have a solid grasp of fundamentals of the overall field of Machine Learning, Deep Learning. Alongside technical proficiency, I possess excellent communication skills, facilitating effective collaboration and knowledge sharing. I also love to learn the state-of-the-art research and development in this field.
Feel free to contact me for any work-related or freelance work queries!
GitHub: https://github.com/Varad2001
LinkedIn: https://www.linkedin.com/in/varad-khonde-62924719b/
YouTube: https://www.youtube.com/@CodeVerseAI
Medium : https://medium.com/@codeverseaichannel
X (Twitter) : https://x.com/varadkhonde
I am a skilled Python developer with over three years of experience, specializing in machine learning, artificial intelligence, web development, and automation. My expertise spans from creating intelligent AI applications to developing robust web solutions and efficient automation tools.
Key Skills and Technologies:
The project classifies defective and non-defective products from their images. It also marks the region around the defect if the image is predicted defective. No information about the defect is given to the model while training, i.e., no ground truths are provided. The architecture is made such that the whole process of how the model predicts specific results and marks the defective region is explainable. The project makes use of convolutional neural networks such as VGG16 architectures.
A web application that allows users to monitor and keep track of their favorite podcasts. The application periodically checks for new episodes of podcasts, summarises the podcast using LLM and sends notifications to the user via email when new episodes are available. It also provides a user interface for adding new podcasts to monitor and viewing the available podcasts.
This project tries to predict the faults in the Air Pressure System of heavy-duty vehicles using binary classification algorithms on the data collected by various sensors. Built a complete end-to-end machine learning pipeline to perform the steps: Data Ingestion, Data Validation, Data Transformation, Model Training, Model Evaluation, and Model Deployment.
In this project, I have tried to connect chatbots to WhatsApp using the Twilio API. The chatbots have access to user-defined tools.
B. Tech, Government College of Engineering
2019 – 2023 | Aurangabad, Maharashtra, India
Email: varadkhonde@gmail.com
OR Feel free to message using any social media platforms mentioned above!
Location: Chatrapati SambhajiNagar, Maharashtra, India