Gangadhar Bhuvan

Driven. I am grateful for my life, empathetic to the people around me, and optimistic about the future. My work to have an impact on the lives of real people.

Data Scientist – Quadratyx                                                     June 2021 – Present

• Developed conversational tools for private document files and databases, enhancing interaction with domain-specific data.


• Utilized Azure AI services and worked with state-of-the-art models like Whisper, Llama2, GPT-4, and other open-source Large Language Models (LLMs).


• Performed fine-tuning on LLMs, specializing in building Retrieval-augmented Generation (RAG) models using Langchain and Llamaindex frameworks.


• Proficient in creating PySpark scripts for efficient data wrangling and munging on transactional data.


• Automated data workflows using Apache Airflow for scheduling and monitoring, optimizing overall workflow efficiency.


• Developed efficient task scripts with Flask API and Django API.


• Built diverse tree-based models on Azure Databricks using Azure DataLake storage data.


• Involved in building end-to-end pipelines and also in customer discussions.


• Built an email automation tool for daily quality analysis and classification reports.


• Executed OCR-based data extraction and image processing techniques using OpenCV on medical images data.


• Designed and built PowerBI dashboards.

Machine Learning Intern – Aryabhata Technologies (Startup)                            Oct 2020 – March 2021

• Research and implementation of Neural network methods for plant segmentation and detection.


• Utilizing OpenCV technique to perform object, edge detection, & image recognition.


• Worked with GANs, Convolutional layers, with multiple hidden layers to generate more data, while having small dataset, using TensorFlow-Keras and PyTorch Library.


• Developing an internal tool to fetch (extract) image data based on user query, using scraping technology like Scrapy, Selenium.


• Developed an internal tool using Keras library for Data Augmentation, impacted the team members to have much large data to process and work with.


• Worked as a Product Developer.


• Acquired experience in technologies such as Selenium, Data Wrangling/Cleaning, PyTorch3D, GANs, OpenCV, Bitbucket.

Presidency University, Bangalore - B.Tech, Computer Science and Engineering (CSE)                 2017 – 2021

• Programming Languages - Python, C, JavaScript


• Frameworks/Libraries - PySpark, LlamaIndex, Langchain, TensorFlow, PyTorch, Keras, Flask, Django.


• Cloud - AWS, GCP, Azure.


• Database System - MongoDB, MySQL.


• Technologies/Tools - Git, Airflow, Postman, PowerBI, Selenium, Scrapy, OpenCV, Docker.

• Microsoft Azure Data Fundamentals (DP-900) and Azure AI Fundamentals (AI-900).


• Apache Airflow official certification.


• Databricks – Generative AI, and Data Lakehouse Fundamentals.


• Kaggle Competition – “Zero to GANs Human Protein Classification” – Top 10%.


• Successfully completed IBM Data Science Professional Certificate course.


• Successfully five-course specialization Architecting with Google Compute Engine by Google Cloud on Coursera.


• Completed “Joy of Computing in Python” and “Social Networks” course by NPTEL from IIT Madras and IIT Ropar.


• Summer Analytics a Data Science boot camp course (250+ hours) organized by Consulting & Analytics club, IIT Guwahati.


• Google Action Developer, Alexa Skill Developer – Created & Deployed the Chatbots in Google Assistant and Amazon Alexa.


• Global Green Revolution Certification by ICCE and United Nations.


• Attending major Tech events for learning & networking, in Bangalore & Hyderabad.

I build many Machine Learning, Deep Learning Projects and deployed. Checkout few below ↓

Traffic Sign Recognition using Deep Learning with AWS Sagemaker

Traffic Sign Classification Using Deep Learning Neural Network (LeNet) and Deployed using Aws Sagemaker

Face Recognition with Flask

Face & Gender Recognition web app using ML and Opencv deployed in Flask.

Squats Count using Pose Estimation

Counting the number of Squats with Pose Estimation, using Mediapipe, OpenCV.

Human Protein Image Classification - Kaggle Competition

Using Neural Networks, Classifying mixed patterns of proteins in microscopic biomedical images for analyzing to accelerate the understanding of human cells and disease.

ML for Twitter API

Machine Learning with Twitter API for Sentiment Analysis of Global Tweets with Map Visualization

Covid-19 Data Analysis with Tableau

Exploratory Data Analysis (EDA) with Covid19 cases (Interactive) with location, top 10 countries data using Tableau Dashboard

Deep Water Boat House

Website (Dynamic web page) to book boat house in Alleppey, with multi pages - aboutus, services, blogs, contactus page.

Say hello anywhere! Whether you have a job or a project, have ideas/updates on my work, want to discuss or pitch a business idea or just say hello, I make sure to reply within 48 hours.