Ganesh Sri Prasad K B | Software Developer

Hi, I'm Ganesh Sri Prasad K B.

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Self-driven, quick learner, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. I have worked on technologies like Python,FastAPI, AI , GenAI, Django, Flask, SQL, MySQL, PostgreSQL, MongoDB, HTML5, CSS, C++ during my bachelor's. I have 2+ years of professional work experience which helped me strengthen my experience in Python, FastAPI, AI, GenAI, Flask, Django, Azure and PowerBI. I am passionate about developing complex applications that solve real-world problems impacting millions of users.

Languages: Python,SQL, HTML,CSS ,JavaScript, C, C++, Bash
Databases: MySQL, PostgreSQL, MongoDB
Libraries: NumPy, Pandas, OpenCV
Frameworks: Flask, Django, Node.js, Bootstrap
Tools & Technologies: Git, AWS,Microsoft Fabric, Azure DataFactory , Azure Databricks

Looking for a better opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Visionet

Software Engineer

Built two RAG-based AI Chatbots using Python, Flask, Azure AI Search, and OpenAI GPT-4 - one for Parkinson’s disease Q&A and another for HR policy inquiries- reducing manual query resolution time by 60%.
Preprocessed and chunked domain-specific documents, generated embeddings, and stored them in Azure AI Search Vector DB, enabling efficient similarity search during user interactions.
Designed efficient end-to-end retrieval pipelines and chunking logic, resulting in 85%+ response relevance in user testing and improving answer precision for domain-specific queries.
Led the seamless migration of PowerBI data sources from Azure to Azure Databricks, maintaining data integrity and ensuring uninterrupted reporting functionality.
Efficiently updated and optimized all data source connections, transitioning from Azure to Azure Databricks, resulting in improved data retrieval performance.
Implemented precise data filters and rectified visualization issues, addressing column name changes and data discrepancies, thereby restoring accurate and functional reports.
Ensured seamless integration and data continuity throughout the migration process, minimizing downtime and maintaining high data quality standards.
Led the migration of legacy datasets from SSIS to Azure Databricks and Apache Spark, enhancing data performance, scalability, and integrity for Visionet’s clients.
Developed and maintained ETL processes and implemented data workflows to ensure seamless data transfer and transformation across systems

Tools:

September 2023 - Present | Bangalore, India

Internship - Visionet

Data & AI Engineering Intern

Utilized Python to successfully clean and transform 500GB of raw data, reducing processing time by 30%.
Developed PySpark scripts for data transformation and machine learning, improving data processing speed by 20%; leveraged PySpark’s SQL module for optimized querying.
Built a web application for sentiment analysis of trending tweets about ChatGPT, using Python and PySpark to extract, clean, and analyze tweet data.
Integrated machine learning models and Power BI to provide real-time visualizations of tweet sentiments, offering valuable insights into ChatGPT trends
Collaborated on ETL tasks, ensuring data integrity and pipeline stability, and created interactive reports and dashboards using Power BI.
Tools: Python, Databricks, Streamlit, PySpark , NLTK , PowerBI , Machine Learning.

February 2023 - August 2023 | Bangalore, India

Projects

                
Music Player Web-App
                  A music streaming web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3.
Register/login to the web app(with OAuth-based Google Sign-In).
Search and filter songs based on language and singer.
Create multiple playlists and add/remove songs to/from playlist.
Scroll through recently played/viewed songs.

Quiz Web-App
                  A quiz playing web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite.
Register/login to the web app(with OAuth-based Google Sign-In).
Play Quiz and see the leaderboard

DevBlog - A  Blog Website
                  A simple and extensible blog web-app based on Django.
                
AccomplishmentsTools: HTML, CSS,JS, Bootstrap, Django,  SQLite, Python.
Users can login or signup to access the Blogsite where we can view posts ,comment .Users can also contact the Developer via Contact Page.
Authorized users can Add, Delete, Update their posts.

Flipkart Clone
                  An e-commerce web application built using the MERN stack (MongoDB, Express, React, Node.js) 
                
AccomplishmentsAn e-commerce web application with admin and user roles, enabling users to browse and purchase products, manage their accounts, and make secure payments.
The admin can manage products, categories, and orders, providing a comprehensive shopping experience.