Hi, I'm Vittal Badami

Software Engineer | CAE Domain

Full Stack Developer at Bosch specializing in CAE applications with expertise in AI/ML, LLMs, and enterprise solutions. Passionate about building intelligent systems and scalable software solutions that solve real-world engineering problems.

Get In Touch View Projects
Vittal Badami
3+
Years

About Me

I'm a Software Engineer in the CAE domain at Bosch, working on CAE applications (ITE) with a focus on UI-driven prototyping and system integration. I have strong foundations in C, C++, Java, and Python, with hands-on experience in AI/ML, PyTorch/TensorFlow based model training and deployment, Generative AI, and Large Language Models (LLMs).

Experienced in building and integrating enterprise applications using Angular, Django, Flask, Spring Boot, and managing data with MongoDB, SQL, and PostgreSQL. I'm actively exploring AI-driven systems and scalable software solutions, with a strong interest in applying machine learning to real-world engineering problems.

Education: Bachelor of Engineering in Computer Science from KLE Technological University, Hubballi (2019-2023) with a CGPA of 9.41.

0

Years Experience

0

Projects Completed

0

Certifications

0

Awards at Bosch

Professional Experience

Full Stack Developer | AIML Developers

Bosch

2.5 Years | Aug 2023 - Present

  • Driving development of CAE-based enterprise application ITE – Simulation Tool as a full stack developer, significantly accelerating development and cutting down go-to-market time
  • Led UI/UX design and rapid prototyping using Figma, saving two workforce tasks and improving user experience
  • Contributed to internal Angular library cae-ngx (npm), enhancing reusability and code consistency across modules
  • Spearheaded AI/ML chatbot development for manufacturing database with end-to-end implementation, achieving low latency and high accuracy SQL DB Agent connecting with Databricks
  • Implemented various internal tools using LLMs for Artifactory management using MCP servers
  • Built and maintained web applications, owned feature implementation for Digital Conclusion, Gsheet integration, and Footnotes Manager
  • Actively involved in CI/CD pipeline activities on OCP platforms
  • 6x Awardee for high-impact delivery at Bosch
Java Spring Boot Angular Python LLMs GenAI Databricks React Figma CI/CD OCP

AI/ML Intern - Computer Vision

DocketRun Tech

6+ Months | Jan 2023 - Aug 2023

  • Worked on Video Analytical solutions and implemented Object Detection Model using YOLOV5 Framework
  • Developed ANPR (Automatic Number Plate Recognition System) achieving over 95% accuracy for both two and four-wheeler vehicles
  • Utilized advanced OCR (Optical Character Recognition) techniques to extract text from number plates
  • Gained hands-on experience in real-time video processing and model deployment
  • Certified AI Engineer and Certified DevOps Professional at DocketRun
Python YOLOV5 Computer Vision OCR PyTorch OpenCV

Technical Skills

Programming Languages

Python Java C++ C JavaScript TypeScript HTML CSS

Frontend Development

Angular React.js Bootstrap Figma UI/UX Design Responsive Design

Backend Development

Spring Boot Django Flask RESTful APIs Microservices

Databases

MongoDB SQL PostgreSQL SQLite Databricks

AI/ML & Data Science

PyTorch TensorFlow LLMs Generative AI LangChain LangGraph RAG Computer Vision OpenCV YOLO Jupyter

Cloud & DevOps

Azure Cloud CI/CD OCP Git VS Code Linux (Ubuntu) Windows

Featured Projects

AI Chatbot for Manufacturing Database

End-to-end chatbot implementation with low latency and high accuracy SQL DB Agent. Integrated with Databricks, ingested data into SQLite in-memory DB, and developed engaging UI using React. Improved overall user experience significantly.

Python LLMs Databricks React SQLite LangChain
Bosch Internal

Automatic Number Plate Recognition System (ANPR)

Implemented object detection model for tracking number plates using YOLOV5 Framework. Utilized advanced OCR techniques to extract text with over 95% accuracy for both two and four-wheeler vehicles.

Python YOLOV5 Computer Vision OCR PyTorch
GitHub

Smart Recommendation System for Groundnut Disease Detection

KSCST-funded research project for identifying late leaf spot and rust disease. Achieved 99% accuracy in image classification and 95% accuracy in fertilizer recommendations. Collaborated with UAS Dharwad to improve agricultural outcomes.

PyTorch TensorFlow Flask Python Computer Vision
GitHub

ITE CAE Application - Feature Development

Built and maintained enterprise web application for CAE simulations. Owned feature implementation for Digital Conclusion, Google Sheets integration, and Footnotes Manager. Contributed to Angular library cae-ngx for internal projects.

Angular Spring Boot TypeScript Java Bootstrap
Bosch Internal

LLM-based Tools for Artifactory Management

Implemented various internal tools using Large Language Models and MCP servers for Artifactory management. Streamlined internal workflows and improved development efficiency.

Python LLMs MCP Servers GenAI
Bosch Internal

Linker Loader Implementation

Implemented the Linking Loader algorithm in C++ demonstrating how linking and loading processes are carried out in operating systems. Combines and resolves external references between modules to produce executable programs.

C++ OS Concepts System Programming
GitHub

Get In Touch

Let's Connect

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

Email

vittal.badami@example.com

LinkedIn

vittal-badami

GitHub

vittalab

Location

India