Ganesh Kumar Nagal
M.Tech \'25 | IIT Jodhpur (AMD) | Aspiring Data Scientist | AI & ML Enthusiast
- Role
- Ai Engineer at Prospire Technology Services Pvt Ltd
- Location
- Jodhpur, RJ, IN
- LinkedIn followers
- 500 followers
About Ganesh Kumar Nagal
I’m an engineer with a strong foundation in Advanced Manufacturing and Design (M.Tech, IIT Jodhpur), passionate about connecting mechanical systems, digital simulation, and AI-driven intelligence.During my M.Tech, I worked on the dynamic modeling and simulation of an aircraft landing gear system using MATLAB, Simulink, and Simscape, analyzing vibration behavior, optimizing damper parameters, and improving system stability. This experience deepened my understanding of multibody dynamics, control systems, and computational simulation.My coursework included Smart Manufacturing, Robotics, Neural Networks, and Industry 4.0, where I explored digital twins, IoT-based feedback systems, and agile manufacturing frameworks. I also gained familiarity with sensors, actuators, and automation system integration, bridging physical processes with intelligent software.At a personal level, I’ve developed projects in AI and machine learning, building data pipelines, NLP applications, and predictive models using Python, Scikit-learn, TensorFlow, and PyTorch. I’ve also worked with FastAPI, Docker, and Snowflake for deploying and managing ML pipelines.To strengthen my understanding of cloud and AI systems, I completed MOOCs in AWS Cloud Foundations and Generative AI, focusing on LLMs, RAG pipelines, and vector databases.I’m particularly interested in applying AI for industrial intelligence, automation, and simulation-driven optimization, combining engineering insight with modern AI to build systems that are smarter, adaptive, and efficient.
Experience
Ai Engineer
Prospire Technology Services Pvt Ltd
Nov 2025 — Present · Jodhpur, IN
Education
Indian Institute of Technology Jodhpur
Master of Technology - MTech
2023 — 2025
M.B.M. Engineering College, Jodhpur
BE
2018 — 2022
Data Trained Education
PG in Data Science, Machine learning and Nueral network
2022 — 2023
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