Shobhit Chourasiya

- Responsible for the development of a comprehensive suite of tools and libraries in Python for testing and validating outputs from Large Language Models (LLMs) designed for LLM and RAG use cases. -Technical Lead responsible for the continuous development, maintenance, integration and exploration of new ideas in the creation of governance dashboards using Tableau to track quality across different modules in the Electrical/Electronic Architecture process.

Wrote Master Thesis in Smart Production Lab on sequence optimization in Paint Shop in Wolfsburg Plant • Researched various simulation models with Reinforcement Learning and Metaheuristics. • Developed multiple algorithms using deep reinforcement learning and analyzed them with different policies. • Applied Mathematical optimization with Gurobi

Worked on Predictive maintenance to estimate Remaining Useful Life (RUL) of manufacturing component called Klebstoff, by applying linear and exponential models on data. The tasks included: • Applied principle component analysis on data, and experimented with them to estimate RUL of machine. • Worked on modelling Wiener process, Linear and Exponential, to forecast life cycle, using Monte Carlo Simulation. • Worked with PyMC3 to incorporate Bayesian update of estimates for Exponential Brownian motion

Worked on applying Data Mining on Airbag Calibration data, so that Airbag ECU parameters could be predicted and automated in future. The tasks included: • Identifying potential Data sources, including raw data files and databases. • Collecting, filtering, preprocessing data • Applied unsupervised and supervised models to cluster and predict parameter values • Developed tool with Tkinter to filter and export predicted results

Worked as full stack developer with clients in Financial Services, Travel Services and Healthcare domain, responsible for maintaining and developing windows & web applications with databases using C#, Javascript, ASP .NET, MVC, SQL • Responsible for handling change requests • Automated application deployment with Octopus • Led the offshore application development team from client site • Worked with Agile methodology using Jira, Kanban board • Experience with Data Center migration and support activities

Machine Learning, Data Mining, Swarm Intelligence, Information Retrieval, Frequent Pattern Mining, Advanced Database models