Sherwin Rajkumar

IT Consultant - AI and Cloud Computing

• Development of time series forecasting models for license analytics in CAE.
• Developing Retrieval Augmented Generation chains (Document chatbot) - Based on open source LLMs such as Llama2 and Mistral AI.
• Big data analysis with Apache Spark, Elasticsearch/Opensearch and Splunk.
• Conducting internal training sessions on the topic Machine Learning.

Masterand - Machine Learning/Data Analytics - Brake development

• Data driven design of automotive disk brakes using ensemble machine learning models (Random Forests).
• Feature Engineering / Explaratory Data Analysis (EDA) with Python-Matplotlib and Seaborn.
• Implementation of the data-driven model in a python based app.

Werkstudent - CAE and Vehicle safety - Head Impact/Crash

• Head impact analysis for a bicycle helmet according to norms EN 1078 und EN 960.
• FE-Explicit Dynamic modelling of the body-in-white (BiW) for crash simulations (Solver : LS-DYNA - Preprocessor : ANSA.)

Praktikant - CAE and Vehicle safety - Python Programming

• End to End development of a python script to automate the creation of tickets in JIRA with data received from the customer.
• Automation of frequently used ANSA-routines during BiW prepreocessing.

Wissenschaftliche Hilfskraft (HiWi) - AI - Reinforcement Learning

• Complete development of a Deep-Q-learning model to optimize a contour in order to homogenize the contact pressure resulting from a press-fit of a shaft-hub joint according to norm DIN 7190.
• Validation using iterative optimization based on material properties.
• Creation of a dataset with the parameters for optimal contours and thereby prediction of contour profiles when these parameters are given as inputs.

Universität Stuttgart

Grade : 1,9

Anna University

Grade : 1,7