Ridhima Garg
Bis 2024, Large Language Models Intern, IAV
Erlangen, Deutschland
Über mich
Hey! I'm Ridhima, thanks for taking out time and checking my profile. It's tiresome and a bit complicated, isn't it? 😞 Yeah I understand that building SOTA model in Machine learning is a bit complicated It's majorly - data, and data preprocessing. Not to worry I can make a recipe out of raw data through data analysis, and perform feature engineering to build a model which can learn with the featured data 📈 Now Let's see, what can I do for you? 👉 Portray raw data into useful data through Data Analysis 👉 Build an end-to-end machine learning/deep learning pipeline for your problem. 👉 Productionize built pipeline by deploying using Flask, Cloud Platform(GCP, AWS) All in all, I love the roller-coaster ride of Building Machine Learning Solutions for real-life problems by swinging over highs and lows of algorithms. Technical Skills -: Python Machine Learning Deep Learning Libraries for Machine learning Numpy, Pandas, Tensorflow, Keras) Deployment: AWS, GCP
Werdegang
Berufserfahrung von Ridhima Garg
* Working with Language Models to build custom LLM framework. * Automatic Prompt Engineering for InstructGPT. *LangChain, OpenAI
8 Monate, Apr. 2023 - Nov. 2023
Master Thesis Student
ITK Engineering GmbH
* Secure AI: Defense Techniques for Model Extraction Attacks on Deep Learning Model * ML Robustness
* pylibCZIrw library which deals with CZI (Carl Zeiss Image) format for microscopic data. * ApeerML: RCNN-based image analysis and instance segmentation * Deployed and monitored machine learning models on AzureML using Kubernetes
6 Monate, Mai 2021 - Okt. 2021
Machine Learning Engineer
Quantiphi Analytics
* Insurance Claims Process Automation: Document classification using CNN based deep neural network folder by object detection. * Implemented Tesseract OCR for text detection from images.
2 Jahre und 1 Monat, Apr. 2019 - Apr. 2021
Data Scientist
SpectralTech.ai
Ausbildung von Ridhima Garg
Bis heute 2 Jahre und 9 Monate, seit Okt. 2021
Master of Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg
Major Courses *Deep Learning *Mathematics of Learning *Machine Learning *Advanced deep learning *Business Intelligence *Machine Learning for Time Series *Pattern Analysis *Pattern Recognition *Explainable Machine Learning Minor Project *Ai-based analysis of continuous production line sensor data. *Denoising Diffusion model on X-ray dataset.
4 Jahre und 2 Monate, Juli 2014 - Aug. 2018
Bachelor of Computer Science
Dr. APJ Abdul Kalam Technical University
Sprachen
english
Muttersprache
german
Grundlagen
hindi
Muttersprache