Pankhuri Verma Email and Phone Number
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I am Computer Science Master’s graduate with over three years of industry experience in developing software and AI solutions. I possess expertise in Machine Learning, Deep Learning, and Computer Vision, with a strong background in data structures and algorithms. I have a proven ability to contribute to the development of innovative AI solutions in the automotive industry and beyond.During my master's studies, I worked as a Machine Learning Engineer (Werkstudent) at Ferdinand Steinbeis Institute developing projects for the automotive industry. I was involved in developing a computer vision segmentation model for 'Smart Car Wipers' using a two-stage Convolutional Neural Network (CNN) - MobilenetV2-Unet model. This project, aimed at enhancing automated driving, involved data transformation and augmentation of images from camera sensors using Azure cloud services. Additionally, I have experience in developing recommendation systems using NLP technologies. I have also engineered fine-tuned GenerativeAI models for Vehicle Signal Specification (VSS) to improve the understanding of VSS signal usability. My master's thesis focused on the precise estimation of CO2 emissions for AI applications, where I investigated the impact of hyperparameter optimization on energy efficiency.Prior to my master's degree, I gained substantial industry experience at Tata Consultancy Services as a System Engineer. During my tenure, I worked as a Full Stack Developer, where I enhanced an ERP system by developing onboarding digitization modules that reduced HR manual work by 80% using Agile methodology. I also developed comprehensive analytics solutions and managed the data lifecycle and dashboarding of HR data.My technical skills include Python, SQL, TensorFlow, PyTorch, OpenCV, AWS EC2, Kubernetes, Docker, and Azure ML, among others. I am proficient in English (C1 level) and have a working knowledge of German (B1 level), with a commitment to achieving fluency. I am passionate about leveraging AI to drive innovation and am always eager to learn and grow in this ever-evolving field.
Ferdinand-Steinbeis-Institut
View- Website:
- ferdinand-steinbeis-institut.de
- Employees:
- 17
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Phd ResearcherFerdinand-Steinbeis-Institut Oct 2024 - PresentHeilbronn, Baden-Württemberg, Germany
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WerkstudentFerdinand-Steinbeis-Institut Jun 2022 - Oct 2024Stuttgart, Baden-Württemberg, Germany1. Developed segmentation model for 'Smart Car Wipers' in partnership with Bosch. Data cleaning, augmentation, augmentation, and transformation of image dataset and trained on a two-stage Convolutional Neural Network (CNN) - MobilenetV2-Unet model for rain prediction, achieving 95% accuracy. The model was deployed on Rasberry Pi, Jetson nano, and Jetson orion for in-vehicle testing.2. Created a 'Smart Business Recommendation System' with Long Short-Term Memory (LSTM) model… Show more 1. Developed segmentation model for 'Smart Car Wipers' in partnership with Bosch. Data cleaning, augmentation, augmentation, and transformation of image dataset and trained on a two-stage Convolutional Neural Network (CNN) - MobilenetV2-Unet model for rain prediction, achieving 95% accuracy. The model was deployed on Rasberry Pi, Jetson nano, and Jetson orion for in-vehicle testing.2. Created a 'Smart Business Recommendation System' with Long Short-Term Memory (LSTM) model, achieving 90% accuracy. Utilised WordtoVec model for feature extraction. A user-friendly web application was developed using Python Flask, and Neo4j Graph database.3. Engineered a fine-tuned ChatGPT application for Vehicle Signal Specification (VSS) using the 'Davinci' Large Language Model (LLM), aiding car manufacturers in understanding VSS signals and their usability.4. Developed a Natural Language Processing (NLP) based text multi-classification model to map member capabilities description to activities for a church project using LSTM and Bidirectional Encoder Representations from Transformers (BERT) resulting in 90% and 94% accuracy respectively. Show less
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Master Thesis Student - Precise Estimation Of Co2 Emission For Ml ApplicationsUniversity Of Stuttgart Dec 2023 - May 2024Stuttgart, Baden-Württemberg, GermanyEstimated energy consumption and carbon emissions of ML models using Linux-based hardwareperformance counters. Investigated the impact of hyperparameter optimization on energy efficiency and developed energy models for CPU for the sustainability of AI applications. -
System EngineerTata Consultancy Services Nov 2020 - Sep 2021Mumbai, Maharashtra, India1. As a Full Stack Developer, enhanced an ERP system by developing onboarding digitization modules via Agile methodology, thereby reducing HR manual work by 80%.2. Developed comprehensive analytics solutions and managed data lifecycle and dashboarding of HR data. -
Assistant System EngineerTata Consultancy Services Nov 2019 - Nov 2020Mumbai, Maharashtra, India
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Assistant System Engineer-TraineeTata Consultancy Services Nov 2018 - Nov 2019Mumbai, Maharashtra, India
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InternKge Technologies Pvt Ltd Jun 2017 - Jul 2017Chennai Area, IndiaDeveloped ‘Restaurant Recommendation System’ based on ratings, online ordering, location, and cuisine using Linear, Decision Tree, Random Forest, and Extra Tree Regression models, achieving 27%, 85%, 87%, and 94% accuracy, respectively. -
InternWipro Jun 2016 - Jul 2016Bengaluru Area, IndiaDeveloped an ERP system for a Wipro client. The application dealt with inventory management.
Pankhuri Verma Education Details
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Computer Science
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Computer Software Engineering
Frequently Asked Questions about Pankhuri Verma
What company does Pankhuri Verma work for?
Pankhuri Verma works for Ferdinand-Steinbeis-Institut
What is Pankhuri Verma's role at the current company?
Pankhuri Verma's current role is PhD Researcher @ Ferdinand Steinbeis Institute | MSc. CS @ University of Stuttgart | SRM University.
What is Pankhuri Verma's email address?
Pankhuri Verma's email address is pa****@****itut.de
What schools did Pankhuri Verma attend?
Pankhuri Verma attended University Of Stuttgart, Srm Institute Of Science And Technology (Srmist).
Who are Pankhuri Verma's colleagues?
Pankhuri Verma's colleagues are Dominik Morár, Simon Hiller, David Rygl, Eva Deuchert, Karoline Frank, Johannes Weinreuter, Alexander Neff.
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