Lakshmi Ramesh Email and Phone Number
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Lakshmi Ramesh personal email
Lakshmi is an ML Engineer with 2.5+ years of industry and research experience in deep learning, computer vision, and generative AI. Throughout her professional career and graduate academic pursuits, she has undertaken enterprise and research projects in the industries of Healthcare, Automotive, E-commerce and Academia. This has developed her interdisciplinary expertise in the ML tech stack and model development for cloud and edge devices. Some of her key achievements in this domain are as follows:• She successfully defended her Master’s thesis culminating in 2 publications in the domain of biomedical imaging and 3D computer vision. Through her research, she has established performance improvements over 2 former SOTA methods.• Proven track record of applying current research ideas such as GenAI & LLMs to multi-disciplinary applications with a prime focus on improving KPIs and demonstrating notable business impact.Currently she is seeking ML roles that encompass architecting ML models and deploying AI-driven solutions. For additional information on her background and technical work, please visit her website at: https://rlakshmi.netlify.app/. Please feel free to message her for potential career opportunities!
Nvidia
View- Website:
- nvidia.com
- Employees:
- 41500
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Systems Software Engineering, Machine Learning And AiNvidiaSanta Clara, Ca, Us
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Systems Software Engineering, Machine Learning & AiNvidia Feb 2024 - PresentUnited States
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Software Systems EngineerCummins Inc. Aug 2023 - Feb 2024Indiana, United States -
Research Assistant In Deep Learning And 3D Computer Vision (Cv)Purdue University Sep 2021 - Aug 2023United States• Devised a multimodal strategy with 4 types of MRI scans for 3D segmentation of 3 brain tumor classes• Utilized feature fusion to select 2 modalities that reduced training time by 60% and model size by 40%• Developed shifted-window cross-attention in PyTorch to attain 91% dice score for a transformer model• Designed a self-supervised ML pretraining strategy for 3D images using reconstruction and contrastive loss• Integrated the pretrained backbone in downstream segmentation to increase the dice score to 79% -
Graduate Teaching Assistant - Pattern RecognitionPurdue University Jan 2023 - May 2023Indianapolis, Indiana, United StatesAssisting Qingxue Zhang in grading weekly assignments, projects and quizzes. Conducting weekly lectures and monitoring the class attendance for ECE 66200 - Pattern Recognition
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Graduate Teaching Assistant - Neural NetworksPurdue University Aug 2022 - Dec 2022Indianapolis, Indiana, United StatesAssisted Professor Qingxue Zhang in grading weekly quizzes, projects and exams. Additionally conducted classes weekly and monitored class attendance for ECE 62900 - Neural Networks
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Software DeveloperCummins Inc. May 2022 - Aug 2022Columbus, Indiana, United StatesCummins Inc., a global power leader, is a corporation of complementary business segments that design, manufacture, distribute and service a broad portfolio of power solutions.● Used NI controller with integrated FPGA to improve the design of ULD for ECU verification in LabView● Impact: Reduced human intervention by 70% and improved fault detection using the automated system● Evaluated the results of 20 simulations and documented a 4-month software proposal for a team of 8
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Controls & Machine Learning (Ml)Kpit Jan 2020 - Jan 2021Pune, Maharashtra, IndiaKPIT Technologies is a global partner to the automotive and mobility ecosystem for making software-defined vehicles a reality• Collaborated with the ADAS team to simulate and control various automotive sub-systems using AI• Employed YOLOv4 and Mosaic augmentation for multi-scale detection of pedestrians and crosswalks• Developed a MATLAB script that performs adaptive histogram equalization to boost the recall by 23%• Simulated automotive sub-systems using SIMULINK that leveraged CNN-guided control functions -
Machine Learning (Ml) EngineerTata Consultancy Services Sep 2020 - Dec 2020Pune, Maharashtra, India• Pioneered an NLP pipeline to perform emotion recognition in long paragraphs of customer reviews• Coproduced a Multi-task learning model that simultaneously classifies the arousal and valence classes• Conducted experiments using CNN, LSTM and transformer architectures in TensorFlow and PyTorch• Achieved an F-1 score of 77% by training an ensemble model composed of SVM, Naïve Bayes and BERT
Lakshmi Ramesh Skills
Frequently Asked Questions about Lakshmi Ramesh
What company does Lakshmi Ramesh work for?
Lakshmi Ramesh works for Nvidia
What is Lakshmi Ramesh's role at the current company?
Lakshmi Ramesh's current role is Systems Software Engineering, Machine Learning and AI.
What is Lakshmi Ramesh's email address?
Lakshmi Ramesh's email address is lr****@****due.edu
What skills is Lakshmi Ramesh known for?
Lakshmi Ramesh has skills like Embedded Software, Neural Networks, Research And Development, Scikit Learn, Pandas, Arduino, Algorithms, Matlab, Keras, Tensorflow, Atmega, Deep Learning.
Who are Lakshmi Ramesh's colleagues?
Lakshmi Ramesh's colleagues are Shely Rose Benbenishti, Sarah D., Imad Aljundi, Bradley Newell, Amy Hermalik, Sagar Garg, Vatsal Parekh.
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Lakshmi Ramesh
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