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Santa Clara, California, United States
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3K followers
500+ connections
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About
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Excited to unveil NVIDIA’s latest work on #Reasoning Vision–Language–Action (#VLA) models — Alpamayo-R1! Alpamayo-R1 is a new #reasoning VLA…
Excited to unveil NVIDIA’s latest work on #Reasoning Vision–Language–Action (#VLA) models — Alpamayo-R1! Alpamayo-R1 is a new #reasoning VLA…
Liked by Subhashree Radhakrishnan
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The rising tech mafia isn’t ex-PayPal, it’s ex-NVIDIA 🤔 If you’ve learned to operate at the intensity of Team Green i.e to build in ambiguity, move…
The rising tech mafia isn’t ex-PayPal, it’s ex-NVIDIA 🤔 If you’ve learned to operate at the intensity of Team Green i.e to build in ambiguity, move…
Liked by Subhashree Radhakrishnan
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Our paper “Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation” will be presented at ICCV 2025!…
Our paper “Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation” will be presented at ICCV 2025!…
Liked by Subhashree Radhakrishnan
Experience & Education
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NVIDIA
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View Subhashree’s full experience
See their title, tenure and more.
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Licenses & Certifications
Volunteer Experience
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ED-Support Volunteer
Make A Difference
- 2 years 4 months
Education
Provided educational assistance to Institutionalized children weekly once
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Mentor
AI4ALL
- Present 4 years 8 months
Education
Changemakers in AI : Mentoring high school students working on impactful AI projects
Publications
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Speech Emotion Recognition: Performance Analysis based on Fused Algorithms and GMM Modelling
Indian Journal Of Science and Technology
See publicationAn improved speech emotion recognition rate was achieved using a hybrid algorithm of MFCC,LFC,LPC,LPCC and OSALPC.
Patents
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Associating Bags to Owners using Machine Learning
Issued US PCT/US2019/060467
Courses
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Advanced Computer Vision
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Advanced Machine Learning
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Advanced Microcontrollers
371
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Artificial Intelligence
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Calculus, Matrix Algebra and Ordinary Differential Equations
111
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Computer Programming
100
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Computer Vision
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Deep Learning
CS5984
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Digital Signal Processing
221
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Digital Systems
210
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Electrical Measurements and Instrumentation
213
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Embedded Systems Design
471
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Engineering Drawing
181
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Introduction to Microcontrollers and Applications
310
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Mathematical Statistics and Numerical Methods
212
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Measurements and Analog Circuit Lab
392
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Signals and Systems
220
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Stochastic Signals and Systems
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Projects
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Performance Analysis of Different Techniques for Fight Detection in Videos
Different Feature Extraction Methods and Classification Methods were implemented and their performances were compared:
1.STIP Feature Extraction with SVM Classifier
2.Augmented Affine Trajecton with SVM Classifier
3.CNN Classifier
4.CNN feature extraction with SVM, KNN, and Decision Tree ClassifiersOther creatorsSee project -
Object Localization in Images Using Referral Expressions
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See project1. I had implemented a multi-modal embedding using Multi Layer Perceptron to map corresponding location and referral expressions. The bounding box was obtained using SSD during testing phase.
2. Different text feature extraction methods such as skip-thought, GLOVE and word2vec was experimented and compared.
3. Losses such as contrastive loss, L2 loss. The highest recall was obtained for skip-thought and order embedding. -
Semi-Supervised Domain Adaptation Using CycleGAN [PyTorch]
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See project- Proposed New architecture for Domain adaptation for the task of semantic segmentation.
- The proposed architecture used combined Cyclic GAN and FCN where cyclic GAN was a better regularizer than Domain Adversarial Training and was designed to perfrom domain adaptation between source target and partially labeled target domain.
- The entire implementation was done in PyTorch. -
Advanced Computer Vision - Course [Matlab]
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See project
1. EdgeDetection_HybridImgs-This project involves forming Hybrid Images and the implementation of Canny Edge Detection without inbuilt function.
2. EpiPolarGeometry_Metrology_StructureFromMotion- This project is about finding the height of building from single view metrology, Predicting the motion of keypoints using optical flow
3.DescrptorMatching_KeyPointTracking_objectInstanceRecognition- This project involves keypoint tracking, Shape alignment of one with another given two images…
1. EdgeDetection_HybridImgs-This project involves forming Hybrid Images and the implementation of Canny Edge Detection without inbuilt function.
2. EpiPolarGeometry_Metrology_StructureFromMotion- This project is about finding the height of building from single view metrology, Predicting the motion of keypoints using optical flow
3.DescrptorMatching_KeyPointTracking_objectInstanceRecognition- This project involves keypoint tracking, Shape alignment of one with another given two images and object instance recognition
4.SLIC_GraphCutSegmentation_EMAlgorithm- This project involves implementation of SLIC and Grab Cut algorithms for segmentation and implementing EM algorithm for finding mean scores of annotated images.
5.SceneCategoryRecognition_BagOfWords_differentClassifiers- This project involves outdoor category classification using Bag of Word Model and SVM, KNN classifiers.
Honors & Awards
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Summer Research Fellowship
Indian Academy of Sciences
Was one of the 80 fellows selected out of 2000 candidates across India.
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Amrita Best Public Speaker Award
Centre for Corporate and Industry Relations (CIR), Amrita Vishwa Vidyapeetham
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Outstanding Student Award 2014-2015
IEEE-IAS
Awarded to one student every year based on his/her excellence in Academics and Extra-curriculars
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Academic Proficiency Award
Amrita Vishwa Vidya Peetham
2013-2015
Awarded for topping the department based on Academic credentials.
Languages
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English
Full professional proficiency
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Tamil
Native or bilingual proficiency
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German
Limited working proficiency
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Hindi
Professional working proficiency
Organizations
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IEEE Industrial Applications Society
Student Member
- Present
More activity by Subhashree
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🚀 Honored to see our work featured at Jensen Huang’s keynote at #NVIDIA #GTCDC2025! In the demo, vision AI agents built on #NVIDIA #Metropolis and…
🚀 Honored to see our work featured at Jensen Huang’s keynote at #NVIDIA #GTCDC2025! In the demo, vision AI agents built on #NVIDIA #Metropolis and…
Liked by Subhashree Radhakrishnan
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✨ We’re hiring interns at NVIDIA Research! (nv-dler.github.io) Our team works on small language models, efficient agentic systems, new model…
✨ We’re hiring interns at NVIDIA Research! (nv-dler.github.io) Our team works on small language models, efficient agentic systems, new model…
Liked by Subhashree Radhakrishnan
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If you were recently affected by layoffs, NVIDIA might be your next stop :) Details 👇
If you were recently affected by layoffs, NVIDIA might be your next stop :) Details 👇
Liked by Subhashree Radhakrishnan
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🚀 We just released a deep dive and practical guide on using on-policy knowledge distillation (KD) in NeMo RL to improve your models — a powerful…
🚀 We just released a deep dive and practical guide on using on-policy knowledge distillation (KD) in NeMo RL to improve your models — a powerful…
Liked by Subhashree Radhakrishnan
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Thank you to the award committee and the broader vision community for the recognition. After all these (21!) years and so many conferences across…
Thank you to the award committee and the broader vision community for the recognition. After all these (21!) years and so many conferences across…
Liked by Subhashree Radhakrishnan
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Announcing my new course: Agentic AI! Building AI agents is one of the most in-demand skills in the job market. This course, available now at…
Announcing my new course: Agentic AI! Building AI agents is one of the most in-demand skills in the job market. This course, available now at…
Liked by Subhashree Radhakrishnan
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VQA challenge series won the Mark Everingham prize at ICCV'25 for stimulating a new strand of vision-and-language research. It's extra special…
VQA challenge series won the Mark Everingham prize at ICCV'25 for stimulating a new strand of vision-and-language research. It's extra special…
Liked by Subhashree Radhakrishnan
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🚗 Build the Thinking Car. Join Us at NVIDIA. If you’re at ICCV this year and excited about bringing LLMs, VLMs, and VLAs into the real world, come…
🚗 Build the Thinking Car. Join Us at NVIDIA. If you’re at ICCV this year and excited about bringing LLMs, VLMs, and VLAs into the real world, come…
Liked by Subhashree Radhakrishnan
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Come join NVIDIA to enable the greatest scaling law for robotics!!
Come join NVIDIA to enable the greatest scaling law for robotics!!
Liked by Subhashree Radhakrishnan
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Check out RLP -- our reinforcement learning based pretraining method for reasoning LLMs. RLP improves over the base models by large margins!
Check out RLP -- our reinforcement learning based pretraining method for reasoning LLMs. RLP improves over the base models by large margins!
Liked by Subhashree Radhakrishnan
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Excited to be recognized on the Nation Makers list by the Maclean’s Magazine! 😊
Excited to be recognized on the Nation Makers list by the Maclean’s Magazine! 😊
Liked by Subhashree Radhakrishnan
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I never thought I would leave NVIDIA. This company gave me more than a career. It gave me friends who feel like family. It gave me mentors who…
I never thought I would leave NVIDIA. This company gave me more than a career. It gave me friends who feel like family. It gave me mentors who…
Liked by Subhashree Radhakrishnan
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Excited to see Qwen3-Next pushing the frontier of long-context AI with innovations like hybrid attention. Even more thrilling – it builds on Gated…
Excited to see Qwen3-Next pushing the frontier of long-context AI with innovations like hybrid attention. Even more thrilling – it builds on Gated…
Liked by Subhashree Radhakrishnan
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