Anoushkrit Goel

#NeverGiveUp

Entrepreneur. Researcher. Data Scientist. Artist

Biomedical AI. Innovations & Ideas. Behavioural Psychology. Pragmatic Leadership. Sustainable Growth. Startups. Artificial Learning Paradigms. Philosophy of Life

My goal is to maximize human potential, to achieve this I focus on solving Healthcare problems

Currently I am pursuing my Masters (by Research), at IIT Mandi in Intelligent Systems where I am guided by Dr. Arnav Bhavsar and Dr. Aditya Nigam

Research

My research work lies in segmenting spatially similar 3D data (point clouds), where our 3D data are streamlines of points floating in 3D space in the case of White Matter Tracts of Neuroimaging (details on of the most cited papers in this field, TractSeg)

Currently, I am working in the field of Neuroimaging, where our main focus is to construct fibre streamlines and segment fibre bundles. Further in our group, it expands to denoising the dMRI (diffusion MRI) signal and reconstructing the dMRI data.

Startup

Besides working on my startup, Tensr.AI, I like to work on real world problems which have the potential to make impact.

I work on problems in Deep Learning, Deep Reinforcement Learning, Machine Learning, Design, Bio-Medical Sciences, and Entrepreneurship. Having started an startup, I have worked on the problems which the startups face in early stage.

Industry

Having a diverse experience of 6+ years of total job + startup + research experience, where my past role was Lead Data Scientist at Jio (working directly with Shailesh Kumar on Jio's TelOS ( previously BrainOS) , and before that I have been Data Scientist in various companies and startups. I also founded my own startup, Tensr.AI in Medical AI Assistants which saw good growth in 2020 and 2021 till COVID induced cash crunch stopped us from pursuing.. Later I continued research in Neuroimaging where my objective has been to map the brain's white matter which can assist clinicians to plan surgery.

I graduated from Shiv Nadar University with B. Tech in Electronics and Communication Engineering. In my free time, I like to engage in various physical activities.

🚀 News

(2019 - Present)

6+ years total experience with 4+ years of professional data science, entrepreneurial experience and 2+ years of research experience.

🔍 [Jan 2025] Accepted conference paper at 27th ISBI (International Symposium on Biomedical Imaging) TractoGPT: A GPT architecture for White Matter Segmentation [arxiv] [github]
🔍 [Jul 2024] Accepted conference paper at 27th ICPR (International Conference on Pattern Recognition) TractoEmbed: A modular multi-embedding framework for White Matter Segmentation [arxiv] [github]
🔍 [May 2024] Accepted conference paper at 27th ICPR (International Conference on Pattern Recognition) Tract-RLformer: A Tract-specific RL poilicy based Decoder-only Transformer Network [arxiv]
[Feb 2024] Finished course work with a 9.47 CGPA, among highest in class.
[Feb 2023] Started my Masters at Indian Institute of Technology Mandi in Intelligent Systems
[Oct 2022] Promoted to Team Lead, aka Lead Data Scientist, where I was tasked to make protobufs and design schemas for aligning different deep learning and machine learning architectures, mainly pytorch, tensorflow, scikit-learn etc.. This project's vision was to develop TelOS, language and framework agnostic deep learning library/ software.
[August 2022] Started at Jio as a Senior Data Scientist working on making universal Machine Learning and Deep Learning framework
[Jun 2022] Deployed "vision", a depositing user's clickstream trajectory prediction model using Markovian Transition Matrices for large clickstream data for Gamezop.
[Jun 2021] Started working as a Senior Data Scientist at Gamezop
[Oct 2020] Completion of GDC HTIC IITM Program, of Customer Discovery with 84 prospective-customer interviews and pivoted the startup idea
{Sep 2020] Prototyped my device to capture a novel cardiogram, which can capture mechanical vibration of the heart to assess for cardiac ailments.
[Sep 2019] Got 3rd among 279 startups at Himalayan Startup Trek 2019 held at IIT Mandi. India Today News Article
[Nov 2019] Deployed CADt-net: Breast Cancer Lesion Segmentation and Classification on Android Phones via TF lite, using U-Net ++ in Gudalaraja, Mexico
[June 2019] Completed my Undergrad from Shiv Nadar University, Major in Electronics and Communication Engineering and a Minor in Design
[Jan 2019] Started career as a Data Scientist, working on detection of Breast Cancer through Ultrasound Images, simulation of Vitrectomy on Unity, Table OCR from supermart bills

💻 Industrial Experience

(2019 - Present)

6+ years of professional data science, entrepreneurial and research experience

Lead Data Scientist (Aug 2022 - Mar 2023)

Telos: Jio's Ambitious AI MLOps system which integrates all of Jio Verticals, and becomes a combined interface which to work with all the verticals and different datatypes in the to add Programming Language Agnostic Models
- Here, under supervision of Dr. Shailesh Kumar I had worked on a sub-project Cortex, which is a programming language and deep learning frameworks agnostic Machine Learning Framework, where we have also added the same functionalities in Deep Learning using ONNX, using protocol buffers.
- Comprehensive Models and Domains Ontology for all the Jio Verticals

Data Scientist (Jun 2021 - Jun 2022)

Created a Sequential Decision Making Framework which can predict the Deposit Behaviour of a sign up user. We named this as Vision and this allows us to manuever resources towards a likely-depositing user.

This framework allows to know future steps in advance, the target event "click" can be any event and the model gives the probability score of occurrence of the event.
This framework is built on the juxtaposition of 2 models, one is a long-term markov model, and the other is a machine learning model taking user characteristics into consideration.

Research Associate (Oct 2021 - Present)

Working on Brain Tract Segmentation at MANAS Lab, IIT Mandi under the guidance of Dr. Aditya Nigam and Dr. Arnav Bhavsar and with Ranjeet Ranjhan Jha.

Also, peer-reviewed papers for different journals, and conferences (MICCAI, MIA, ISBI, ICCV)
Accepted paper in ICPR
Working on a Slicer Extension capable of running our models and algorithms Neuroimaging on Slicer, and on any device or server.

Analyst (Mar 2021 - May 2021)

Worked on Forecasting Sales Data for FedEx (Client) considering the impact of COVID) and landed FedEx as a long-term client with a 20 million dollar upcoming projects.

Implemented various Forecasting like SARIMAX, ARIMA, Prophet.
Incorporated various exogenous variables which might have an impact on the sales and have correlation with the abnormality added due to COVID.

NIDHI-EIR Fellow , SIIC IIT Kanpur (Feb 2021 - Feb 2022)

Worked on scaling up the product Teresa, by Tensr.AI.

Created the functional prototype of Teresa Band, which enables to capture multiple cardiac modalities for holistic heart health monitoring.

Pre-incubation, IIT Madras (Jan 2021 - Jan 2022)

Finished Customer Discovery Program by Gopalakrishnan Deshpande Foundation (GDC) in which we interviewed more than 75 people about the problems they face on a day to day basis in terms of their health.
Mentored by Harish Natarajan, on business, medical & fitness devices.

Incubatee, IIT Mandi (Mar 2020 - Feb 2021)

During the Himalayan Startup Trek 2019, our team was selected for incubation at IIT Mandi. The incubation program focuses on making selected startups work towards creating their prototypes.

Worked on building the hardware under the guidance of Dr. Shubhajit Roy Chowdhury, also researched on SCG data.

Founder and CEO, Tensr.AI (Feb 2020 - Present)

"Increasing Human Potential with Assisted AI"

Developing the first product of Tensr.AI, which is a Healthcare AI Assistant, Teresa. Teresa allows users to triage their Cardiovascular and Respiratory Ailments with the help of the device and services provided by us. The product uses Deep Learning, Digital Signal Processing and other techniques over the bodily signals received by our device.

Data Scientist, xtLytics LLC (Jan 2019 - Jan 2020)

Developed an edge-based AI app for the Low Middle Income Countries (LMICs) to Triage Breast Cancer using Ultrasound Images with the help of Deep Learning Techniques (CNN) on a data set of around 6500 Images. (from scratch to deployment)

State-of-the-art Invoice OCR using GCP (Google Cloud Platform) which extracts Tables and further transforms the data inside those tables to desired account sheets by the Clients (50 Gas Station in US).

📚Academic Experience (Education)

M.Tech by Research in Intelligent Systems [IIT Mandi]

9.47/10 CGPA

Indian Institue of Technology, Mandi (Feb 2023 - Feb 2025)

Masters by Research in Intelligent Systemsunder the guidance of Dr. Arnav Bhavsar and Dr. Aditya Nigam

9.47/10 CGPA

based on ECTS credit system

Courses
- Advanced Topics in Deep Learning (CS672) by Dr. Aditya Nigam [A-] Feb 2023 - June 2023

Included Transformers, Deep Reinforcement Learning, VAE (Variational Autoencoders), GANs (General Adversarial Networks), GCN (Graph Convolutional Networks)

- Deep Learning and Applications (CS671) by Dr. Dileep A.D. [A-] Feb 2023 - June 2023

Included Perceptron, Neural Nets, CNNs(ResNet, AlexNet, GradCAM) , RNNs (LSTMs, GRUs), Autoencoders , GANs , and Transformers

- Biomedical Systems (EE516) by Dr. Erwin Fuhrer [A] Feb 2023 - June 2023

Lumped Models, Laplace and Fourier Transforms, Modeling of Biomedical Systems

- Mobile Virtual Reality and Artificial Intelligence (CS 662) by Dr. Varun Dutt [A] Feb 2023 - June 2023

Unity Game Engine, VR ConceptsCreated a simulation of Vikram Rover: Chandrayaan 3, using Unity,

B.Tech in Electronics and Communication Engineering [SNU]

Shiv Nadar University (Jul 2015 - May 2019)

Bachelor of Technology in ECE

Major: Electronics and Communication Engineering
- Digital Signal Processing Signals and Systems
- Embedded Systems Hardware Digital Electronics IEE (Introduction to Electrical Engineering)
- VLSI Technology and Design
- Communication Networks Analog Electronic Circuits Communication Engineering
- ElectroMechanics ElectroMagnetic Engineering
- Control Systems
Minor: Design
- Visual Design
- Ergonomics
- Product Design
- Color in Design
Other courses in Computer Science and Machine Learning.

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