My specialization

What i do

Deep Learning

CNN (DenseNet, ResNet, Inception), FCN, RNN (GRU, LSTM, bi-LSTM, stacked-LSTM, VAEs, Object Detection, Transformers, Transfer Learning, customizing, debugging and tuning Neural Networks.

Machine Learning

Linear Regression, logistic Regression, KNN, Naive Bayes, SVM, RL, Bagging & Boosting (ensemble), PCA, SVD,regularization, accuracy measures, statistical analysis and modeling, and knowledge of end-to-end machine learning pipeline (feature engineering, data cleaning, data visualization, model deployment and serving)

Software Development

Data structures and Algorithm, C++, Python, Java, GO Rust, Swift, Pytorch, Tensorflow, FastAI, Scikit-Learn, OpenCV, CUDA, HTML, CSS, JS.
Scrum, Agile process, UML, Build Pipeline, Junit-test, unit test, Java Docs, Doxygen, Build tools (Cmake, gcc, Make, gmake).
Full stack development: RestAPI, GRPC, Flask, NodeJS.
Mobile Development: Android (Java, Kotline), Flutter (Dart), Xcode (Swift), Figma, Adobe XD, Human Computer Intreaction Certified.

Cloud Computing/Deployment

AWS Certified, Kubernetes cretified, Google Cloud platform, Azure.

Experience & skills

EXPERIENCES

Aug 2013 – Present
Machine Learning

Third Insight

From developing deep learning based various components of visual scene understanding deep learning pipeline to building C++ and CUDA based systems, I had a phenomenal experience of wearing a lots of hats and taking ownership.

Sep 2013 – Oct 2016
ai specialist

ThermoFisher Scientific

Implemented and trained CNN based models for next-generation QPCR and PCR analysis software using Python and Tensorflow. Improved existing system accuracy from 78% to 98%. Solved multi dye cross-talk problems. Developed various methodologies to evaluate the performance of the model according to the domain. Built front-end system to use the Genotyper

Sep 2013 – Oct 2016
Data Science Intern

BNSF

During the 3 months internship, got the pleasure of building a computer vision application to detect defects in the railway tracks and developing various data analysis algorithms.

Sep 2013 – Oct 2016
Cofounder

Urstuffmyhouse

In order to help the community with its need for reliable storage, we built a MVP and launched it to aid people in finding a place to store their belongings safely and conveniently

AI (Deep Learning: CNN, LSTM, Transformers, ML: Regression, SVM, SVD, Kmeans Navie Bayes, PCA. End-to-end pipeline)
90%
Web development
100%
Machine Learning
67%
C++, Python, Java
98%
Deployment(Cloud: GCP, AWS Certified, Kubernetes Certified, Build pipelines, docker, AB testing)
95%
Design Patterns
98%

What they say

Testimonials

Nivedita Majumdar

Senior Staff Engineer, R&D

Passionate with a brilliant mind and strong deep learning skiils.

Gareth Block

ceo at ThirdInsight

You don't always find an employee like Devi — he 's great at his job at the same time, and enjoyable to job with. In his software projects, he is creative and pragmatic, taking esthetic and profound decisions for the architect, rather than just code. I assume that Devi will keep rising professionally to achieve great stuff!

Moe Bat

Co-Founder / Software Developer

Deep Learning wiz kid! He stores wealth of infomation in his brain. Always comes up with an elegant solution.

Ankit Khare

ceo at webflow

When it comes to core computer science, be it operating system, learning algorithms, data structures, or networking, he is an extremely passionate individual with utmost commitment and commendable perseverance. I've worked with him a lot in the last one year on web applications, google cloud compute engine, and data structure problems. I can definitely say that his understanding in all of them is impressive.

Thank you for visiting my site. Let's talk more.

Contact

Thank you! Your message has been received!
Oops! Something went wrong while submitting the form.

10k

lines of code

1

Research Paper

15

projects done

4

Testimonials