What i do
CNN (DenseNet, ResNet, Inception), FCN, RNN (GRU, LSTM, bi-LSTM, stacked-LSTM, VAEs, Object Detection, Transformers, Transfer Learning, customizing, debugging and tuning Neural Networks.
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)
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.
AWS Certified, Kubernetes cretified, Google Cloud platform, Azure.
Experience & skills
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.
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
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.
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
Projects I have worked on
What they say
Passionate with a brilliant mind and strong deep learning skiils.
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!
Deep Learning wiz kid! He stores wealth of infomation in his brain. Always comes up with an elegant solution.
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.