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Navin Kumar M

UnderGrad & ML Engineer, Data Scientist

Hello👋, This is Navin Kumar M, and I'm passionate about using Artificial Intelligence to solve Complex Real-World Problems . By leveraging the latest advancements in Deep Learning, I strive to create innovative solutions that have a positive impact on society. I invite you to have a glimpse of my journey as an AI Enthusiast and my expertise in various domains.

I have worked in fields like Computer Vision, Natural Language Processing, Generative Models, Modelling Tabular & Time Series Data . I have worked on diverse projects that have helped me hone my skills and gain a deeper understanding of the field.

I am passionate about PreTraining Models on Large Data, Solving Complex Machine Learning Problems and enjoy deploying Production level Scalable Systems. I love combining my technical knowledge and creativity to create and deploy entire MLOps Pipeline with full fledge working Application.

Experience

  • Machine Learning Engineer

    Gutsy InnovationsMay 2023 - July 2023

Featured Skills 💪

Technologies, Frameworks & Languages I'm Expertise in

Programming Languages

PythonTSC++RustSQLMongoDBJavatailwindcss

Frameworks & Libraries

nodejsPyTorchtensorflowRayTauriRapids

Infrastructure & Softwares

GitDockerKubernetesLinuxAWSmatlabtableauMLFlowWandb

Featured Post

If you're looking for some of my interesting works, check out my featured post

AI Malware System

pytorchazuretaurimalware-analysis
7 min read

Full Functioning AI Malware System, from front-end app to Power BI Visualization

Featured Portfolio

Check out my featured portfolio, feel free to explore it.

Chart Derendering - Benetech

Chart Derendering - Benetech

Derendering Charts and Plots to make them accessible for visually impaired people. This project was done as a part of the Benetech - Making Graphs Accessible Kaggle Competition. MatCha (Pix2Struct) model is used for derendering line, vertical bar, and horizontal bar charts. icevision Faster RCNN model is used for derendering dot and scatter plots.

AI Malware System

AI Malware System

Fast API Endpoint!. This project examines, analyses the malware statically & dynamically using conventional strategies and also apply machine learning algorithms lke lightgbm, svm and deep learning algorithms like CoAtNet, LSTM. FrontEnd App is Antivirus built on Tauri

DeepSee Surveillance AI

DeepSee Surveillance AI

Real Time Detection of Anomalous Activity From Videos (mainly crime actvity). Images of the video is trained using AutoEncoder to get the imtermediate feature representation of image & appliend svm model for the bag of such features to detect the anomaly & LSTM to detect the type of Anomaly.

Face Surveillance System

Face Surveillance System

Face Recognition from Crowd by using yolov7 .Extracting the faces from a video/image/live source, which is then passed to the custom facenet network in order to recognize the peoples

Malware-Detection Web App

Malware-Detection Web App

Malware Analysis using Deep Learning & Machine Learning deployed on AWS cloud. ML & DL algorithms was written in Python, Server Part written in node.js

Parallel & Distributed ML Workspace

Parallel & Distributed ML Workspace

Documentation of Setting up Parallel & Distributed ML Workspace in your systems. And to work seamlessly without error. Package to easily setup a environment in the group of systems