Anuj Kumar

AI Researcher

New Delhi, Delhi, India4 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in deploying scalable machine learning applications.
Experience with Explainable AI methods and Attention Networks.
Proven track record in healthcare AI applications.

Stackforce AI infers this person is a Deep Learning Engineer with expertise in AI applications across healthcare and computer vision.

Contact

rangerfc56@gmail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningDeep LearningComputer VisionData Science

Other Skills

3D Rendering3d deep learningAmazon Web Services (AWS)Analytical SkillsAnalyticsAutomated Machine Learning (AutoML)C#C++CommunicationComputational GeometryData AnalysisData AnalyticsData MiningData StructuresData Visualization

About

Being an AI enthusiast, I relish playing with data and work on deep learning and machine learning concepts to apply them to build applications with large-scale usage. I have experience in end to end Machine learning project development, deployment, management and scaling. I am skilled in Python, C++, SQL, R, MATLAB, PyTorch, and Tensorflow. I have experience in Computer Vision and NLP projects. Being a deep learning engineer at Sony Japan, I learnt how Machine learning models (CNN) can be made explainable using Explainable AI methods and worked on Attention Networks. I have experience in API development and deploying ML projects using Docker, Kubernetes, AWS and Google Cloud Service. Being an research enthusiast, I have performed AI applications in healthcare, 3D modelling research in different labs. I have worked as AI engineer in startups, where I learnt how to bring product from research to production and scale them up,manage software and data teams, collaborate with experts and enhance product performance and user satisfaction through customer-centric optimization.

Experience

4 yrs 8 mos

Total Experience

11 mos

Average Tenure

2 yrs 3 mos

Current Experience

Intellifai labs inc

Senior AI engineer

Mar 2024 – Present · 2 yrs 3 mos · Ontario, Canada · Remote

Lipsync, voice cloning , Stable Diffusion

PrototypingRenderingArtificial Intelligence (AI)Machine Learning

Dental ai

AI Researcher

Feb 2023 – Mar 2024 · 1 yr 1 mo · United States · Remote

Python (Programming Language)PyTorch3D Rendering3d deep learningMachine LearningDeep Learning

Spyne

Deep Learning Engineer

Feb 2023 – Mar 2023 · 1 mo · Gurugram, Haryana, India · On-site

Developed a personalized image-to-image translation model for a car catalogue
using the Dreambooth Stable Diffusion model,resulting in studio-like images.
Employed prompt engineering techniques like prompt matrix in InstructPix2Pix
and ControlNet Stable Diffusion models to get 25000 studio like car images
Created a real-time object detection model on edge using YoloV7, trained on
80000 images achieving a 72.3% MAP for inspecting car damages.

Automated Machine Learning (AutoML)Fine TuningOpenCVScikit-LearnNumPyComputer Vision+1

Sony | r&d

Deep Learning Researcher

May 2022 – Dec 2022 · 7 mos · Tokyo, Japan

Contributed to open source - Neural Network libraries
Developed the API for Responsible AI methods like Saliency and SHAP
Developed Visualization function using PyTorch
Developed the tutorial for SHAP and Saliency visualization using Jupyter and reduced visualization time to 4 seconds
Built ResNext, Resnet, WideResnet, and Densenet from scratch and trained on Neural Network Console on Cifar 100 data
Integrated Attention Branch Network with Resnext hence improved the accuracy by 20% by changing hyperparameters

Automated Machine Learning (AutoML)Image AnalysisTensorFlowFine TuningPyTorchVersion Control+9

National taiwan university

Research Intern

Nov 2021 – Dec 2021 · 1 mo · Taiwan

Used ETL methods in SQL to extract and organize a large dataset of 20GB+ and
performed clustering analysis
Organized a virtual conference of 45 members on Epigenetics inviting the
guest speaker Dr.Miguel Constancia (University of Cambridge)

Image AnalysisAnalytical SkillsMySQLQuery WritingPredictive ModelingData Mining+19

Purdue university

Summer Research Intern

Sep 2021 – Oct 2021 · 1 mo · United States

Built a computer vision model that can predict vital signs with 89.22% F1 score
using face detection and signal processing methods
Automated build, deployed and dockerized the model in Kubernetes using
Google Cloud Platform

Automated Machine Learning (AutoML)Image AnalysisTensorFlowAnalytical SkillsMySQLData Mining+21

Uc san diego

Research Intern

Feb 2021 – Aug 2021 · 6 mos

Worked with a team of deep learning researchers, surgeons and medical students, on
techniques to understand surgical workflow to mitigate surgical errors
Designed a multi-task deep learning model from scratch using videos that can perform critical decisions during surgery by taking AI ethics and reliability into consideration
Improved the accuracy by 18%

Automated Machine Learning (AutoML)Image AnalysisTensorFlowAnalytical SkillsMySQLPyTorch+16

Indian institute of technology, delhi

Undergraduate researcher

Nov 2020 – Apr 2021 · 5 mos

Performed quantitative analysis of sequential data using an artificial neural network.
Illustrated novel ways to improve the quality assessment of proteins through contact map integration to scientists.
Presented 15 ways of protein sequence representation in the form of matrix, bipartite graphs, and tensors.
Suggested novel algorithms to improve the quality assessment of proteins

Image AnalysisAnalytical SkillsQuery WritingPredictive ModelingR (Programming Language)OpenCV+5