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Abhishek RaiAR

Abhishek Rai

@abhishek.rai

Software Engineer (ML Division) at Sony India Software Centre

Varanasi

https://confirm.udacity.com/KEKATYJQ

Sony India Software CentreGalgotia College of Engineering & Technology

Abhishek is an experienced and performance-driven Software Engineer with over 2.5 years of experience in the ML domain. He specializes in designing and developing ML models, analyzing data, and enhancing existing models to provide value to clients. His expertise includes deep learning technologies, statistical analysis, and implementing MLOps frameworks.

Experience

Software Engineer (ML Division)

Sony India Software Centre

Full-timeNov 2001 - PresentBangalore

Developing and implementing Machine Learning Operations (MLOps) framework; performing analysis based on requirements analysis and technical evaluation. Driving scalable full-stack solutions for the versioning and retrieval of models, training data, benchmarks, and challenge datasets. Designing and developing analysis systems as part of extracting valuable information from large scale databases. Presenting machine learning solutions to management. Designing machine learning systems and developing applications according to requirements.

Machine Learning and NLP Intern

Adfluence Hub

InternshipJul 2001 - Aug 2001

Sentiment analysis using NLP on collected comments.

Machine Learning Intern

Sony India Software Centre

InternshipJan 2001 - Mar 2001

Implemented Deep Learning models in the SONY machine learning framework called Neural Network Libraries or Nnabla.

Education

Galgotia College of Engineering & Technology

Bachelor of Technology

Computer Science Engineering

Jan 2019Grade: 7.09 GPA

Sunbeam School

12th

Jan 2014Grade: 85.8%

Sunbeam Academy

10th

Jan 2012Grade: 10 CGPA

Licenses & Certifications

NLP Fundamentals nanodegree

Udacity

• No expiration
View Credential

Introduction to Machine Learning in Production

Coursera

• No expiration
View Credential

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Coursera

• No expiration
View Credential

Neural Networks And Deep Learning

Coursera

• No expiration
View Credential

Structuring Machine Learning Projects

Coursera

• No expiration
View Credential

Skills

Python
C++
Statistical Analysis
Linear Regression
Logistic Regression
Clustering
Computer Vision
NLP
Deep Learning
ML for audio
AWS Sagemaker
S3
EC2
Lambda
Intel Open-Vino Toolkit
Tensorflow
Pytorch
Keras
Numpy
Pandas
SciKit Learn
Matplotlib
Jupyter Notebook
Sentiment Analysis
Image Classification
Image Identification
Image Verification
Image Detection
Exploratory Data Analysis (EDA)
Multi-Layer Perceptron (MLP)
Neural Networks
Support Vector Machines (SVM)
Landmark Detection
Image Segmentation
Transfer Learning
ORB
Attention Mechanism
Variational Autoencoders (VAE)
GAN
Residual Network
GRU
LSTM
RNN
CNN
YOLO
OpenCV
CUDA
Nnabla
Data Visualization
Predictive Analysis
Statistical Modeling
Data Mining
Clustering & Classification
Machine Learning Model Development