Summary
Overview
Work History
Education
Skills
Academic Projects
Certification
Accomplishments
Publications
IIT Bombay Courses
Statistical Skills and Learnings
Timeline
Generic
Vurukonda Sathish

Vurukonda Sathish

Ph.D.@IIT Bombay Senior Machine Learning Engineer
Bengaluru

Summary

I am a Ph.D. graduate from the Department of Electrical Engineering at IIT Bombay. My research was centered around the modeling of multivariate time series data with a particular emphasis on count data. In addition to my academic background, I have experience in AI/ML with technical leadership, strong coding skills, and a focus on effective communication and collaboration. I specialize in natural language processing and computer vision, delivering innovative strategies for business growth.

Overview

2
2
years of professional experience
5
5
Certifications

Work History

Senior Machine Learning Engineer

TensorIoT
12.2023 - Current
  • Anomaly detection in manufacturing data which systematically recorded from various sensors during different phases of each product's production cycle.
  • Developed a table detection algorithm capable of identifying tables within machine or scanned PDF documents and extracting the associated text.

Associate Research Staff Member

Vijna Labs Private Limited
03.2022 - 12.2023
  • Developed a document extraction product that leverages large language models (LLMs) like GPT and PALM with an impressive extraction accuracy rate of over 92%.
  • Developed an efficient inference engines for RNN, LSTM, GRU, and BERT model in C++ with object-oriented programming, CuBLAS, and CuDNN library and achieved an inference speed of over 70% as compared to traditional Python inference libraries.
  • Involved in document extraction project from from structured and unstructured documents which is based on deep learning models and transformers and achieved an impressive accuracy rate of 90%.
  • Built an ensemble model with Logistic Regression, Random Forest, XGBoost, Catboost, SVM, and ANN models on the extracted fields from documents to provide a conversion probability for each new submission with an impressive accuracy rate of over 93% and a regression model to prioritize new submissions.
  • Optimized the field extraction solution for new submissions and achieved a 70% reduction in inference time compared to the original implementation and 40% reduction in their size without any loss of accuracy after applying quantization techniques.
  • Developed an efficient inference engine for extracting fields from new account submissions using inference engines RNN, LSTM, GRU, and BERT model and achieved a remarkable speed improvement of 75% compared to the PyTorch implementation.
  • Developed an ensemble model with Logistic Regression, Random Forest, XGBoost, Catboost, SVM, and ANN models multi-model for predicting the ratings of company pros and cons based on Glassdoor reviews and achieved an impressive accuracy rate of over 93%.
  • Designed an ensemble of classic machine learning models to predict the confidence scores for all recognized fields on bank checks and model achieved an impressive 65% confidence score for every field on the check.

Education

Ph.D. - Electrical Engineering

Indian Institute of Technology (IIT) Bombay
02.2022

B.Tech - Electronics And Communications Engineering

Jawaharlal Nehru Technological University
Hyderabad
04.2014

Intermediate/+2 -

Sri Chaithanya Junior College
Yellandu
03.2010

Matriculation -

Zilla Parishad Secondary School
Komararam
04.2008

Skills

Softwares/Tools: LATEX, Beamer, Microsoft Office, Docker, JIRA, Git Version Controlundefined

Academic Projects

  • Ph.D Thesis : Estimation and prediction over graphical models for multivariate count time series, 01/2016 to 02/2022

Guide: Prof. Debraj Chakraborty, Prof. Siuli Mukhopadhyay

  • Lag analysis module for an industrial die casting production line manufacturing aluminium automobile wheels, 06/2021 to 09/2021

Guide: Prof. Debraj Chakraborty

  • Detection model for the unknown anomalous sounds emitted from a Toy-car (ToyADMOS), 09/2021 to 11/2021
  • Model to predict the demand potential of products from the past details of many products, 12/2021 to 01/2022,
  • Course Project: Kalman Filter Design for Rotary Inverted Pendulum and Identification of State Space Model,

Guide : Prof. Debraj Chakraborty, IIT Bombay

  • Course Project: Design of Nonlinear Controller for Rotary Inverted Pendulum

Guide : Prof. Debraj Chakraborty, IIT Bombay

Certification

AWS Engagement Security Training for Partners

Accomplishments

  • All India Rank-116 in Council of Scientific and Industrial Research University Grants Commission National Eligibility Test (CSIR-UGC NET) in Engineering Science - a national level entrance examination for the award of Junior Research Fellowship (JRF), 2015.
  • All India Rank-8808 in Graduate Aptitude Test (GATE) in Engineering (Electronics and Communication Engineering) - a national level entrance examination for graduate study, 2015.

Publications

  • Journal Articles, Predictive likelihood for coherent forecasting of count time series, Siuli Mukhopadhyay and Vurukonda Sathish, International Journal of Forecasting, 38(3), 222-235, April, 2019
  • Journal Articles, ARMA Models for Zero Inflated Count Time Series, Vurukonda Sathish, Siuli Mukhopadhyay and Rashmi Tiwari, Statistica Neerlandica, September 2021
  • Journal Articles, Graphical models for multivariate count data using Monte Carlo Expectation and Maximization algorithm with `1-type regularization, Vurukonda Sathish, Debraj Chakraborty and Siuli Mukhopadhyay, Journal of Machine Learning Research, Submitted
  • International Conferences, ARMA Models for Zero inflated Count Time Series Modeling Dengue Incidence, Siuli Mukhopadhyay, Vurukonda Sathish and Rashmi Tiwari, International Indian Statistical Association (IISA), Mumbai, December, 2019
  • International Conferences, Topology selection using Monte Carlo Expectation and Maximization algorithm with `1 -type regularization for count data, Vurukonda Sathish, Debraj Chakraborty and Siuli Mukhopadhyay, Conference on Decision and Control (CDC), Nice, France, December, 2019
  • International Conferences, Modeling Count Time Series with Zero Inflation and Overdispersion, Vurukonda Sathish, Rashmi Tiwari and Siuli Mukhopadhyay, International Symposium on Forecasting (ISF), Thessaloniki, Greece, June, 2019
  • International Conferences, Predictive Likelihood for Coherent Forecasting of Count Time Series, Siuli Mukhopadhyay and Vurukonda Sathish, IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence, Ahmedabad, April, 2019
  • International Conferences, ARMA Models for Zero inflated Count Time Series, Siuli Mukhopadhyay, Vurukonda Sathish and Rashmi Tiwari, Webinar on Recent Trends in Statistical Theory and Applications(WSTA), Virtual, June, 2021
  • International Conferences, ARMA Models for Zero inflated Count Time Series, Vurukonda Sathish, Siuli Mukhopadhyay and Rashmi Tiwari, 10th World Congress in Probability and Statistics, Virtual, July, 2021

IIT Bombay Courses

  • Multivariable Control Systems
  • Optimal Control Systems
  • Nonlinear Dynamical Systems
  • Optimization
  • Decentralized Control of Complex Systems
  • Matrix Computations
  • Applied Linear Algebra
  • Statistical Signal Analysis
  • Optimization in Chemical Engineering
  • Applied Multivariate Statistics
  • Advanced Process Control
  • Estimation and Identification

Statistical Skills and Learnings

  • Statistical Inference
  • Regression Analysis
  • Multivariate Statistics
  • Time Series Analysis
  • Graphical Modelling
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision (CV)
  • GPU Programing

Timeline

Senior Machine Learning Engineer

TensorIoT
12.2023 - Current

Associate Research Staff Member

Vijna Labs Private Limited
03.2022 - 12.2023

Ph.D. - Electrical Engineering

Indian Institute of Technology (IIT) Bombay

B.Tech - Electronics And Communications Engineering

Jawaharlal Nehru Technological University

Intermediate/+2 -

Sri Chaithanya Junior College

Matriculation -

Zilla Parishad Secondary School

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Vurukonda SathishPh.D.@IIT Bombay Senior Machine Learning Engineer