Cv shaun dsouza

1. Shaun D’Souza
Curriculum Vitae
LinkedIn: https://www.linkedin.com/in/s-dsouza
Summary
12+ years experience in AI, ML, Software Engineering, R&D, Business. Varied experience in Computer
Science and Engineering. I have worked in Software/Business researching machine learning, compilers,
algorithms and systems. Social media, data analytics, mobile and cloud enable the enterprise. Primary
strengths include Machine Learning (Deep Learning, Reinforcement learning, NLP, CV, AI and Cognitive),
OOP (Java, C#, C++, Python, JS), Algorithms, Systems Design and Programming, Data Structures, Linux.
Developed ML algorithms for supervised learning, unsupervised learning and reinforcement learning.
Designed and implemented a compiler for an object-oriented language similar to Java. Published papers
and granted a patent. Strong written and verbal communication skills and extensive teamwork experience.
Led decision making and communications in strategic planning, ensuring alignment and organizational fit.
Provided leadership, strategy, innovation and execution.
Exploring a broader sandbox ecosystems enabling for AI. Investigating ML algorithms on unstructured
content form on the web. Evaluating the intersection of Software and Business in the context of AI, Glob-
alization, CSR and the Last mile with an emphasis on ML algorithms in the broader web.
Education
University of Michigan, Ann Arbor, MI
Electrical Engineering and Computer Science Department
2005 M.S.E., Electrical Engineering
2007 Enrolled in Ph.D., Computer Science and Engineering
GPA: 7.3/9.0
GRE Verbal: 600, Math: 780
Cornell University, Ithaca, NY
2003 B.S., Double Major in Computer Science, Electrical and Computer Engineering
GPA: 3.6/4.3, Cum Laude Honors
SAT I Verbal: 600, Math: 750
SAT II Subject Test Writing: 710, Math IIC: 800, Physics: 790
TOEFL: 660, TWE: 5.5
Related Coursework: Machine Learning, Advanced Compilers, Parallel Computing, Analysis of Algo-
rithms, Computer Graphics, Matrix Algebra, Systems Programming, Theory of Computing, Structure and
Interpretation of Computer Programs, Scientific Computing, Probability and Random Signals, Telecommu-
nication Systems.
Bill & Melinda Gates Foundation
2000 – 2007 Gates Millennium Scholar
1999 H.S.C. Swami Vivekanand Junior College, Chembur, Mumbai – 90%
1997 S.S.C. Fr. Agnel Multipurpose School, Vashi, Navi Mumbai – 85%
Professional Experience
Working as an Associate Manager since 2017 Accenture, Mumbai
2018 – Present Tech Architecture Delivery Assoc Mgr AI

2. Shaun D’Souza 2
Trained an AllenNLP PyTorch BiDAF model on a synthesized dataset using SQuAD2.0, GloVe to provide
natural language sentence phrase responses. Implemented an encoder-decoder LSTM model using weighted
attention for Natural Language Generation (NLG) in QnA.
Shaun C D’Souza, Lakshminarayanan, and Contractor, “Sentence Phrase Generation”1
Evaluating BERT model in Keras on the dataset for non-rule based NLG. Implemented BiDAF attention
flow for Machine Reading Comprehension (MRC) on the SQuAD dataset. Developed an intra-attention
model for Recognizing textual entailment (RTE) in Keras, TensorFlow.
Shaun C D’Souza, Pandey, Bhagat, Patil, Teegala, Basavaraj, Joy, Rao, and Jawagal, “Textual
Entailment”
D’Souza, Boxwala, Reddy, Patcharla, Mishra, Gopalakrishnan, and Jawagal, “Holistic generational
offsets: Fostering a primitive online abstraction for human vs. machine cognition”
Implemented GAN models for MNIST images and text. Developed a CNN model for diagnosis of blood-
based diseases in white blood cell images. Created a Deep Learning Algorithms Circle (150+ Members).
2017 – 2018 Application Development Assoc Manager
Enabled a conversational agent in C#, node.js using Bot Framework, LUIS.ai for product procurement.
Evaluated an open source architecture framework for implementation of dialog contexts using LuisDialog,
FormDialog and IDialog classes. Integrated Amazon Alexa, Echo for STT, TTS.
Shaun C D’Souza, Boxwala, Kotwal, Reddy, Patcharla, Mishra, Gopalakrishnan, and Jawagal, “Ar-
tificial Intelligence and Machine Learning based Conversational Agent”
Shaun C D’Souza and Mehta, “Defining a Sandbox for Responsible AI”
Shaun C. D’Souza, “LSTM Neural Network for Textual Ngrams”
Completed Master Technology Architect (MTA) Program Certified Technology Architect.
Worked as a Technical Lead since 2013 Wipro, Bangalore
2016 – 2017 (HOLMES) Cognitive and AI, CTO Office
Enabled a Question Answering framework for question analysis and answer extraction on a knowledge
base. Developed HOLMES helpdesk hypothesis for inference on structured and unstructured data using
python scikit-learn, R. Environment: Meteor, REST, MongoDB, ELK and JSON.
Shaun Cyprian D’Souza, “System And Method For Extracting Information From Unstructured Text”
S. D’Souza, “Parser extraction of triples in unstructured text”
Shaun C D’Souza, “Evolving system bottlenecks in the as a service cloud”
Completed Architect Career Essentials (ACE) Foundation Level Certification.
Client: HP, Bangalore
2014 – 2015 Global Engineering Services
Enabled Insight Diagnostics application to assist in system configuration. Agile Scrum project. Developed
a C++ unit testing framework for Redesign Diagnostics. Developed Linux, Windows libraries to verify
storage, network and graphics functionality. Implemented Boost and XML.
Shaun C D’Souza, “Eclipse CDT code analysis and unit testing”
Completed FoundAtioNs of Enterprise ArCHitecture PrOgRam (ANCHOR) training.
2013 – 2014 Android Centre of Excellence (COE)
Enabled Android 4.4.1, SELinux and Linux on a mobile platform. Developed the build environment
including Java, C++ compilation framework. Compiled the Android source including porting relevant
libraries to the device and emulator platforms.
Shaun C D’Souza, “Cognitive Architecture for a Connected World”
2012 – 2013 Consultant Tata Elxsi, Bangalore
2010 – 2012
Worked on client project - Intel.
Client: Intel, Bangalore
2012 – 2013 Component Design Engineer Intel Architecture Group
2010 – 2012 Validation Engineer
1See Publications/Patents

3. Shaun D’Souza 3
Developed an interface hub in simulation. Enabled Intel’s next generation server architecture. Debugged
runtime execution of MiniBios and test code to validate the Platform Reset Architecture Specification.
Developed a web-based application in Python, JS, HTML to validate simulation run.log data.
Intel, Hillsboro, OR
2007 – 2009 Hardware Engineer Ultra Mobility Group (UMG)
Ported Ubuntu Linux to Mobile Internet Device (MID) platform. Enabled Linux USB2 host and device
drivers to support Plug and Play, link power management extensions. Validated on-the-go controller func-
tionality in test system. Worked with the USB3 specification and extensible host controller interface working
groups to address UMG platform architecture needs. Developed tests in Linux, C to validate function and
performance of the USB2 subsystem.
University of Michigan, Ann Arbor, MI
2004 – 2007 Advanced Computer Architecture Labora-
tory, Computer Science and Engineering
Prof. Trevor Mudge
Assisted in the design and development of the M5 simulator. M5 is a full-system architectural simulator
implemented in C++ and Python.
Kgil, S. D’Souza, Saidi, Binkert, Dreslinski, Mudge, Reinhardt, and Flautner, “PicoServer: Using 3D
stacking technology to enable a compact energy efficient chip multiprocessor”
Developed pronunciation scores for phoneme, word and phrase using Hidden Markov Models (HMMs) and
statistical language models (Ngram) based on textual data from the Gutenberg project for speech recognition
on Sphinx.
Intel, Hillsboro, OR
Summer 2005 Graduate Intern Technical Ultra Mobility Group
Developed a future mobile platform.
IBM, Austin, TX
Summer 2003 Engineering Intern Sony Toshiba IBM Design Center
Investigated PlayStation3 architecture and performance.
Summer 2002 Engineering Co-op IBM, Burlington, VT
Fall 2001
Publications
[1] Shaun C D’Souza, Hussain Boxwala, Sudharshan Reddy, Annapurna Patcharla, Suman Mishra,
Swaminathan Gopalakrishnan, and Harsha Jawagal. Holistic generational offsets: fostering a primi-
tive online abstraction for human vs. machine cognition. arXiv preprint arXiv:1810.03955, 2019. url:
https://arxiv.org/abs/1810.03955.
[2] Shaun C D’Souza and Bhavin Mehta. Defining a sandbox for responsible ai. Available at SSRN
3255075, 2018. url: https : / / ssrn . com / abstract = 3255075. SSRN’s Top 100 download list for
CompSciRN: Artificial Intelligence, 2018.
[3] Shaun C. D’Souza. LSTM neural network for textual ngrams. Preprints, 2018. doi: 10.20944/
preprints201811.0579.v1. url: https://www.preprints.org/manuscript/201811.0579/v1.
SSRN’s Top Ten download list for CompSciRN: Artificial Intelligence, Dec, 2018.
[4] Shaun D’Souza. Parser extraction of triples in unstructured text. arXiv preprint arXiv:1811.05768,
2018. url: https://arxiv.org/abs/1811.05768.
[5] Shaun C D’Souza. Evolving system bottlenecks in the as a service cloud. arXiv preprint arXiv:1809.07794,
2018. url: https://arxiv.org/abs/1809.07794.
[6] Shaun C D’Souza. Eclipse cdt code analysis and unit testing. PeerJ Preprints, 6:e27350v1, 2018.
url: https://peerj.com/preprints/27350/. Received Best Pragati, Wipro. PeerJ Top 5 most
viewed article in Programming Languages, 2018.
[7] Shaun C D’Souza. Cognitive architecture for a connected world. arXiv preprint arXiv:1810.03955v1,
2018. url: https://arxiv.org/abs/1810.03955v1. Top 10 Shortlisted, Whitepaper Contest, Wipro.

4. Shaun D’Souza 4
[8] Taeho Kgil, Shaun D’Souza, Ali Saidi, Nathan Binkert, Ronald Dreslinski, Trevor Mudge, Steven
Reinhardt, and Krisztian Flautner. Picoserver: using 3d stacking technology to enable a compact en-
ergy efficient chip multiprocessor. International Conference on Architectural Support for Programming
Languages and Operating Systems - ASPLOS:117–128, 2006. url: http://tnm.engin.umich.edu/wp-
content/uploads/sites/353/2017/12/2006.11.PicoServer_ASPLOS-XII.pdf.
Patents
[1] Shaun Cyprian D’Souza. System and method for extracting information from unstructured text.
Granted US Patent 10002129 B1, 2018. Filed IN Patent 201741005343, 2017. url: https://patents.
google.com/patent/US10002129B1/en.
[2] Shaun C D’Souza, Subhashini Lakshminarayanan, and Gopali Contractor. Sentence phrase genera-
tion. Filed US Patent 16/730,093, 2019.
[3] Shaun C D’Souza, Ashutosh Pandey, Binit Bhagat, Vijay Patil, Chaitanya Teegala, Sangeetha Basavaraj,
Eldhose Joy, Nikita Rao, and Harsha Jawagal. Textual entailment. Filed US Patent 16/653,523, 2019.
[4] Shaun C D’Souza, Hussain Boxwala, Vaibhav Kotwal, Sudharshan Reddy, Annapurna Patcharla,
Suman Mishra, Swaminathan Gopalakrishnan, and Harsha Jawagal. Artificial intelligence and machine
learning based conversational agent. Filed US Patent 16/215,293, 2018. Filed AU Patent 2019257387,
2019.
Invited Talks
1. Textual Entailment, 2019. NLP training, Accenture
2. Artificial Intelligence - Business & Careers, 2019. TNI Career Counselling
3. Deep Learning (Machine Learning) NLP Algorithms, 2019. Brown Bag Sessions, Accenture
4. Shaun D’Souza, Varun Verma, Varsha Yadav, and Shyamalendu Mohanty. Tas sli - case study team,
2018. doi: 10.6084/m9.figshare.7857710. url: https://figshare.com/articles/TAS_SLI_-
_Case_Study_Team/7857710. Technology Architecture School (TAS) Case Study, Accenture
5. Shaun C Dsouza, Uday Jakati, and Priya Athreyee. Learn over coffee: computer vision and the
role of continuous testing in devops, 2018. url: https://webcast.accenture.com?eventid=34502.
Global Webcast, Accenture. 300+ attendees, Intranet
6. Shaun D’Souza, Bolaka Mukherjee, and Vipin Bhasin. Learn over coffee: computer vision, 2018.
doi: 10.5281/zenodo.3382079. url: https://doi.org/10.5281/zenodo.3382079
7. Shaun C D’Souza and Bhavin Mehta. Systems challenges for ai (presentation slides). Available at
SSRN 3285190, 2018. url: https://ssrn.com/abstract=3285190. Reading Group, Accenture
8. Shaun C D’Souza. Learning with classification and clustering, neural networks (presentation slides).
Available at SSRN 3242799, 2018. url: https : / / ssrn . com / abstract = 3242799. Short Term
Training Program (STTP) on Machine Learning. Department of Computer Engineering, Fr. Conceicao
Rodrigues Institute of Technology
9. AI & Machine Learning, 2017. Expert Lecture. Department of Computer Engineering, Fr. Conceicao
Rodrigues Institute of Technology, Vashi, Navi Mumbai
10. AI ML, 2017. Knowledge Sharing Session, Accenture
11. AI ML, 2016. Technical Talk, Wipro
12. Shaun D’Souza and Mohan Jami. Eclipse cdt code analysis and unit testing, 2015. doi: 10.6084/
m9.figshare.7379762. url: https://figshare.com/articles/Eclipse_CDT_code_analysis_
and_unit_testing/7379762. Poster Presentation. Awarded Best Pragati, Wipro
13. Shaun D’Souza. Programming languages, 2014. doi: 10.6084/m9.figshare.7763435. url:
https://figshare.com/articles/Programming_Languages/7763435. Technical Talk, Wipro

5. Shaun D’Souza 5
Software
1. Shaun D’Souza. Randomly generated article with figures, 2019. doi: 10.6084/m9.figshare.
7853210. url: https://figshare.com/articles/Randomly_generated_article/7853210
2. Shaun D’Souza. Ai ecosystems enabling, 2019. doi: 10.5061/dryad.s4mw6m93j. url: www.
github.com/shaundsouza/ai- ecosystems- enabling. Implementation of a Perceptron2
, Neural
Network3
, Information Gain4
, Reinforcement Learning Tic-tac-toe5
3. Shaun D’Souza. Lstm neural network for textual ngrams, 2019. doi: 10.5061/dryad.wstqjq2gm.
url: www.github.com/shaundsouza/lstm-textual-ngrams
4. Shaun D’Souza. Data from: parser extraction of triples in unstructured text, 2016. doi: 10.5061/
dryad.s7j17qp. url: www.github.com/shaundsouza/parser-triples
5. Shaun D’Souza. Scigen, 2019. doi: 10.5281/zenodo.2642273. url: https://doi.org/10.5281/
zenodo.2642273
6. Shaun D’Souza. Randomly generated book, 2018. doi: 10.6084/m9.figshare.7379519. url:
https://figshare.com/articles/book_pdf/7379519
7. Shaun C D’Souza. Data from: eclipse cdt code analysis and unit testing, 2019. doi: 10.5061/
dryad.5q0g45h. url: www.github.com/shaundsouza/eclipse-cdt
8. Shaun D’Souza. Web.html, 2018. doi: 10.6084/m9.figshare.7378112. url: https://nbviewer.
jupyter.org/github/shaundsouza/ai-ecosystems-enabling/blob/master/web.html
9. Shaun D’Souza. Prog lang.py, 2018. doi: 10 . 6084 / m9 . figshare . 7379507. url: https :
//figshare.com/articles/prog_lang_py/7379507
Projects
• Developed machine learning algorithms in Matlab including supervised learning (neural networks, naive
bayes, decision trees, support vector machines), unsupervised learning (k-means clustering, dimension-
ality reduction) and reinforcement learning.
• Designed and implemented a compiler for an object-oriented language similar to Java called Irish Coffee.
Compiler was developed in Java to support lexical analysis, parsing, type checking, optimizations and
code generation. Optimizations include live variable analysis, loop-invariant code motion, register
allocation, dead code elimination, inline expansion, common subexpression elimination and instruction
scheduling.
• Implemented greedy algorithms, divide and conquer, dynamic programming and NP-complete prob-
lems. Developed design patterns (creational, structural, and behavioral), refactoring and UML.
• Designed and implemented parallel algorithms for matrix multiplication, sorting in C, C++ and MPI,
pThreads. Implemented eigenvectors and singular value decomposition (principal component analysis).
Implemented concurrency, scheduling, synchronization, memory management, filesystems, security and
networking. Developed graphics algorithms for 3D transformation, ray tracing and texture mapping.
• Implemented graph algorithms including dijkstra shortest path, minimum spanning tree. Implemented
sorting algorithms, context-free grammars (CFG) and parsing, balanced search trees, graph algorithms.
• Implemented maze solving algorithm to create a random maze and determine a path. Implemented
fractals, cryptography and compression in a functional programming language, Standard Meta Lan-
guage (SML).
2perceptron.ipynb: https : / / nbviewer . jupyter . org / github / shaundsouza / ai - ecosystems - enabling / blob / master /
perceptron.ipynb
3nnet.ipynb: https://nbviewer.jupyter.org/github/shaundsouza/ai-ecosystems-enabling/blob/master/nnet.ipynb
4ig.ipynb: https://nbviewer.jupyter.org/github/shaundsouza/ai-ecosystems-enabling/blob/master/ig.ipynb
5tictactoe.ipynb: https : / / nbviewer . jupyter . org / github / shaundsouza / ai - ecosystems - enabling / blob / master /
tictactoe.ipynb

6. Shaun D’Souza 6
Skills
Java, C#, C/C++, Python, Perl, JS, Node.js, AngularJS, R, Matlab, Meteor, Servlets, REST, Design
Patterns, HTML, PHP
Apache Web server, Tomcat, Kibana, M5, Git, SVN, Rally, Jenkins, Lighttpd
MongoDB, MySQL, Elasticsearch, SQL Server
Eclipse, Visual Studio, Make, Ant, Maven, Linux, Windows
Certifications
Deep learning specialization, Coursera, 2019. url: https://www.coursera.org/account/accomplishments/
specialization/certificate/8JLPJAPBKJWS
Master Technology Architect (MTA) Program Certified Technology Architect, Accenture, 2018
Architect Career Essentials (ACE) Foundation Level Certification, Wipro, 2016
FoundAtioNs of Enterprise ArCHitecture PrOgRam (ANCHOR) training, Wipro, 2015
Honors and Awards
SSRN’s Top Ten download list for CompSciRN: Artificial Intelligence, Dec, 2018
PeerJ Top 5 most viewed article in Programming Languages, 2018
Best Pragati, Wipro, 2015
Gates Millennium Scholar, Bill & Melinda Gates Foundation, 2000 – 2007
B.S. Cum Laude, Cornell University, Ithaca, NY, 2003
Dean’s List – 5 semesters, Cornell University
Languages
English, Hindi, Marathi