Sudipta Mukherjee has over 15 years of experience as a software engineer and technical lead. He has worked at Epicor, HP, Fiserv Ness Technologies, and Tata Consultancy Services. Some of his accomplishments include creating a domain specific language to define UI constraints for printers, inventing a programmable key-value storage format, and building a supervised learning algorithm to auto-categorize banking transactions. He holds a B.E. in Electronics and Communication Engineering and has published multiple books on programming topics.

1. Flat #337, Block B, SLS Sunflower
Sudipta Mukherjee127/1 & 127/2 Boganahalli
Road, Varthur, Hobli
LinkedIn Profile
Bangalore – 560103
EMPLOYMENT
+91-9620432304
sudipto80@gmail.com
@samthecoder
GPA 8/10
Senior Engineer Epicor Software Corporation August 2015 – Present
 Working on tools and performance engineering group to identify bottlenecks in several projects. 
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 Created a Source Code Analytics system using Roslyn and JavaScript Data Visualiztion. 
System Software Engineer II HP Image Processing Group R&D March 2010 – July 2015
 Designed and implemented a Domain Specific Language (DSL) for defining UI constraints for different
type of printers. This replaced old XML based system as it reduced typing needs drastically and
offered almost flat learning curve because of its resemblance with plain English. 
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 Invented a programmable and distributable key value pair storage format called “Sponge” for
efficiently storing iterative and repetitive data. This used 75% less storage space than
equivalent XML documents. 
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 Created a tool for generating GUI testing scripts in HP proprietary scripting API. This boosted productivity of
the test team by 50%. Test developers could click and generate code based on their intention. 
 Created an interactive data analysis tool using C# and HighCharts for analyzing logs. 
Tech Lead Fiserv Ness Technologies April 2009 – March 2010
 Built a data structure called “Affinity Map” and then used it in a supervised learning algorithm to do
auto-categorization of banking transactions. This tagged unknown transactions with 85% accuracy. 
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 Created a static code analysis tool. It could find near duplicate code and supported a part of Code Query
Language. This tool was used to mine sections of the code for identifying code blocks to refactor to
reduce technical debt. This was before Roslyn. Wrote the parser and analyzer myself. 
Software Developer/Lead Tata Consultancy Services September 2004 – March 2009
 Created a data mining tool for project support team. This tool could read emails sent as support tickets and
classify problems in different problem domains. Later this tool sent emails to respective support engineers. 
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 Implemented Affiliate Management Platform and web application for Citibank. I started as a
software developer and eventually became the tech lead. 
EDUCATION / CERTIFICATION
Howrah, West Bengal Vidyasagar University Sep 2000 – Oct 2004
 B.E. in Electronics and Communication Engineering GPA : 8.0 out of 10 
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 Certification on Machine Learning from Coursera offered by Andrew Ng from Stanford University. View
my certificate here. 
 Certification on C, C++ and Linux from a Chicago University affiliated instituition. 
Language and Technologies
 C++; C; C#; F#; SQL; XML; Visual Studio; Microsoft SQL Server; TFS; Git; WCF;LINQ; PLINQ; TPL; Rx.NET; Roslyn;
NUnit; MS Unit Testing; PowerShell;

2. Published BOOKS
F# for Machine Learning Essentials (2016): Find it on amazon. Dr. Ralf Herbrich, Director of Machine Learning
Science, Amazon wrote foreword for the book. The Initial reviews are good. Here is a sample chapter.
Thinking in LINQ (2014): Find it on amazon. This has been accepted very well.
.NET 4.0 Generics Beginners’ Guide (2012): Read an article from the book. Dr. Don Syme and Dr.
Andrew Kennedy from Microsoft Research, UK wrote foreword for the book. Here are reviews
Data Structure using C, 1000 Problems and Solutions (2008): It is on Google Books. It got translated
to Simplified Chinese. Some domestic and foreign universities have adopted the book.
CONFERENCE TALKS AND PRESENTATIONS
HP TechCon 2014 : HP TechCon happens every year where HP employees get to share their innovative ideas
with colleagues across the company, across geographies. My paper on automatically generating print ready
timeline for any given subject from unstructured data gathered from web; was selected in 2014. Less than 1% of
the submissions make it to the selection.
Practical Machine Learning using F#: At Functional Programming Conference in 2015, I gave this talk based
on my “F# for Machine Learning Essentials” book. https://confengine.com/functional-conf-
2015/proposal/1211/practical-machine-learning-in-f
Thinking in LINQ: At Functional Programming Conference in 2014, I gave this talk based on my “Thinking
in LINQ” book. https://confengine.com/functional-conf-2014/proposal/690/thinking-in-linq
Skills – Interests – Hobbies
Framework Design; Data Structures; Algorithms; Tools Development; Text Processing; NLP;
Machine Learning; Domain Specific Languages; Unit Testing; Expressive Computing; Usability;
Refactoring; Web Crawlers; Data Visualization; Data Analysis; Sketching; Paintings; Geometry;
Physics; Humor; Technical Writing; Programming Languages