Manpreet Singh

CEO

London, United Kingdom22 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in developing scalable AI solutions.
  • Proven track record in enterprise software management.
  • Strong background in machine learning and data analysis.
Stackforce AI infers this person is a SaaS expert with a focus on AI and machine learning solutions.

Contact

Skills

Core Skills

Ai ServicesEnterprise SoftwareData Center SoftwareScalabilityMachine LearningAi DevelopmentFile SynchronizationNatural Language ProcessingCrm DevelopmentService DevelopmentRetail IntegrationMessaging SystemsData MovementSearch Engine DevelopmentIndexing Mechanisms

Other Skills

TensorFlowC++File SyncNLPPythonJavaIntegrationPL/SQLUnixCloud ComputingJava Enterprise EditionWeb ServicesAgile MethodologiesShell ScriptingHadoop

About

As a seasoned Engineering Leader, I have had the privilege of working on numerous enterprise projects. With a strong passion for software development and management, coupled with an insatiable desire to learn, I remain committed to delivering innovative solutions that meet the needs of my organization. With a Master's and Postgraduate degree in Artificial Intelligence, I am an active contributor to the AI and Machine Learning community, where I focus on developing large-scale learning and intelligent systems, mentoring resources, and managing stakeholders. My experience spans different countries, including London, Thailand, Malaysia, Europe, the USA, China, and Japan. Twitter: https://twitter.com/ms_ghotratweet

Experience

Salesforce

4 roles

Senior Director

Promoted

Aug 2024Present · 1 yr 7 mos

Director, Software Engineering

Aug 2018Present · 7 yrs 7 mos

  • Developing AI Services to serve enterprise software at web-scale with high Availability and Resiliency.
AI ServicesEnterprise Software

Senior Software Development Manager

Jun 2017Present · 8 yrs 9 mos

  • Salesforce Infrastructure:
  • Developing a scalable, intelligent, highly performant and fault-tolerant Data center software system.
Data Center SoftwareScalability

Software Development Manager - R&D

Jun 2015Present · 10 yrs 9 mos

  • Salesforce Einstein (Artificial Intelligence):
  • Einstein Spam Detection - Protect Your Community and Improve Productivity.
  • Image Moderation
  • Machine Learning API - Developing machine learning API on Big data stack using Apache Spark.
  • Salesforce Communities Cloud:
  • Salesforce File Sync - Manage and develop File Sync, written in C++, ensures that you always have access to the latest files from desktop and mobile.
  • Lightning Components -Developed lightning components using Aura framework.
  • Others:
  • Sentiment Analysis - Standford NLP, Tensorflow Library
  • Infrastructure Intelligence - In progress
Machine LearningAI Development

Pegasystems

Development Manager - CRM

Dec 2014Jun 2015 · 6 mos · Greater Hyderabad Area

  • Responsible for Developing CRM Platform which consists of Self Service, Social and CTI (IVR System) frameworks.
  • Management:
  • Hiring and setting up team
  • Resource Planning
  • Manage Stakeholder relationship
  • Mentoring
  • Training's
  • Sentiment Analyzer:
  • Developed a software engine based on machine learning, will be used to estimate the polarity, attitude of a tweet from Twitter, which is a popular microblogging service where users create status messages (called “tweets”). These tweets sometimes express opinions about different topics. Developed an automatic sentiment (positive or neutral or negative) extractor from a tweet.
  • Technology Stack: Twitter Hosebird Client, Apache Kafka, Apache Storm, HDFS, Spring Rest Client, Bayesian Classifier, Python Flask, SVM (TODO), Cortical Learning Algorithm (CLA)
CRM DevelopmentMachine Learning

Amazon

Manager Engineering

Dec 2012Nov 2014 · 1 yr 11 mos · Greater Hyderabad Area

  • CarrierInformationService (CIS):
  • CarrierInformationService provides clients with carrier mappings and contact information. Developed service to serve SLA limit's. CarrierInformationService used in-memory hyper sql database. The in-memory HyperSQL database cache is used to quickly serve client requests and avoid future calls to the source databases. New caching mechanism using Guava was developed to improve the caching mechanism.
  • TransitTimeEstimator:
  • A Machine Learning model was developed to estimate the transit time for Origin-Destination pairs to determine the proper balance between performance and cost. The model uses historical data to predict on time performance based on scheduled transit.
  • Log Analyze'r & De-duplication Engine:
  • Log Analyze'r is a powerful tool to search logs. Technology stack used was Java, Apache, Amazon Web Services(CloudSearch, S3, SQS), Multi-Threading and UNIX.
  • De-duplication Engine was developed to handle duplicate ID's.
  • Monitor Web Service:
  • Monitoring Web Service is a simple and reliable interface for accessing monitoring data. Using the Monitoring Web Service developed automated way of creating monitors, alarms at various node levels.
  • Amazon Seller’s Hackathon Program:
  • As part of Seller’s Hackathon Program, lead a team to use an existing machine-learning algorithm from Elastic Machine Learning to forecast how Fulfillments by Amazon can enhance there business.
Service DevelopmentMachine Learning

Tesco plc

Technical Lead

Nov 2007Dec 2012 · 5 yrs 1 mo · India

  • Subject Matter Expert for Retail Integration Bus (RIB):
  • RIB is used within the Oracle Retail Application domain to provide real time integration between retail applications using an asynchronous messaging system.
  • Attached document for reference
Retail IntegrationMessaging Systems

Oracle

Application Engineer

Jan 2005Jan 2007 · 2 yrs · India

  • Retail Integration Bus (RIB):
  • Worked as developer on Retail Integration Bus (RIB), provides a messaging infrastructure tuned for the high volume, high availability, and high reliability needs of retail.
  • Retail Extract Transform & Load (RETL):
  • Worked as developer on RETL high-performance, scalable, platform independent parallel processing data movement tool.
  • Artifacts Generator (AG):
  • Worked as developer on Retail Artifacts Generator (AG). Code generator works of an input XML Schema and generates the various RIB functional artifacts.
  • Sort Implementation:
  • Sort Implementation for RETL, designed ComboSort since interpreted code always has a performance disadvantage vis-a-vis native binaries, ComboSort has been designed from the ground up with innovative algorithms in order to compete with GSORT on performance. Entire implementation is done in java.
Retail IntegrationData Movement

Cordys (r&d)

Software Engineer

Jan 2003Jan 2006 · 3 yrs · Greater Hyderabad Area

  • Search Engine:
  • Searching and indexing mechanism was developed using Apache Lucene
  • File types supported for indexing and searching were HTML, TXT, XLS PPT, XML and DOC
  • For other file types parsers are required to be developed using JAVACC grammar as per the specification of a particular document type
  • Location and File Type based search facility
  • Worked on Lucene core project & examples
  • Alert & Logging Framework, JMX Extensions:
  • applied Apache Logging to existing codebase
  • applied Java Management Extensions to manage application's
  • Worked on Cordys Developer Network (CDN), World wide Issue tracking system (WITS) as part of 'center of excellence' team.
Search Engine DevelopmentIndexing Mechanisms

Education

International Institute of Information Technology Hyderabad (IIITH)

PGSSP — Machine Learning

Jan 2013Jan 2014

Birla Institute of Technology and Science, Pilani

MS — Software Systems

Visvesvaraya Technological University

Bachelor of Engineering (BEng)

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