Gurkirat S.

Gurkirat S. Email and Phone Number

Senior NLP Deep Learning Engineer @ Salesforce Einstein @ Salesforce
san francisco, california, united states
Gurkirat S.'s Location
San Francisco Bay Area, United States
Gurkirat S.'s Contact Details

Gurkirat S. personal email

Gurkirat S. phone numbers

About Gurkirat S.

Gurkirat S. is a Senior NLP Deep Learning Engineer @ Salesforce Einstein at Salesforce. He possess expertise in leadership, objective c, neural networks, scikit learn, text classification and 40 more skills.

Gurkirat S.'s Current Company Details
Salesforce

Salesforce

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Senior NLP Deep Learning Engineer @ Salesforce Einstein
san francisco, california, united states
Website:
salesforce.com
Employees:
46706
Gurkirat S. Work Experience Details
  • Salesforce
    Senior Nlp Deep Learning Engineer -- Einstein.Ai
    Salesforce 2020 - Present
    San Francisco Bay Area
    Building deep learning language models for PII (personal info), NER and intent classification.𝐏𝐈𝐈:• Designed & implemented PII inference chunking pipeline architecture to support entity masking on largedocuments for Generative AI LLMs (batching, DJL routing, concurrency)𝐈𝐧𝐭𝐞𝐧𝐭 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧:• Launched a new intent product for chatbot application, supporting all stages of product development: market research, technical NLP model research, developing prediction pipeline, training framework through internal SDKs, model evaluation, customer feedback𝐍𝐄𝐑:• Architected prediction pipeline redesign for higher throughput/lower latency • Led efforts of multilingual expansion to 40+ languages and 10+ entities for contextual chatbot applications. • Implemented model training, augmentation, async predictions, normalization, GRPC contracts
  • Paypal
    Software Engineer 2 (Nlp Lead)
    Paypal Sep 2018 - Dec 2019
    San Francisco Bay Area
    • Product attribute extraction from text data for Jetlore• User-Product recommendations
  • Paypal
    Software Engineer (Nlp)
    Paypal Jul 2018 - Dec 2018
    San Francisco Bay Area
    𝗣𝗮𝘆𝗣𝗮𝗹 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗣𝗼𝘀𝘁 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻• Predict category of user’s post to mitigate cluttering, false categorization and auto-moderation.• Scripted to fetch 46,000 public posts spanning 7 categories• Used Doc2Vec/autoencoders, researched hierarchical NLP models & used dimensionality reduction techniques (t-SNE, PCA) to cluster using K-means with silhouette scoring.𝗦𝗲𝗻𝘁𝗶𝗺𝗲𝗻𝘁𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀• Model intended to be used for identifying sentiment of customer messages to route requests accordingly• Convolutional/Bi-LSTM models with GloVe embeddings--achieved 87% accuracy• Used K-fold cross-validation, batch training & precision/recall metrics to identity false pos/negs
  • Paypal
    Software Engineer I (Application Data Services)
    Paypal Sep 2017 - Sep 2018
    San Francisco Bay Area
    • Designed server capacity analysis dashboard in Node.js for Oracle Connection Cache (OCC) to detect & monitor anomalies in data, automate server capacity projections & visualize pool layout.• Host traffic analysis/automation b/w data sources• Disaster recovery compute parity with LIVE site• Maintained Hibernate-orm for OCC test measures
  • My Personal Projects
    Blockchain Developer
    My Personal Projects Apr 2018 - Jan 2019
    San Francisco Bay Area
    𝗧𝗿𝗼𝗻 𝗪𝗮𝗹𝗹𝗲𝘁 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 (𝟮𝗻𝗱 𝗽𝗹𝗮𝗰𝗲 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹)• Designed hot, cold, watch-only wallets to send crypto transactions, view chain performance/transaction data with automatic selection of proof of stake nodes based on smallest latency. • GRPC, Java Spring API backend𝗧𝗿𝗼𝗻 𝗗𝗮𝗽𝗽 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 𝗙𝗶𝗻𝗮𝗹𝗶𝘀𝘁 (𝗗𝗲𝗺𝗼: https://bit.ly/2HKst8T)• Built crypto name service (DNS-like human readable addresses) for Tron • Wrote decentralized encrypted smart contracts on Tron network for updating aliases, permissions, tags for base58 addresses• Created responsive React/Semantic frontend with Node.js backend to send smart contract calls
  • My Personal Projects
    Ai Developer
    My Personal Projects Mar 2017 - Jan 2019
    San Francisco Bay Area
    𝗖𝗜𝗙𝗔𝗥-𝟭𝟬𝟬 𝗢𝗯𝗷𝗲𝗰𝘁 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻• Conv net with softmax classifier to denoise, normalize & classify colored images of objects• Experimented with feature maps, network structure, feature visualization of each layer𝗖𝗵𝗮𝗿𝗮𝗰𝘁𝗲𝗿-𝗹𝗲𝘃𝗲𝗹 𝗥𝗡𝗡 𝗼𝗻 𝗡𝗼𝘃𝗲𝗹𝘀/𝗦𝗽𝗲𝗲𝗰𝗵𝗲𝘀• RNN model to predict character sequences with largest probability• Improved performance by adding randomness to data & softmax via simulated annealing𝗠𝗡𝗜𝗦𝗧 𝗗𝗶𝗴𝗶𝘁 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻• Multi-layer network (w/ back propagation) from scratch using logisitic/softmax regression• Utilized different gradient descent techniques to better recognize digits
  • Bug Bounty Researcher
    Web Security Hacker/Automation, Infrastructure Developer
    Bug Bounty Researcher Jun 2016 - Sep 2016
    Successfully found web exploits in Facebook, Buzzfeed, and Stage32.com𝗙𝗮𝗰𝗲𝗯𝗼𝗼𝗸 [Medium post below]• Found a large scale security bug that let you gain complete access to multiple accounts at once.𝗕𝘂𝘇𝘇𝗳𝗲𝗲𝗱• Wrote multiple spiders: Mechanize, Selenium, PhantomJS, BeautifulSoup, Rotating IPs, Google Computing infrastructure, Multithreading (923+ http requests per second).• Complete account access (stealing session keys/brute force password) and DDoS memory attack.𝗦𝘁𝗮𝗴𝗲𝟯𝟮• Complete database takeover.
  • My Personal Projects
    Ios/Android Developer & Design & Automation Engineer
    My Personal Projects Jan 2014 - May 2015
    𝗔𝗰𝗲𝗯𝗼𝗼𝗸𝘀: iOS app for students to buy/sell crowdsourced college textbooks with automatic bidding!• Used web scraping to collect textbook data & processed it into large data sets in order to create efficient & automate algorithmic flow• Python scripts to automate the process of handling backend data and updating andmaintain database systems.𝗦𝗽𝗲𝗰𝗮: Developed an iOS/Android social networking app for sharing ephemeral images/videos!• Provides streaming and direct popularity to trending events and people.• MYSQL database using PHP and coded apps in Objective-C, Java and HTML web server.• Built attractive UI; Anonymous & engaging platform; Faster methods to taking pictures & enhancing them.
  • Intel Corporation
    Software Automation Engineer
    Intel Corporation Jun 2014 - Sep 2014
    California
    Created automated graphics driver tools for DirectX12 and working with large JSON data sets to make testing faster for developers. • Generated C++ code using python with the purpose serving as a beautifier, scripts for Microsoft's 3D graphics API (xBox)• Executed code review processes through Perforce & wrote custom-built source code management tools for Perforce• Wrote Python plugins to help with reconfiguring Intel server architecture development; product shift to remote debugging interface.
  • Self-Started Project
    Founder/Developer
    Self-Started Project Sep 2012 - Jul 2013
    Sacramento, California Area
    Designed and coded a fully functional educational software called "Eternity" from scratch to be implemented in the local school district. Pitched & productionized the software for public implementation AWARDS:3rd in Math & Comp. Science at Science & Engineering FairUS Army bronze medalNaval Force awardAir Force award
  • Design & Technology Academy
    Public Relations & Media Director/ Leader Of Membership Committee
    Design & Technology Academy Aug 2010 - May 2013
    Sacramento, California Area
    Public Relations & Media Director:Develop and execute an integrated public relations strategy to maintain a positive and attractive perception of the academy with key audiences Collaborated with mentors of other schools around CA, Microsoft & Google partners at the California Partnership Academy Conference to encourage and coach other academies of the secrets of building institutions on student leadership and service learning projectsLeader of Membership Committee:Supervised and managed the attendance of academy's students to monthly meetingsIncreased student participation to the meetings/events

Gurkirat S. Skills

Leadership Objective C Neural Networks Scikit Learn Text Classification Ros Amazon Web Services Linux Algorithms C Stock Market Node.js Mongodb Operating Systems Flair Magnitude Data Analysis Tensorflow Keras Market Research Image Processing Mobile Social Networking Presto Nltk Software Recommender Systems Mobile Applications Html Data Structures Java Spacy Seaborn Kubernetes C++ Elmo Embeddings Numpy Python Business Strategy Panda Computer Science C# User Experience Design Amazon S3 Mysql Shell Scripting

Frequently Asked Questions about Gurkirat S.

What company does Gurkirat S. work for?

Gurkirat S. works for Salesforce

What is Gurkirat S.'s role at the current company?

Gurkirat S.'s current role is Senior NLP Deep Learning Engineer @ Salesforce Einstein.

What is Gurkirat S.'s email address?

Gurkirat S.'s email address is ta****@****hoo.com

What is Gurkirat S.'s direct phone number?

Gurkirat S.'s direct phone number is +191671*****

What are some of Gurkirat S.'s interests?

Gurkirat S. has interest in Science And Technology, Social Services, Education, Arts And Culture.

What skills is Gurkirat S. known for?

Gurkirat S. has skills like Leadership, Objective C, Neural Networks, Scikit Learn, Text Classification, Ros, Amazon Web Services, Linux, Algorithms, C, Stock Market, Node.js.

Who are Gurkirat S.'s colleagues?

Gurkirat S.'s colleagues are Krishnan Nagarajan, Divyani Indurkhya, Tasha Benjamin, Uday Kiran, Liam Harrington, Michael Davenport, Christina Smits.

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