Gaurav Kabra
SDE-2 at Salesforce | Author of The Alchemy Of JavaScript
Gaurav Kabra is a skilled software engineer with a focus on full-stack development and a strong background in Java and JavaScript. He has demonstrated his problem-solving abilities and expertise in various programming languages, including C++, Python 3, and Object-Oriented Programming. Gau
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4.1
Years of Experience
Education
nit jaipur malaviya national institute of technology jaipur
Companies
salesforce, salesforce, salesforce, salesforce, fidelity
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Email (Verified)
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Mobile Number
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Experience
2024 - Present
salesforce
Member Of Technical Staff, Revenue Cloud (now part of Industries)
Revenue Cloud is part of the Salesforce Customer 360, helping companies build stronger customer relationships, drive faster time to value, and innovate with every technology wave. Revenue Lifecycle Management is a new product that combines everything in one SKU and is running natively on the platform. Working on Data Processing Engine (CRMA side) to spike and implement TDs from Billing team on invoice generation.
2023 - 2024
salesforce
Member Of Technical Staff, Data Cloud
Data Cloud (AKA Customer Data Platform, CDP and Genie) – Salesforce’s real-time hyperscale data engine – unifies and harmonizes customer data, enterprise content, telemetry data, Slack conversations, and other structured and unstructured data to create a single view of the customer. The platform is already processing 30 trillion transactions per month, and connecting and unifying 100 billion records every day. - Dataspace support in Profile Explorer app. See https://tinyurl.com/profile-explorer - Support new data-types: Phone, URL, Email and Percent. Salesforce’s native platform supports many complex data types such as currency but in Data Cloud, the platform only understood 4 data-types: Text, Number, Date and DateTime. Worked on supporting new data-types in 2 features: Data Transform (data prep recipe editor in Tableau CRM) & Data Actions. See https://tinyurl.com/data-prep-recipe & https://tinyurl.com/data-actions-and-targets - Actively worked customer investigations (including Sev1) in compliance with the SLAs - Working on company-wide high priority Gen AI foundational unstructured data service from scratch - retrieval engine, specifically semantic search, based on chunking and vector embedding to deliver trusted, coherent, contextual, and personalized responses grounded to Salesforce’s customers’ metadata and data - This generative AI feature will support any type of data including text, image, spatial and unstructured data and expandable to retrieval augmented generation (RAG) for grounding LLMs - This feature leverages Microsoft E5 embedding model, Milvus DB, Trino, Kafka, S3, EMR on EKS, DynamoDB, RDS, Apache Iceberg, Parquet and more cutting-edge technology
2022 - 2023
salesforce
Member Of Technical Staff, Industries Cloud
- Connect API enhancements: new attributes and record type changes in newer versions of IDR APIs. Connect is Salesforce's framework for developing APIs - Drove the entire discussions with the US Health Cloud team regarding lock-in plan for record type changes - Led the discussion for UI modularity for new components in IDR's UX Lo-Fi mocks - Data model changes for table support feature - Implemented the transaction logic in Intelligent Document Reader (IDR) - a long pending item under the Trust & Tech Debt bucket: When user saves template, data is stored in lot of entities. If some exception occurs in mid-way of saving, database will be in inconsistent state. Remediated the problem with the implementation - Developed scratch org support to readily onboard new customers on IDR - POCs on key-phrase extraction using AWS Comprehend, Query support using AWS Textract, and Salesforce Community support - Delivered the 3 invocable actions - the top asks from the Financial Services Cloud. Was appreciated by the GM & EVP of the cloud, PM, and managers alike. The actions are pluggable in Salesforce Flows on UI, Apex in Developer Console, exposed as REST endpoints, and available in OmniScript - Metadata support for newer fields in IDR data model. Salesforce customers rely a lot on metadata to build their custom applications and migrate the data from one org to another - Perf improvement in saving logic of IDR templates - Explored the Java Lucene library for NLP and Apache Tika for language detection to explore if dependency on AWS can be eliminated - Worked on investigations from customers like Eli Lilly and Cloudforia and patched back proper fixes within timelines. The investigation from Eli Lilly was subtle and in tight SLA. I found that the Java class mostly used by engineers for querying DB was not actually meant to be used in the UI-tier. I used and tested other classes thoroughly and unblocked the customer
2020 - 2022
salesforce
Associate Member Of Technical Staff, Industries Cloud
Industries Cloud offers tailored solutions for diverse sectors like healthcare, finance, manufacturing, and communications, addressing their distinct requirements through industry-specific offerings. Worked in two teams under the umbrella of Industries Einstein - the Metamind team and the Einstein Platform (EP) team. In the EP team, - worked on the CRM Analytics platform (FKA Einstein Discovery or Tableau CRM platform) - created training set recipes (the ELT framework of CRM Analytics) and UI enhancements for Visit Recommendation product In the Metamind team, - worked on the Intelligent Form Reader (IFR) product (based on AWS Textract). IFR is consumed by verticals like Health Cloud (HC), Financial Service Cloud (FSC) and Public Sector & has customers such as Johnson & Johnson and Ministry of Health, British Columbia - worked on the Sentiment Insights (FKA Sentiment Analysis) product (based on AWS Comprehend). Sentiment Insights is consumed by the Surveys team to detect polarity and emotions of customers - brought data residency in these features for the countries Australia, Canada, France, UK and Germany. Due to this work, Salesforce could onboard customers in these countries - one of the notable examples is the Health Ministry of British Columbia - developed Connect APIs for consuming clouds (Connect is Salesforce's framework to develop APIs) - fixed bugs and dependency test failures in Trust & Tech Debt - conduct spikes (POCs) Languages/Tools/Frameworks: Java, JavaScript, AWS APIs, Lightning Web Components (LWC), Aura Components, Apex, CRM Core Platform, CRM Analytics/Tableau CRM, JSON, IntelliJ IDEA, VS Code, Slack APIs, Heroku, Eclipse
2019 - 2019
fidelity
Machine Learning Engineering Intern
Engaged as an intern on the impactful project "OBI Server Log Analyzer & Health Prediction Using Machine Learning," where I played a pivotal role in predicting the health status of the Oracle Business Intelligence (OBI) server. Key Achievements: - Conducted extensive testing of various machine learning models, including Support Vector Machines (SVMs), Decision Trees, and ensemble learning methods such as Random Forests, to determine the most effective solution - Employed rigorous evaluation metrics to fine-tune and optimize the selected model for accurate health predictions Technical Skills: - Utilizing a range of tools, and frameworks, including Numpy, Pandas, Matplotlib, Seaborn, Re, Tkinter, Win32com.client, Jupyter Notebook with Conda environment, and PyCharm Community Edition Contributions: - Demonstrated expertise in data analysis and visualization, ensuring a comprehensive understanding of the OBI server's health - Successfully implemented the chosen machine learning model, enhancing the overall efficiency and reliability of health predictions for the OBI server
Experience
127 Skills
Algorithms
Amazon Elastic MapReduce (EMR)
Amazon Relational Database Service (RDS)
Amazon S3
Amazon Web Services (AWS)
analytics
apache
Apache Spark
Application Programming Interfaces (API)
Artificial Intelligence (AI)
Automation
Bazel
business intelligence
Business Intelligence (BI)
C++
C++
Cascading Style Sheets (CSS)
Cascading Style Sheets (CSS)
Computer Graphics
CRM
Customer Relationship Management (CRM)
Customer Relationship Management (CRM)
Data Processing
Data Science
Data Scientist
Data Structures
Data Structures
Decision Trees
Deep Learning
Design
Digital Image Processing
Eclipse
Education
Extract, Transform, Load (ETL)
financial services
Generative AI
Generative AI
Git
Git
GitHub
GitHub
Graphics
Healthcare
Helix Swarm
Heroku
High-Level Design
HTML
html
Image Processing
Integration
investments
Java
Java
JavaScript
Javascript
Jest
JUnit
JUnit
Jupyter
Kafka
LaTeX
LaTeX
Lightning Web Components
Linux
linux
Logic and Reasoning
Low-Level Design
Lucene
Machine Learning
Machine Learning (ML)
marketing
Matplotlib
Microsoft Office
Mobile
Mobile Devices
MySQL
MySQL
Natural Language Processing (NLP)
Neural Networks
NumPy
Object-Oriented Programming (OOP)
Object-Oriented Programming (OOP)
OOP
Operating Systems
Pandas
Pandas (Software)
Perforce
Perforce
Postman
Postman API
Problem solving
Product Management
product manager
Pycharm
Python
Python (Programming Language)
Representational State Transfer (REST)
REST
REST APIs
Sales
Salesforce
Salesforce.com
Salesforce.com Administration
Salesforce.com Development
Seaborn
Search
security
Sentiment Analysis
Software Design Patterns
Software Engineer
Splunk
Spring
Spring
SQL
System Design
Tableau
Technical Content Writing
test
testing
Tkinter
Ubuntu
ui
User Experience (UX)
Volunteering
Web
Web Development
xUnit.js
Education
2016 - 2020
nit jaipur malaviya national institute of technology jaipur
B.Tech.
Computer Science and Engineering
