Rini Jain has a Masters in Computer Science from USC and a Bachelors in Computer Science Engineering. She has experience developing applications using languages like Java, C#, PHP, and Python. Some of her projects include developing a weather forecasting application, a stock trading application that calculates chargebacks, and a blog application built with Ruby on Rails. She has worked as a Programmer Analyst and interned as a Business Analyst and Data Analyst. Currently, she is an Event Organizer for the Trojan Global Network at USC.
Making machine learning model deployment boring - Big Data Expo 2019webwinkelvakdag
The free lunch for machine learning is over. Organizations are quickly ramping up their abilities to automate and professionalize their machine learning processes and infrastructure. As a consequence organizational goals, processes and requirements put an increasing burden on teams to put machine learning models in production. We believe much of this burden relates to engineering issues, which with proper abstractions can be greatly reduced for product teams. In this presentation we will talk about the organizational context of ING and the design our Machine Learning Platform. In the first part we will sketch some organizational context and the requirements it brings. Next, we will picture the kind of use cases and user journey we have in mind. Finally, we will present how these considerations led the platform design we are currently deploying.
Rahul pandey 4 years experienced Full StackRahul Pandey
I'm currently pursuing Masters at NEU course MSCS. I'm looking for internship positions starting in summer 2020. My expected graduation date is May 2021.
Making machine learning model deployment boring - Big Data Expo 2019webwinkelvakdag
The free lunch for machine learning is over. Organizations are quickly ramping up their abilities to automate and professionalize their machine learning processes and infrastructure. As a consequence organizational goals, processes and requirements put an increasing burden on teams to put machine learning models in production. We believe much of this burden relates to engineering issues, which with proper abstractions can be greatly reduced for product teams. In this presentation we will talk about the organizational context of ING and the design our Machine Learning Platform. In the first part we will sketch some organizational context and the requirements it brings. Next, we will picture the kind of use cases and user journey we have in mind. Finally, we will present how these considerations led the platform design we are currently deploying.
Rahul pandey 4 years experienced Full StackRahul Pandey
I'm currently pursuing Masters at NEU course MSCS. I'm looking for internship positions starting in summer 2020. My expected graduation date is May 2021.
Rahul pandey 4 years experienced Full StackRahul Pandey
I'm currently pursuing Masters at NEU course MSCS. I'm looking for internship positions starting in summer 2020. My expected graduation date is May 2021.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
The Benefits and Techniques of Trenchless Pipe Repair.pdf
Resume
1. Rini Jain
2717 Orchard Avenue, Los Angeles +1(213)-675-3981|rinijain@usc.edu
LinkedIn: https://w w w.linkedin.com/in/rini-jain-68095110a Github:https://github.com/Rinijain7
EDUCATION
Masters of Science in Computer Science May 2017
University of Southern California,Los Angeles, CA
Bachelor of Technology, Computer Science Engineering Jun 2014
Uttar Pradesh Technical University, UP,India
TECHNICAL SKILLS
Technical Language: Java, C#, C, PHP, Python
Web Technologies: HTML5, CSS3, JavaScript,jQuery,AJAX, Bootstrap, Ruby on Rails
Data Analysis: Apache Tika
WORK EXPERIENCE
Cognizant Technology Solutions Jan 2015 - May 2015
Programmer Analyst (Domain- Bank and Financial Services)
Developed a project- “Charge Back Calculation” using .Net technologies and SQL which calculated the chargeback for any
operation done by the customer
PROJECT EXPERIENCE
MIME Type Analysis
Performed MIME diversity analysis of TREC-DD-Polar dataset
Computed and analysed byte-based fingerprints of the data via BFA, BFD, BFC and FHT
Built interactive visualizations that display byte histograms using D3 technology (d3.js)
Augmented and enriched Tika’s MIME database with new file types
Weather Forecast
Android Application http://bit.ly/1Kg2fcS: Designed an application interface to perform Weather forecast
search on android operating systems and post details to Facebook
Web Application http://bit.ly/1nDACAs: Developed an interface to perform Weather forecast search and post
details to Facebook. Gathered hands-on experience in Amazon Cloud Computing and Bootstrap
Forecast Search http://bit.ly/23yJ04z: Performed Server Side Scripting using PHP and Google Geocode and
Forecast.io API’s. Parsed data using XML and JSON parser in PHP
Charge Back Calculation
Created an interface to perform calculation of the chargeback for buyingor selling of stocks for every customer.
Developed the various stored procedures in SQL and 3-Tier architecture in ASP.NET
Improvised features like: Captcha for security, Customers can easily buy or sell stocks and get the chargeback
valueinstantly,In caseof insufficientbalance in customer’s bank account, it does not allow the customer to buy
the stocks and also calculates the charge back as a negative value.
Blog Web Application http://bit.ly/1PZjGLp
Developed a web application on Ruby on Rails for creating Blog.
Improvised features like: Customers can easily read and write blogs on any platform, modify blogs, count the
number of comments on each blog
INTERNSHIPS
KaBloom, Bangalore, India Jun 2014 – Nov 2014
Business Analyst Intern
Conducted research to gather data, used Analytics to predict customer purchasing patterns
Communicated business requirements to technical team and removed gaps in understanding between business and
technical team
EDP Centre, Northern Indian Railways, UP, India Jun2013 - Jul 2013
Data Analyst Intern
Studied the technique of the preparation of computerized payroll for Railway officers
LEADERSHIP
Event Organizer, Trojan Global Network, USC Sep 2015 - Present
Coordinator, Computer Science and Engineering Department Student Club (CYBORGS), KIET, UP, India Aug 2012 – May 2014
