Nadeem Riaz Email & Phone Number
@johndeere.com
7 phones found area 309, 515, 800, and 217
LinkedIn matched
Who is Nadeem Riaz? Overview
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Nadeem Riaz is listed as Sr. ML and DL Lead at John Deere, a with 50659 employees, based in Bettendorf, Iowa, United States. AeroLeads shows a work email signal at johndeere.com, phone signal with area code 309, 515, 800, 217, and a matched LinkedIn profile for Nadeem Riaz.
Nadeem Riaz previously worked as Sr. ML/DL Lead at John Deere and Perception System Archtiect at John Deere. Nadeem Riaz studied at University Of Iowa - Henry B. Tippie College Of Business.
Email format at John Deere
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About Nadeem Riaz
Creative individual and technology leader in areas of Computer Vision, Machine Learning, Telematics, IoT, Cloud and end to end eco systems. Designing technology solutions that would meet business needs to be a market leader in the respective industry. Problem solver for the project team to unblock and resolve issues with innovative solutions and partnerships. Lead global teams and individuals with diverse backgrounds to achieve business objectives across the development community in software and hardware solutions. Mentor and coach employees to help them be successful in their goals. Work with suppliers to develop products that would meet set goals of delivering distinguishing capability in the market. Design strategies to improve customer experience in the markets using technology solutions.Products Concept to Delivered: • Obstacle Intelligence Solutions | John Deere US (https://www.deere.com/en/technology-products/precision-construction-technology/obstacle-intelligence/)• Guidance | Machine Sync | John Deere US (https://www.deere.com/en/technology-products/precision-ag-technology/guidance/machine-sync/)• JDE introduces MTG 4G LTE telematics hardware (https://www.deere.com/en/electronics/news-room/news-articles/mtg4g-lte-telematics/)• John Deere introduces SeedStar™ Mobile for improving planter performance (https://hoards.com/article-11754-john-deere-introduces-seedstar-mobile-for-improving-planter-performance.html)• Data Management | Connect Mobile | John Deere US (https://www.deere.com/en/technology-products/precision-ag-technology/data-management/connect-mobile/)• Data Management | Operations Center | John Deere US (https://www.deere.com/en/technology-products/precision-ag-technology/data-management/operations-center/)• John Deere Wins FCC CBRS Auction to Deploy 5G in Manufacturing Facilities (https://www.deere.com/en/news/all-news/2020nov18-john-deere-wins-fcc-cbrs-auction/)• Remote Display Access | John Deere US (https://www.deere.com/en/parts-and-service/connected-support/agriculture-connected-support/remote-display-access/)• JDLink™ Connect system with Wireless Data Transfer (WDT) in John Deere Operations Center (http://salesmanual.deere.com/sales/salesmanual/en_NA/ams/2017/feature/my_jd/jdlink_connect_wdt_ops.html)• Expert Alerts | John Deere US (https://www.deere.com/en/parts-and-service/connected-support/agriculture-connected-support/expert-alerts/)
Listed skills include Network Architecture, Embedded Systems, Wireless Networking, Cisco Technologies, and 44 others.
Nadeem Riaz's current company
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Nadeem Riaz work experience
A career timeline built from the work history available for this profile.
Sr. Ml/Dl Lead
CurrentDevelop solution for making job site safer using operator assist features. Use sensor fusion to build reliable solution. Use CVML technologies to deliver obstacle avoidance solution with increasing level of automation. Use PyTorch to develop model for edge compute constrained devices to run inference on the images and depth perceived by the machine. Develop quantization techniques to make inference faster. Architect complete pipeline from data collection to labeling and ML training to quantization and then deployment to the target device. Optimize ML training Pipeline and Performance Error analysis to prepare data collection plans. Run multiple experiments to find avenues for improvement. Resolve issues with software and hardware performance. Deliver the first release to market in December 2022. Fix issues and blockers and develop model training quantization pipelines to deliver MVP to customers on time. ML Ops cost/budget management to do more with less.
Perception System Archtiect
Using perception sensors, AI/Machine Learning algorithms, robotics, IOT and advanced connectivity solutions like 5G to deliver highly automated and autonomous safe solutions for our customers and partners
Technology Architect
Prospect strategy for IOT, 5G, Block Chain, Cloud/Edge Cloud and AI/Deep Learning to enhance products and services in the area of agriculture, construction, financial and manufacturing for John Deere. Review major trends in the industry for improving business outcomes with technologies.
Enterprise Architect
Develop strategies for big data ingestion for cloud based applications in the Agriculture and Construction industries. Lead teams of technology solution architects and systems engineers to create products that meet business needs and produce great customer experience. Work with outside partners and suppliers to develop RFP/RFI to create capabilities that would increase business opportunities for the company and enhance customer experience. Develop embedded network and computer systems that would control and drive complex machines using M2M communications patterns. Utilize Telematics systems to provide remote diagnostics alerts and monitoring of machines and vehicles also create strategies for over the air updates. Create intelligent solution to improve customer experience to create brand loyalty and repeat business. Use scaled agile framework to deliver applications and products on time and on budget. Conflict resolution to create high performing global teams to achieve business objectives. Scalable web technologies for telematics data ingestion and M2M with cloud and Infield. Middleware and messaging technologies MQTT and DDS/DDSI. Internet of things with sensor communications. PaaS, SaaS and IaaS solutions POC and proposals. Precision Agriculture and Construction products relying GNSS technologies.
Senior Robotic Communications Architect - Embedded
Embedded V2V and V2I Networking for off Road Vehicles. Telematics Solutions for off Road Vehicles and Machines. Highly automated machines using M2M design pattern via MANET and Cloud. Complete understanding of the 802.11 standard and creating spec for proprietary modification to achieve business goals for creating MANET for highly reliable wireless communications to support autonomous control of vehicle drive functions. Using principles of quality of service and Internet of things to create unique M2M solution via adhoc communications. Create sensor communications networks using 802.15.4 spec. Evaluate and develop strategies for future network roadmaps for on vehicle networks (CAN, FlexRay, Ethernet and two wire Ethernet). Using unlicensed spectrum to create applications for sensors and communications systems including whitespace spectrum. Ad hoc networks for vehicles. Wireless 802.11 meshing and Iot middleware DDS/DDSI. Cloud based M2M. Leading groups of systems engineer and developers and technology solution architect to create innovative products where communications at the heart. Components of ROS as inspiration.
Senior Systems Analyst
Create solutions for enterprise network management using opensource and commercial tools. Create in house product to tie in data from multiple sources in one one single platform. Create scalable web based solution to monitor global network with tie in to operations center. Create an application that used web2.0 concepts to tie in 40 node solution with synced meta data and dispersed operational to create solution to manage more the 6000 network switches, routers and firewalls. Build automation to manage WAN links. Creat processes to acceptance test links to make sure they were up to spec. Used ixia products for network testing. Global Network Management and Performance Monitoring based on FCAPS Principles. Built Complete Ground Up Open Source based Network Management, Devicej Inventory Management System and Network Performance Management Systems. Built In House Customized Data Circuit and Device Lifecycle Workflow Management Systems.Monitoring of devices via SNMP. Cisco ACS. Ciscoworks, concord ehealth, tibco enterprise bus. Database and web technologies. Agile development.
Technical Consultant
Worked at customer site with VSAT based dealer network migration to web based applications. Network security for dealer network integration with corporate network. First corporate dmz establishment. Migration from cisco based ACL to Firewall-1 based firewall. Automated network device (cisco) provisioning and configuration. Cisco IOS based dial backup to VSAT network. Shiva based dial-in modem bank. Web application acceleration over satellite networks. Web application performance improvements design guidelines for developers. TCP/IP protocol accelerations. Setup and administration of Web proxies and protocol gateways with Netscape and TIS toolkit open-source software. Automatic PAC file generation using servlets in Java. PHP integration into web pages to track hits. Weblog reporting system developed using log processing and archiving in mssql server and then using crystal enterprise to publish reports. Setup and administration of crystal enterprise servers. Network performance reporting using Network Flight Recorder and then implementation of cisco Netflix in the enterprise to get top talkers and capacity planning and latter used DDOS detection of Nimda and SQL slammer viruses. Latter usage based billing system based opensource IPMeter software which was latter converted use netflow data. Netflow data ingestion using quad core raid 10 system from InMon called traffic server which still in use today. Created network provisioning workflow and inventory tracking system and used crystal enterprise to publish circuit inventory and data system. Created IP address provisioning system using Java server technologies. Implemented Http2.0 and Http compression to enhance web application performance over slow links.
Student Assistant
Develop Manage Maintain Patient Medical Databases. Muscle Detection System Operation and Maintenance. Endoscope Light Source System Maintenance.
Colleagues at John Deere
Other employees you can reach at johndeere.com. View company contacts for 50659 employees →
Vagner Vieira
Colleague at John DeereGreater Campinas, Brazil
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Perttu Auvinen
Colleague at John DeereTampere, Pirkanmaa, Finland
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Sandi Brennan
Colleague at John DeereWaterloo, Iowa, United States
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Randy Schmidt
Colleague at John DeereCedar Falls, Iowa, United States
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Ashley Pratt
Colleague at John DeereFuquay-Varina, North Carolina, United States
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Chris Sobolik
Colleague at John DeereCedar Falls, Iowa, United States
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JN
James Nordhus
Colleague at John DeereWaterloo, Iowa, United States
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Daniel Bocci
Colleague at John DeereRoselle, Illinois, United States
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Heso Ba
Colleague at John DeereGreater Kassel Area, Germany
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Johnathan Doe
Colleague at John DeereSan Antonio, Texas, United States
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Nadeem Riaz education
Education record
Bs, Electrical Engineering
Frequently asked questions about Nadeem Riaz
Quick answers generated from the profile data available on this page.
What company does Nadeem Riaz work for?
Nadeem Riaz works for John Deere.
What is Nadeem Riaz's role at John Deere?
Nadeem Riaz is listed as Sr. ML and DL Lead at John Deere.
What is Nadeem Riaz's email address?
AeroLeads has found 3 work email signals at @johndeere.com for Nadeem Riaz at John Deere.
What is Nadeem Riaz's phone number?
AeroLeads has found 7 phone signal(s) with area code 309, 515, 800, 217 for Nadeem Riaz at John Deere.
Where is Nadeem Riaz based?
Nadeem Riaz is based in Bettendorf, Iowa, United States while working with John Deere.
What companies has Nadeem Riaz worked for?
Nadeem Riaz has worked for John Deere, Renaissance Worldwide, Inc, and University Of Kansas.
Who are Nadeem Riaz's colleagues at John Deere?
Nadeem Riaz's colleagues at John Deere include Vagner Vieira, Perttu Auvinen, Sandi Brennan, Randy Schmidt, and Ashley Pratt.
How can I contact Nadeem Riaz?
You can use AeroLeads to view verified contact signals for Nadeem Riaz at John Deere, including work email, phone, and LinkedIn data when available.
What schools did Nadeem Riaz attend?
Nadeem Riaz studied at University Of Iowa - Henry B. Tippie College Of Business.
What skills is Nadeem Riaz known for?
Nadeem Riaz is listed with skills including Network Architecture, Embedded Systems, Wireless Networking, Cisco Technologies, Linux, Cloud Computing, Agile Methodologies, and Product Development.
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