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About

Priyank Mohan is an accomplished Senior Technical Product Manager with extensive experience in building and launching impactful technology solutions at Amazon. Currently based in Sunnyvale, California, he is responsible for developing products that enhance the experience of employees departing the company, including the successful launch of a new self-service appeals solution for North American Amazon Operations employees, ensuring fairness and consistency in termination contestation. Previously, he spearheaded the creation of a unified portal from the ground up for Amazon’s 15,000 Global HR professionals, streamlining employee issue resolution through automation, self-service, and real-time information access. His tenure as Manager of Technical Product Management saw him leading time capture solutions for Amazon’s global workforce, driving automation, fraud prevention, and cost reduction efforts. Before Amazon, Priyank held pivotal roles at PwC, leading transformation programs for HCM SaaS providers, healthcare firms, and technology-driven benchmarking tools. At Accenture, he managed Quality Engineering teams, ensuring agile methodologies optimized supplier portals in retail and validated SAP rollouts in the pharmaceutical and consumer goods sectors. His early career includes roles at Nokia Siemens Networks, where he built an award-winning automated analytics tool for voice traffic performance, and SQA Inc., where he developed an automated regression testing suite for an edtech startup. With an MS in Electrical Engineering from San José State University and a BE from Manipal Institute of Technology, Priyank combines strong technical expertise with strategic vision. Certified in Agile and Blockchain, he has a proven track record in program management, data analytics, and product strategy. His key achievements include reducing pay defects at Amazon, influencing cross-functional roadmaps for automation, and scaling HR solutions to global operations. His ability to drive technological innovation, optimize enterprise workflows, and enhance employee experiences positions him as a leader in the field of product management.

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Skills

Experience

Senior Technical Product Manager

Amazon, Sunnyvale

May-2020 to Present

Education

San Jose State University

M.SC in Electrical Engineering- Networking

Passout Year: 2009

Publication

OPTIMIZING DATA FRESHNESS AND SCALABILITY IN REAL-TIME STREAMING PIPELINES WITH APACHE FLINK

In the era of big data, organizations face the challenge of processing and analyzing vast streams of information in realtime. Apache Flink has emerged as a leading platform for building scal...

Peer-Reviewed Articles

COMPARATIVE ANALYSIS OF REVERSE IMAGE SEARCH ENGINES USING DIVERSE IMAGE SETS

Eight well-known reverse image search engines—Google, Bing, TinEye, Yandex, Baidu, Getty Images, Shutterstock, and Alamy—are compared in this study based on several different factors. Language support, speed, accuracy, facial recognition, geographic coverage, cropping feature, number of images retrieved, ease of use, mobile app availability, privacy measures, input options, supported file formats, search methods, and additional features are some of these requirements. The study outlines each engine's advantages and disadvantages. Both Google and Bing are very user-friendly, fast, and support multiple languages. However, Google is more accurate and has features like facial recognition and SafeSearch. Yandex offers comparable functionality but targets the Russian market. TinEye promotes privacy and collects very little data, however, it has trouble with unique photos and doesn't have many sophisticated capabilities. Baidu offers little privacy and openness and caters mostly to the Chinese market. Although Shutterstock and Getty Images have extensive privacy policies, their accuracy is not as high. Alamy has a reduced precision of retrieval but complies with data standards. According to the analysis, each engine serves a particular purpose. Google or Bing may be preferred by users looking for smart image detection and user-friendliness. TinEye might work for users who are concerned about their privacy. In the end, the decision is based on personal preferences and search objectives.

Projects

Sep-2008 to Jan-2009

Emulation of Enterprise telephony

Emulation of Enterprise telephony using an IPPBX and a Skype Gateway. The highlights of our project were as follows: • Configured the Asterisk IPPBX to add trunks, sip extensions, outbound/inbound routes. • Performed various call tests between the Internal SIP phones, and external Skype users via the PBX and the Gateway, towards the successful functioning of our setup. • Prepared a Course Lab Manual with our experiments to be used by the students in future
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Certificates

Issued : Apr 2019
  • dott image By : Project Managem...
Agile Certified Practitioner ACP

Scholar9 Profile ID

S9-102024-0406194

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