Shaunak Joshi

AI Researcher

Brisbane, Queensland, Australia18 yrs 6 mos experience

Key Highlights

  • Expert in AI and machine learning applications.
  • Proven track record in software development for networking.
  • Strong background in telecommunications and signal processing.
Stackforce AI infers this person is a Telecommunications and Networking expert with a strong focus on AI and software development.

Contact

Skills

Core Skills

Machine Learning

Other Skills

AlgorithmsWiFiWirelessDigital Signal ProcessingC++MatlabSignal ProcessingPythonTestingImage ProcessingProgrammingCLaTeXPerlEmbedded Systems

About

Problem solver, engineer, developer with a deep-rooted interest in software, web development, AI, machine learning, and signal processing.

Experience

18 yrs 6 mos
Total Experience
3 yrs
Average Tenure
4 mos
Current Experience

Nvidia

Senior Staff Engineer, AI Research

Feb 2026Present · 4 mos

Groq

AI Researcher/Engineer

Jul 2025Feb 2026 · 7 mos

Cash app

AI Scientist, AI Research & Development

Nov 2022Jun 2025 · 2 yrs 7 mos

Amazon

2 roles

Senior Software Development Engineer

Dec 2018Nov 2022 · 3 yrs 11 mos

  • Develop software to improve the customer experience of grocery pickup/delivery.
Machine Learning

Software Developer

Jun 2015Nov 2022 · 7 yrs 5 mos

  • I worked in a team that models Amazon's complex network in order to prevent large scale failures. Also, worked on a team to deploy software changes to Amazon network devices at large scale.

Cisco

2 roles

Senior Software Engineer

Aug 2011May 2015 · 3 yrs 9 mos · San Jose, CA

  • Lead Access Point software development engineer on time-based solutions to facilitate low-latency indoor, Wi-Fi client location {2 US patents}
  • Access Point software team’s lead representative at the Wi-Fi Alliance (WFA) contributing to industry circulated Marketing Requirements Documents and Wi-Fi handset/infrastructure interoperability decisions on Network Power Save (802.11v, 802.11k features), Wireless Network Management (802.11k) and Multiband Operations. Involves closely working with product managers and strategic initiatives/CTO office for feature selection and Cisco Access Point interoperability with handset and chipset vendors
  • Test engineering for WFA interoperability testing at WFA Santa Clara Labs for Network Power Save (802.11v) features for plugfests and certification•Developed software to facilitate dual-band scanning and monitoring of the RF environment foran external dedicated scanning radio module used for Cisco Enterprise WLAN products (3600 series Access Point and WLAN controller). Software will allow for non-Wi-Fi interfering device identification and measuring characteristics such as noise, interference and general air quality

Research Intern

Jul 2010Sep 2010 · 2 mos · San Jose, CA

  • Developed a simulation tool using NS-2 to evaluate the performance of in-band and out-of-band cellular relays in UMTS/3G cellular networks

Venturi wireless

Research Intern

Jun 2009Sep 2009 · 3 mos · Sunnyvale, CA

  • Developed a script (ASP/Perl) to collect performance related data for the analysis of sources of packet loss in cellular networks
  • Profiled the power consumption on 3G handsets and characterized power savings provided by Venturi’s mobile client on the Nokia Symbian OS

Ucla henry samueli school of engineering and applied science

Graduate Student Researcher (Ph.D. Candidate)

Sep 2007Jul 2011 · 3 yrs 10 mos · University of California, Los Angeles

  • Leading development of a Markov-based analytical model to evaluate performance metrics in a cellular load balancing system. This work has been extended to include a combined analysis of Opportunistic Spectrum Access procedures with cellular load balancing
  • . Contributed in creating a dynamic simulation environment to model and evaluate the network per- formance of femtocells in WCDMA/HSPA networks
  • . Characterized interfering transmitters with the use of spectrum sensing techniques and RF finger- printing
  • . Helped develop a probabilistic approach to determine the number of frequency hopping interferers in a specific band of interest for spectrum
  • . Developed a Markov model to assess the performance differences between adaptive and non-adaptive channel bonding in orthogonal access schemes
  • Areas of interest include: spectrum sensing, digital speech processing, digital image processing, RF fingerprinting, load balancing, modeling and simulation of wireless networks

Education

UCLA

Doctor of Philosophy (PhD)

Jan 2007Jan 2011

UCLA

Master's Degree

Jan 2007Jan 2008

North Carolina State University

Bachelor's Degree — Computer Engineering

Jan 2003Jan 2007

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