Prithvi Shirke

Product Engineer

Tempe, Arizona, United States3 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Published research at IEEE ITSC 2024.
Led integration of services at Telstra.
Specialized in AI and machine learning applications.

Stackforce AI infers this person is a Machine Learning and AI specialist with experience in SaaS and Fintech industries.

Contact

Skills

Core Skills

Artificial IntelligenceMachine LearningData EngineeringCustomer ServiceSoftware DevelopmentWeb DevelopmentComputer Vision

Other Skills

Reinforcement LearningLarge Language ModelsFeature ExtractionFeature EngineeringPublic SpeakingPresentation SkillsCommunicationCollaborative LeadershipCash HandlingTeamworkIT ManagementDistributed SystemsKotlinTroubleshootingMySQL

About

Hi, I’m Prithvi Shirke, a Master’s student in Computer Science at Arizona State University, graduating in May 2025. I’m passionate about AI, machine learning, and computer vision, with a strong focus on applying these technologies to real-world challenges. Currently, I’m working as a Research Assistant under Professor Hua Wei, where I’m involved in intelligent transportation systems, collaborating with the Arizona Department of Transportation. My work has been recognized with a published paper at IEEE ITSC 2024. With three years of experience spanning software development, AI/ML, and research, I’m excited to pursue full-time opportunities starting in January 2025. Outside of work, I enjoy trekking, hitting the gym, and running to stay balanced and energized.

Experience

3 yrs 2 mos

Total Experience

1 yr

Average Tenure

1 yr

Current Experience

Dassault systèmes

SOLIDWORKS Data Apps AI Internship

Mar 2025 – May 2025 · 2 mos · Waltham, Massachusetts, United States · On-site

Arizona state university

2 roles

Research Assistant

Promoted

Jan 2024 – Mar 2025 · 1 yr 2 mos · Tempe, Arizona, United States · On-site

I conduct research under Prof. Hua Wei, focusing on Intelligent Transportation systems, leveraging Computer Vision, Reinforcement Learning, and Large Language Models.

Computer VisionReinforcement LearningLarge Language ModelsArtificial IntelligenceMachine Learning

Graduate Services Assistant - Grader

Jan 2024 – Dec 2024 · 11 mos · Tempe, Arizona, United States · On-site

CSE 572 (Data Mining) - Spring 2024 and Fall 2024 Session C

Data EngineeringFeature ExtractionMachine LearningFeature EngineeringPublic SpeakingPresentation Skills

Starbucks

Student Worker Barista

Aug 2023 – Dec 2023 · 4 mos · Tempe, Arizona, United States · On-site

CommunicationCustomer ServiceCollaborative LeadershipCash HandlingTeamworkPresentation Skills

Telstra

Associate Software Engineer

Jul 2022 – Jul 2023 · 1 yr · Pune, Maharashtra, India

During my tenure, I led the integration of the "Boost" service into the 'MyTelstra' app, leveraging React, Kotlin, and MySQL. I actively monitored user behavior through application logs, employed fraud prevention measures for eSIM transfers, and ensured reliability through comprehensive testing, culminating in the successful deployment of code to the production environment. My contributions underscored my commitment to enhancing functionality, security, and user experience.

IT ManagementDistributed SystemsKotlinTroubleshootingMySQLAPI Documentation+13

Airpix.io

2 roles

AI & ML Developer Intern

Feb 2021 – Jul 2021 · 5 mos · Mumbai, Maharashtra, India

My internship encompassed applying machine learning, deep learning, and computer vision techniques to real-world challenges. I led end-to-end projects, molding them into solutions integrated with the company's analytics dashboard for seamless client utilization. Notable projects spanned vehicle detection, traffic monitoring, face recognition, pose estimation, and bank security systems. Proficiency in Python, OpenCV, Numpy, and deep learning frameworks like TensorFlow, Keras, and PyTorch was paramount. I specialized in optimizing models for Jetson edge devices, particularly Jetson Xavier AGX/NX, working closely with Mr. Aniket Tatipamula's guidance.

Distributed SystemsAlgorithm DevelopmentCritical ThinkingDebuggingProblem SolvingTechnology Management+3

Computer Vision and Edge Computing Intern

Jun 2020 – Sep 2020 · 3 mos · Mumbai, Maharashtra, India

The Bank Safety Security Systems project aimed to enhance bank security by employing machine learning on real-time video streams from RTSP-based security cameras. The objective was to autonomously detect and alert bank authorities of potential threats, ensuring a safe environment without requiring constant manual monitoring. The project encompassed multiple tasks: detecting items like weapons, masks, and coverings, identifying unusual activities (running, bending, falling, etc.), and preventing unauthorized access through indoor RTSP cameras. This was accomplished using frameworks and algorithms such as OpenCV, Python, YOLO-V3, OpenPose, AlphaPose, and LSTMs. The integrated approach provided advanced surveillance capabilities for improved security management within the bank premises.

Code ReviewProblem SolvingTechnology ManagementData Structures