Arushi Garg

Product Manager

India1 yr 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 7 research papers published in AI and NLP.
  • Research Excellence Award from the Education Minister.
  • Founder of AWS Cloud Club promoting cloud computing.
Stackforce AI infers this person is a Full-Stack Developer with a strong focus on AI and cloud computing in the SaaS industry.

Contact

Skills

Core Skills

Backend DevelopmentApi IntegrationProject ManagementMentorshipResearchMachine LearningCloud ComputingCommunity Building

Other Skills

Application Programming Interfaces (API)JavaKubernetesSQLBackApache KafkaDocker ProductsLeadershipManagementOpen-Source DevelopmentCommunicationPython (Programming Language)Deep LearningLarge Language Models (LLM)Research Skills

About

Contact me- gargarushi2002@gmail.com Hi, I’m Arushi Garg 👋 A Software Development Engineer (SDE-1) at Adobe, working in the AdCloud team under the DALP (Digital Advertising, Learning & Publishing) Business Unit. I primarily work as a Full-Stack Developer, building scalable systems, APIs, and data-driven solutions at scale. I graduated from Indira Gandhi Delhi Technical University for Women (IGDTUW) in 2024, with a B.Tech in Electronics & Communication Engineering and a CGPA of 9.02, combining a strong engineering foundation with real-world software development experience. I have a deep interest in Artificial Intelligence, Deep Learning, and applied research. Over the years, I’ve worked on multiple AI-driven projects and have 7 research papers published with IEEE and Springer, spanning AI, NLP, sentiment analysis, and lung cancer classification. I was honored with a Research Excellence Award, presented by the Education Minister, for my contributions to research and innovation. Beyond my professional work, I genuinely enjoy mentoring students, connecting with the tech community, speaking at conferences, and creating technical content to share practical learnings around AI, cloud computing, full-stack development, research, and career growth. 📢 Let’s Connect! I’m always eager to learn, collaborate, and contribute to projects that push the boundaries of technology. Feel free to reach out for discussions on AI research, cloud computing, backend & full-stack development, open source, or just a friendly tech chat 🚀

Experience

1 yr 10 mos
Total Experience
1 yr 10 mos
Average Tenure
1 yr 10 mos
Current Experience

Adobe

3 roles

MTS- 2

Promoted

Jan 2026Present · 4 mos

MTS- 1

Jul 2024Jan 2026 · 1 yr 6 mos

  • Worked on the Performance Insights Project in the DSP team in Adobe Advertising Org. You can know more about this project here- https://experienceleague.adobe.com/en/docs/advertising/dsp/campaign-management/insights/insights-about
  • Contributed on both the Backend as well as Front end sides.

Winter product intern

Jan 2024Jul 2024 · 6 mos

  • As a Winter Intern at Adobe, I am part of the DALP team, primarily focusing on backend tasks and working with various APIs. My responsibilities include writing efficient code, troubleshooting issues, and ensuring seamless integration of APIs. I utilize tools such as Kubernetes for container orchestration, Kafka for stream processing, Bazel for build automation, Postman for API testing, and MariaDB for database management. This role allows me to contribute to the enhancement and optimization of backend systems, collaborating closely with my team to deliver robust and scalable solutions.
Application Programming Interfaces (API)JavaKubernetesSQLBackApache Kafka+3

Girlscript summer of code

Program Manager

Apr 2024Aug 2024 · 4 mos · Remote

  • As a Program Manager at GSSoC 2024, I oversee the planning, execution, and success of various projects, ensuring effective collaboration and mentorship among participants. My role involves managing timelines, resources, and communication, as well as providing guidance and support to help teams achieve their goals and foster a productive and innovative environment.
LeadershipManagementOpen-Source DevelopmentCommunicationProject ManagementMentorship

Tutort academy

Data Science TA

Nov 2023Jan 2024 · 2 mos · Delhi, India · Remote

  • Solved Data science and AI related doubts of 50+ students

Intel corporation

AI and ML Mentor

Nov 2023Nov 2023 · 0 mo · Ahmedabad, Gujarat, India · On-site

  • Mentoring AI-based project ideas proposed to convert them into implementable products/solutions and present them at national showcases.

Adobe

Product intern

May 2023Aug 2023 · 3 mos · Noida · On-site

  • Part of DALP Business Unit and Developed Ad Requester Workflow For IOS and Android App using TubeMogul API. The Mobile App supports various MRAID ad types, workflows, and SDKs, all in one place to integrate and test. Used Charles Proxy to get the API and created an OkHTTP client to get the response.

Amazon web services (aws)

AWS Cloud Club Captain

Mar 2023Mar 2024 · 1 yr · Delhi, India · On-site

  • As the Founder and Cloud Captain at AWS Cloud Club IGDTUW, I was selected among the first 50 Cloud Captains globally. I founded the club at my university to promote cloud computing knowledge and have organized over 12 sessions throughout the year. These sessions aimed to educate students on various cloud computing technologies and best practices, fostering a community of cloud enthusiasts and empowering members with the skills needed for cloud-based careers.
Amazon Web Services (AWS)LeadershipManagementCloud ComputingCommunity Building

Intel corporation

AI and ML Mentor

Sep 2022Sep 2022 · 0 mo · India

  • Mentor AI-based projects to convert them into implementable products/ solutions and present them at national showcases.

Google developer student clubs - indira gandhi delhi technical university for women

AI/ ML/ DL Circle Manager

Aug 2022Apr 2023 · 8 mos · Delhi, India

Indira gandhi delhi technical university for women

Research Internship

Feb 2022Apr 2024 · 2 yrs 2 mos · Delhi · On-site

  • As a Research Intern at IGDTUW, I conducted a comprehensive analysis of methodologies used in lung cancer classification. I collaborated on the development of a transfer learning-based lung cancer classification framework, achieving 84.16% accuracy. I co-developed a VGG16-based classifier that integrated transfer learning and data augmentation strategies to enhance diagnostic accuracy. Additionally, I engineered a pioneering LSTM-based Lung Nodule Classifier that achieved 86.98% accuracy in identifying malignant lung nodules. My research efforts resulted in the publication of four research papers in IEEE conferences, focusing on medical imaging and machine learning advancements.
Python (Programming Language)Machine LearningDeep LearningLarge Language Models (LLM)Research SkillsClinical Research+2

Raahee

Data Analyst

Jan 2022Apr 2022 · 3 mos

Education

Indira Gandhi Delhi Technical University for Women

Bachelor of Technology - BTech

Dec 2020May 2024

N.K. Bagrodia Public School

PCM + CS

Mar 2008Mar 2020

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