Jigyasa Khaneja

CEO

Bengaluru, Karnataka, India4 yrs 5 mos experience

Key Highlights

Over 2 years of experience in tech industry.
Contributed to groundbreaking projects at Amazon and Wayfair.
Passionate about audio technology and space exploration.

Stackforce AI infers this person is a Software Engineer with expertise in E-commerce and Cloud Computing.

Contact

Skills

Core Skills

JavaAwsGcpRust

Other Skills

JavaServer Pages (JSP)JavaScriptHTML/CSSAmazon Web Services (AWS)ElasticsearchgRPCRust (Programming Language)Google Cloud Platform (GCP)Python (Programming Language)Machine LearningDeep LearningC++GitSQLHTML

About

With over 2 years of experience in the tech industry, I've had the privilege of contributing to groundbreaking projects at Amazon and currently, at Wayfair. My expertise spans Machine learning, back-end development, systems and more allowing me to design and develop robust solutions that seamlessly blend innovation and functionality. Driven by a deep fascination for cutting-edge technologies, I have a keen interest in two captivating domains: audio technology and space exploration. I am particularly intrigued by the intersection of Artificial Intelligence and Machine Learning with audio, as well as the limitless possibilities that space technology holds for the future. 🎧 When I'm not coding, I'm exploring the world of audio, diving into the realms of AI and ML to create immersive auditory experiences. 🛰️ Beyond that, my curiosity extends to space technology, where I envision contributing to the exciting advancements reshaping our understanding of the cosmos. As an avid learner, I thrive in dynamic environments where innovation is the driving force. I'm always excited to connect with fellow enthusiasts, collaborators, and pioneers in the fields of technology, audio, and space exploration.

Experience

4 yrs 5 mos

Total Experience

1 yr 5 mos

Average Tenure

Current Experience

Kiit college of engg.sohna road,bhondsi (gurgaon)

Administrator

Dec 2025 – Present · 6 mos

Wayfair

Software Engineer II

Jun 2023 – Nov 2025 · 2 yrs 5 mos · Bengaluru

JavaServer Pages (JSP)JavaJavaScriptHTML/CSSAmazon Web Services (AWS)Elasticsearch+1

Amazon

Software Development Engineer

Sep 2021 – May 2023 · 1 yr 8 mos

◦ Worked as a part of the YMS (Your Memberships and Subscriptions) team that provides post purchase management experience for all Amazon subscriptions.
◦ Designed and implemented pagination feature on our application that unblocked over 500 high subscription count customers to manage their Amazon subscriptions, also improving page load latency by 42 percent.
◦ Designed and developed an integration test framework to automate test cases from the regression test suite. Strategized and planned the automation of test cases, resulting in a 73 percent reduction in manual testing effort for every release and enabling the more efficient use of QA resources.

gRPCRust (Programming Language)Google Cloud Platform (GCP)GCPRust

Cncf [cloud native computing foundation]

LFX Mentee

Mar 2021 – May 2021 · 2 mos

Worked on Google Cloud Connectors for the Tremor Project - Google Cloud Storage, Google Cloud Pubsub. More details in the attached blog post: https://www.tremor.rs/blog/2021/06/29/t17-lfx-blog-jigyasa-gcloud/
Practiced industry best practices: contributing to open-source software using Git and GitHub, conducting code reviews, participating in distributed development, designing new components and interfaces, and leading them to completion.

Homingos

Data Engineer intern

Jan 2021 – Jan 2021 · 0 mo

Google

Software Product Sprint

Jul 2020 – Aug 2020 · 1 mo

One of the 73 students selected from India for the program
Collaborated with a team of peers to design and implement an interactive Movie recommendation web application using Python, Flask, HTML and CSS, leveraging various Google Cloud Platform APIs, including App Engine
Was awarded as the Most Valuable person and Team builder of the team

Walmart global tech india

Software Engineer Intern

Jun 2020 – Jul 2020 · 1 mo

Worked with the Ad Ops team. Automated the service of providing screenshots of ads displayed on Walmart’s website to the advertisers
Leveraged Google Ad Manager API to fetch preview URLs covering all unique templates for an order ID
Did Full-Stack web app development to provide an easy user interface for accessing the service
Tech stack: Python, Google ad manager API, Flask, HTML/CSS, Python libraries