Aditya Gupta

Software Engineer

Bengaluru, Karnataka, India5 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building efficient large-scale systems.
Strong background in product management and financial markets.
Proven ability to enhance model performance in AI projects.

Stackforce AI infers this person is a skilled Software Developer with a focus on AI and Fintech solutions.

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Skills

Core Skills

Data ScienceMachine LearningProduct Management

Other Skills

AIAlgorithmsAmazon Web Services (AWS)Autodesk InventorCC++Data AnalysisData MiningData StructuresDatabasesDeep LearningDesign ThinkingDistributed SystemsGANImage Processing

About

I am an IIT Delhi graduate currently working as Software Developer at Amazon. As a part of Amazon Fulfillment Technology, I primarily work on making the Amazon Fulfillment network more efficient. Working at Amazon, I have gained good experience around building efficient large-scale systems, utilizing AWS products. I keep exploring new things. Over the past few years, I've built good knowledge in product management, financial markets and personal finance.

Experience

Amazon

3 roles

Software Development Engineer II, Selection & Catalogue Systems

Jul 2024 – Present · 1 yr 8 mos

Software Development Engineer II, Amazon Fulfillment Technology

Promoted

Jul 2023 – Jun 2024 · 11 mos

Software Development Engineer, Amazon Fulfillment Technology

Jul 2021 – Jun 2023 · 1 yr 11 mos

Nextleap

Product Management Fellowship

Nov 2022 – Jan 2023 · 2 mos · Remote

Piramal enterprises limited

Data Scientist Intern

May 2020 – Jul 2020 · 2 mos · Mumbai, Maharashtra, India

Identified the potential risk of loan default by collusion in the housing finance business
Designed an automated framework using Selenium, to procure data for 10,000+ properties
Developed a housing price prediction model using XGBoost in Python to assist in the identification of potential mortgage fraud

Autogenerate.ai

2 roles

Product Management Intern

Aug 2019 – Jan 2020 · 5 mos · Greater Delhi Area

Interviewed brand managers of 10+ fashion companies to identify gaps in the fashion industry
Prototyped an AI-based fashion assistant to increase the apparel designing process speed by 20%

ML Research Intern

May 2019 – Jul 2019 · 2 mos · Greater Delhi Area

Appended a ResNet to the model architecture of Image2StyleGAN-2 (NVIDIA), to enhance its performance by 400%
Implemented a modified GAN (Generative Adversarial Network) to develop a deep learning based speech-to-video model
Pre-processed around 30,000 videos which involved human face extraction, and video and audio frames' alignment to build the GAN