Shubham Aggarwal

Software Engineer

Chandigarh, Chandigarh, India7 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in fintech with high-impact payment solutions.
Proven track record in developing scalable microservices.
Strong background in machine learning and data analysis.

Stackforce AI infers this person is a Fintech and SaaS expert with strong software development and data analysis skills.

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Skills

Core Skills

Software DevelopmentData Analysis

Other Skills

BlockchainC++Cloud DeploymentCompliance LaunchesComputer VisionData PruningData StructuresDatabase DesignDeep LearningFintechImage SegmentationMachine Learning AlgorithmsMicroservices DevelopmentNeural NetworksPayment Processing

About

I like to explore new domains, currently super interested in - Coding / development (Go, Python, C++, Rust), Stock Markets (Options and Investing), Psychology (Evolutionary and stoic models), Finances (Taxes and Personal Finance), Designing (Graphic design and videoediting).

Experience

Uber

2 roles

Software Engineer 2

Jun 2024 – Present · 1 yr 9 mos · Hyderabad, Telangana, India

Working in the fintech domain
Tax Calculation
Tax Calc is part of fare estimation flow, entire payment flows from here. Managing service with over 10k qps
Launched multiple Direct tax aggregation projects across the globe. (Different regions different compliance)
Receipts
Owning and Building services responsible for generating receipts in Uber globally, generating over
1B+ client receipts a month in over 85 countries across the globe.
Leading Data Pruning initiatives in Receipts to reduce Data Storage costs over 70%

Tax CalculationFintechService ManagementData PruningSoftware DevelopmentData Analysis

Software Engineer 1

Jun 2022 – Jun 2024 · 2 yrs · Hyderabad, Telangana, India

⁃ Led critical compliance launches across global markets as core member of Uber's payments team. Successfully rolled out UberMoney in Mexico, designing seamless onboarding flows optimized for local regulatory needs.
⁃ Architected low-latency backends for real-time payment processing, reducing latencies by 90% from 400ms to under 50ms. This significantly improved customer experience in key regions like UK and Mexico.
⁃ Developed scalable microservices addressing diverse compliance requirements for Uber's payment solutions worldwide. Automated formerly manual processes, allowing expansion into new areas efficiently amid stringent regulations.

Compliance LaunchesPayment ProcessingMicroservices DevelopmentSoftware DevelopmentData Analysis

Samsung electronics

Software Developer

May 2021 – Jul 2021 · 2 mos

Interned as a Software Engineer at Samsung Research, working on computer vision and deep learning projects.
Developed techniques to enhance low-light camera images using PyTorch neural networks. Integrated models with Microsoft's AutoML platform to optimize performance.
Conducted neural architecture search using reinforcement learning to automatically design efficient network architectures for Image enhancement applications.
Built scalable distributed training systems to accelerate model development cycles on large datasets. Collaborated with teams to integrate solutions for production use.

Computer VisionDeep LearningNeural NetworksSoftware Development

Robotics and machine intelligence

Data Scientist

Sep 2020 – May 2022 · 1 yr 8 mos

Indian investics

Founder

May 2020 – Jan 2020 · 8 mos

Origin health

Data Scientist

Feb 2020 – Oct 2020 · 8 mos

Interned as a Data Scientist at Origin Health, a healthcare AI startup in Singapore.
Built an automated pipeline for deploying ultrasound image segmentation models in production environments.
Developed novel neural network architectures like DRUnet using PyTorch, achieving over 74% accuracy for medical organ delineation.
Leveraged platforms like W&B and AWS to optimize models, streamline visualization/reporting, and integrate solutions enterprise-wide.
Drove end-to-end model development workflows from data labeling to cloud deployment, reducing clinical workflows.

Image SegmentationNeural NetworksCloud DeploymentData Analysis