Shubham Prateek

Software Engineer

Bengaluru, Karnataka, India3 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable backend systems.
Achieved 92% accuracy in predicting invoice defaults.
Strong background in distributed systems and microservices.

Stackforce AI infers this person is a Backend Developer with expertise in Fintech and scalable architectures.

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Skills

Core Skills

Machine LearningData Analysis

Other Skills

Amazon DynamodbAmazon Web Services (AWS)Analytical SkillsAngularApache SparkArtificial Intelligence (AI)Artificial Neural NetworksC (Programming Language)C++ChatbotsCollibraComputer EngineeringComputer ScienceContinuous Integration and Continuous Delivery (CI/CD)Convolutional Neural Networks (CNN)

About

I specialize in crafting high-performance, scalable backend systems, leveraging Golang and Java to build robust architectures that can handle massive scale. With a deep understanding of distributed systems, I thrive on solving complex challenges—whether it’s optimizing system performance, ensuring fault tolerance, or designing microservices that seamlessly interact at scale. 🔹 Expertise in: Backend Development | Distributed Systems | Microservices | High-Throughput Applications | Cloud-Native Architectures 🔹 Passionate About: Designing scalable, resilient architectures that power seamless user experiences 🔹 Approach: Blend performance optimization with clean, maintainable code to drive efficiency and innovation I’m always excited to exchange ideas, solve tough engineering problems, and explore cutting-edge technologies in backend and distributed computing. Let’s connect and talk about building systems that scale! 🚀

Experience

3 yrs 10 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 11 mos

Current Experience

Zepto

Software Development Engineer 2

Jul 2024 – Present · 1 yr 11 mos · Bangalore Urban, Karnataka, India · Hybrid

Fractal

Software Engineer

Jul 2022 – Jun 2024 · 1 yr 11 mos · India

Highradius

Engineer Intern

Jan 2021 – Jun 2022 · 1 yr 5 mos · Bhubaneswar, Odisha, India

Worked on ML based products for predicting invoice defaults.
1. Cleaned the data on invoices from different customers using Python and R.
2. Analyzed the data in python and Power BI to get deeper insights on payment patterns of different customers.
2. Applied modern ML algorithms to predict whether those invoices are going to be defaulted.
3. Gained an accuracy of 92% in successfully predicting default likeliness in different buckets.

PythonRPower BIMachine LearningData Analysis