Shubham Bhagat

Software Engineer

Bengaluru, Karnataka, India3 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in backend distributed systems and performance optimization.
Proven track record in reducing operational inefficiencies.
Strong experience in building scalable and reliable architectures.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and automation solutions.

Contact

1729sb@gmail.com LinkedIn

Skills

Core Skills

Backend DevelopmentDistributed SystemsAutomationFull Stack DevelopmentEmail Systems

Other Skills

.NET.NET FrameworkAPIsAkkaAlgorithmsArtificial Intelligence (AI)C++Computer ScienceData StructuresDeep LearningDjangoEmail DeliveryJavaJavaScriptJenkins

About

Software Engineer | Backend Distributed Systems | Java • C# • Python • ML Areas I have worked in: * Backend development with a focus on reliable, scalable system design * Building performance-sensitive components like matching engines and data pipelines * Modernizing legacy workflows into real-time architectures * End-to-end feature development across backend, infra, and automation * Improving system stability, efficiency, and operational visibility Key Projects: * Designed a Trade Order matching engine → optimized core ops to O(1) * Architected a Health-monitoring system with a React dashboard → increased dependency reliability * Modernized batch CSV workflows with a Kafka streaming pipeline → reduction in data latency from hours → seconds * Built a Selenium automation framework → cut manual QA effort by 90% * Maintained a custom email infrastructure → reduced email spam rates by 80% using AI What I’m looking for: * Backend roles involving distributed systems or machine learning engineering * Fast paced setups that encourage ownership Skills: * Java, C#, Python, Ruby * React, AWS, Kafka, CI/CD

Experience

Wells fargo

Software Engineer

Aug 2023 – Present · 2 yrs 7 mos · Bengaluru, Karnataka, India · Hybrid

My role involves designing and building systems that enable valuation and hedging of financial products like mortgages. I developed a Kafka-based pipeline that facilitates seamless migration and real-time distribution of asset data to platforms like Polypaths for analytics. I created a highly performant Java-based trade order matching engine using a custom Red-Black Tree structure, optimized for near constant-time operations such as insertions and deletions. I also built a health monitoring library from scratch which used WebSockets to provide real-time liveness and readiness checks of our various applications. In addition, I led the development of a modular UI automation framework using .NET and Selenium, which has significantly reduced manual QA efforts by over 70% and is now leveraged by multiple teams across the organization. On the DevOps front, I’ve contributed to streamlining CI/CD pipelines by configuring Jenkins workflows and automating deployments.

JavaKafkaWebSocketsSeleniumJenkinsBackend Development+1

Kalendar.ai

Full Stack Developer

Jan 2023 – May 2023 · 4 mos · Remote

I worked at Kalendar AI as a Software Developer, where I owned and developed the company’s operations dashboard and the email infrastructure using Ruby on Rails. The dashboard handled over a million daily tasks and was critical to the company’s core functioning. My contributions to the email infrastructure led to a significant drop in spam rates—around 80%—by implementing robust warm-up flows and refining the email delivery pipeline. I also integrated APIs from Open AI and other LLM providers to enable the automatic generation of personalized email content, improving campaign effectiveness and engagement.

Ruby on RailsAPIsOpen AIFull Stack Development