Shravan Bhat

Software Engineer

India5 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Reduced SQL workflow from 1 hour to 15 minutes.
Scaled decision engine to 8,000+ events per second.
Saved ₹3+ crore/day in penalties through automation.

Stackforce AI infers this person is a Fintech Backend Engineer with expertise in distributed systems and cloud-native architectures.

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Skills

Core Skills

Distributed SystemsAwsSystem DesignRisk Management

Other Skills

Agile MethodologiesApache KafkaAutomationCCI/CDCSSClient Risk ValidationCloud-Native PipelinesCollaborationCybersecurityData StructuresEvent-Driven ArchitectureGitHubGolangHTML5

About

I have 4+ years of experience building and scaling distributed systems in fintech. My work is driven by performance, reliability, and simple architecture that handles real-world load. Key Impact Highlights: Cut a heavy SQL workflow from 1 hour to ~15 minutes by redesigning it into an AWS-native pipeline. Scaled a decision engine to 8,000+ events per second using event-driven architecture, improving throughput and overall platform stability. Built fund-allocation and risk-management logic that prevents daily penalties worth several lakhs. Designed a high-speed recommendation flow using a binary-search based approach. The domain logic was complex, but the final optimisation reduced processing time from minutes to milliseconds, saving the company lakhs per day. Led end-to-end design for platforms like the Client Risk Dashboard and mentored developers through reviews and technical decisions. Core Technical Competencies: Languages: Golang, Python, SQL. Cloud & Infrastructure: AWS (Lambda, ECS, S3, Step Functions), Docker, CI/CD. Distributed Systems: Kafka, Redis, PostgreSQL, SQL Server, Microservices, Message-Driven Architecture. Observability & Reliability: Prometheus, Grafana, System Design, and reducing MTTR

Experience

Angel one

2 roles

Software Development Engineer 2

Promoted

Apr 2024 – Present · 1 yr 11 mos

Designed and scaled distributed systems handling over 8000+ events/sec, enabling real-time decision automation and preventing large-scale financial inaccuracies under high concurrency.
Modernized batch workflows by building cloud-native pipelines on AWS, reducing processing time by 70%, eliminating manual steps, and achieving >99.9% availability.
Led design and implementation of high-accuracy client risk validation engines, ensuring correctness, consistency, and performance across time-sensitive, high-volume data flows.
Owned architecture and delivery of a client-facing dashboard, collaborating across backend, frontend, product, and operations teams to improve transparency of critical trade actions and reduce user complaints through better visibility.
Engineered automation-first backend systems, replacing legacy manual tasks with scalable data-driven jobs, improving maintainability, auditability, and operational efficiency.
Mentored engineers, conducted team-wide sessions on distributed systems and cloud tooling, and drove knowledge-sharing to improve development velocity and system quality.
Enabled automated resolution of time-critical financial obligations through real-time fund allocation and decision systems, preventing potential losses and saving ₹3+ crore/day in penalties through fast, accurate backend processing.

AWSDistributed SystemsEvent-Driven ArchitectureCloud-Native PipelinesClient Risk ValidationAutomation+1

Software Development Engineer 1

Jun 2022 – Mar 2024 · 1 yr 9 mos

Developed and maintained critical components for the Risk Management System
Designed and implemented high throughput systems that handled over 5k requests per second
Solved various complex problems using data structures, algorithms, and optimization techniques
Collaborated with cross-functional teams using Agile methodologies, Git, and Jira, delivering high-quality software products on time
Promoted and implemented CI/CD pipelines for on-prem applications

Risk Management SystemHigh Throughput SystemsAgile MethodologiesCI/CDRisk Management

L&t financial services

Graduate Engineering Trainee

Jul 2021 – Jun 2022 · 11 mos · Mumbai, Maharashtra, India

Vivekanand education society's institute of technology

3 roles

Developer Intern

Dec 2019 – Jan 2020 · 1 mo

Internal Assessment Record System
The professor can enter, edit and view the term work and oral/practical marks. The professor has access to only the class and subject to which he/she is assigned. The end semester marks can also be viewed.

Web Developer Internship

Sep 2019 – Aug 2020 · 11 mos

Developed various modules for VESIT main website.
Worked on both frontend and backend.

Intern

Jun 2019 – Jul 2019 · 1 mo · Mumbai, Maharashtra

Leave Management System
Staff can then apply leave, track status of leaves, view balance leaves for current academic year. HOD/Principal can approve/reject leaves. All the rules of leaves of VESIT were taken into consideration.