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Shreyansh Singh

Software Engineer | Java | RESTful APIs | Microservices | Springboot | Json | GenAI | J2EE | Backend | Docker | Structured Logging | Distributed Tracing | Grafana | LLD | S3 | Lambda | Redis

Bengaluru

1+ year of work experience

Fidelity Investments
Feb 20251 yr 1 moFeb 2026

Bengaluru, Karnataka, India

• Optimized API-driven internal data aggregation pipelines supporting brokerage reporting workflows, improving processing efficiency by nearly 30%. • Engineered scalable backend services using YugabyteDB (Distributed SQL), improving reliability for high-throughput transactional workflows. • Designed asynchronous processing architecture using AWS Lambda, SQS, and S3, eliminating API latency impact for peak traffic conditions. • Implemented event-driven workflow orchestration patterns, reducing service coupling and improving fault isolation across distributed systems. • Integrated MDC-based distributed tracing with Splunk–Datadog log correlation, reducing MTTR. • Enhanced observability, debugging efficiency, and production incident analysis.

Shreyansh’s AI Stack

antigravity
antigravity
claude code
claude code
codex
codex
gemini
gemini
github copilot
github copilot

Education

Dayananda sagar institutions

Bachelor of Engineering - BE

Dayananda sagar institutions

20194 yrs2023
Dayananda Sagar College of Engineering, BANGALORE

Bachelor of Engineering, Computational Science

Dayananda Sagar College of Engineering, BANGALORE

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Headline

Software Engineer | Java | RESTful APIs | Microservices | Springboot | Json | GenAI | J2EE | Backend | Docker | Structured Logging | Distributed Tracing | Grafana | LLD | S3 | Lambda | Redis

Location

Bengaluru

AI stack

antigravity

claude code

codex

gemini

github copilot

Work experience

Software Engineer Apprentice at Fidelity Investments, Feb 2025 - Feb 2026 · 1 yr 1 mo, Bengaluru, Karnataka, India, • Optimized API-driven internal data aggregation pipelines supporting brokerage reporting workflows, improving processing efficiency by nearly 30%. • Engineered scalable backend services using YugabyteDB (Distributed SQL), improving reliability for high-throughput transactional workflows. • Designed asynchronous processing architecture using AWS Lambda, SQS, and S3, eliminating API latency impact for peak traffic conditions. • Implemented event-driven workflow orchestration patterns, reducing service coupling and improving fault isolation across distributed systems. • Integrated MDC-based distributed tracing with Splunk–Datadog log correlation, reducing MTTR. • Enhanced observability, debugging efficiency, and production incident analysis.

Education

Bachelor of Engineering - BE, Dayananda sagar institutions

Bachelor of Engineering, Computational Science, Dayananda Sagar College of Engineering, BANGALORE

Public links

github: https://github.com/shr3yanshsage

codeforces: https://codeforces.com/profile/UchihaItachi

Shreyansh Singh - Software Engineer Apprentice in Bengaluru | Tal