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dev2298/README.md

πŸ‘‹ Hi, I’m Devansh Srivastava πŸ”΄

πŸ”΄ Engineering production-grade backend systems where correctness, scale, and risk matter

Senior Software Engineer | Backend & Distributed Systems
Finance Β· Hedge Funds Β· AI Platforms Β· Risk & Analytics


🧠 Engineering Philosophy

Simple systems scale. Clever systems fail.

  • Correctness before performance
  • Design for failure, observability, and long-term maintainability
  • Code is a liability unless it delivers durable business value

🧰 Tech Stack (Signal-First)

πŸŸ₯ Languages (Production-Critical)

C# .NET SQL

JavaScript TypeScript


πŸŸ₯ Backend & Systems

.NET Core ASP.NET REST APIs Distributed Systems

Microservices Concurrency Multithreading


πŸŸ₯ Databases & Data Integrity

SQL Server PostgreSQL

Indexing Query Optimization Transactions Isolation Levels


πŸŸ₯ Messaging & Streaming

Kafka Event-Driven


πŸŸ₯ Cloud & DevOps

Azure CI/CD Docker Monitoring


πŸŸ₯ Engineering Practices

System Design Performance Code Reviews Observability Fault Tolerance Security


πŸ’Ό Experience (Impact-First)

🏦 Engineering Mission-Critical Financial Systems

Bank of America β€” Software Development Engineer

  • High-availability backend systems with strict SLA & compliance
  • Transactional correctness, auditability, and failure handling

πŸ€– Backend Systems for Large-Scale AI Platforms

G42.AI β€” Software Development Engineer

  • Data-intensive services supporting AI workloads
  • High-volume ingestion pipelines and scalable processing

πŸ“ˆ Core Backend Systems for Hedge Fund Operations

NAV β€” Senior Associate / Software Engineer

  • Fund operations and trade-support systems
  • Multi-server validation & sign-off logic
  • Zero-tolerance for data inconsistency

✈️ Enterprise Risk & Analytics Platforms

LexisNexis Risk – Cirium β€” Software Development Engineer

  • Backend services for aviation risk analytics
  • Large datasets, accuracy guarantees, enterprise consumers

πŸ“Œ Selected Work

πŸ”Ή Financial Ledger Engine

  • Transaction-safe, idempotent ledger
  • Full audit trail & concurrency control
    Tech: C#, .NET, SQL Server

πŸ”Ή Event-Driven Trade Processing

  • Kafka-based real-time pipeline
  • Replay, recovery, and failure isolation
    Tech: Kafka, .NET, PostgreSQL

πŸ”Ή Distributed Fund Sign-Off System

  • Cross-server validation & rollback safety
    Tech: SQL Server, Triggers, Linked Servers

πŸ” Core Focus Areas

  • Distributed backend systems
  • Financial correctness & risk
  • Performance under load
  • Pragmatic system design

⭐ I build boring systems that survive production.

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