I'm a Go backend engineer specializing in distributed systems and production-grade infrastructure. I build systems that scale, fail gracefully, and are maintainable by teams.
My journey spans full-stack development, but I've found my passion in backend architecture where concurrency, reliability, and performance are non-negotiable. I thrive in large codebases where understanding system invariants and failure modes is critical.
package main
type Engineer struct {
Name string
Focus []string
CoreStrengths []string
CurrentMission string
Philosophy string
}
func NewAditya() *Engineer {
return &Engineer{
Name: "Aditya Sanskar Srivastav",
Focus: []string{
"Go Backend Systems",
"Distributed Architecture",
"Microservices & Service Mesh",
"High-Performance APIs",
},
CoreStrengths: []string{
"Concurrent & Async Systems (Goroutines, Channels)",
"RESTful & gRPC API Design",
"Database Optimization & Caching Strategies",
"Production Debugging & Observability",
},
CurrentMission: "Contributing to production OSS & mastering distributed systems patterns",
Philosophy: "Write code that's correct first, then make it fast. Test what matters.",
}
}
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I contribute to production-scale open-source projects where reliability and performance are critical. My approach is grounded in understanding systems deeply before making changes.
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%%{init: {'theme':'dark', 'themeVariables': { 'fontSize':'16px'}}}%%
graph LR
A[📚 Study<br/>Architecture] --> B[🔍 Trace<br/>Execution]
B --> C[🧪 Identify<br/>Edge Cases]
C --> D[✅ Write<br/>Tests]
D --> E[🔧 Implement<br/>Fix]
E --> F[📝 Document<br/>Changes]
F --> G[🤝 Submit<br/>PR]
style A fill:#00ADD8,stroke:#fff,stroke-width:2px,color:#000
style B fill:#00ADD8,stroke:#fff,stroke-width:2px,color:#000
style C fill:#00ADD8,stroke:#fff,stroke-width:2px,color:#000
style D fill:#00ADD8,stroke:#fff,stroke-width:2px,color:#000
style E fill:#00ADD8,stroke:#fff,stroke-width:2px,color:#000
style F fill:#00ADD8,stroke:#fff,stroke-width:2px,color:#000
style G fill:#00ADD8,stroke:#fff,stroke-width:2px,color:#000
💡 Go Backend Mastery (Click to expand)
Concurrency & Performance:
- Goroutines and channel-based communication
- Context-based cancellation and timeouts
- Worker pools and pipeline patterns
- Race condition detection and prevention
- CPU and memory profiling (pprof)
API Development:
- RESTful services with
net/http, Gin, Echo - gRPC services with Protocol Buffers
- GraphQL with gqlgen
- Middleware patterns (auth, logging, rate limiting)
- OpenAPI/Swagger documentation
Data & Storage:
- PostgreSQL with pgx driver (prepared statements, connection pooling)
- Redis for caching and pub/sub
- Transaction management and ACID guarantees
- Database migrations (golang-migrate)
- Query optimization and indexing strategies
Testing & Quality:
- Table-driven tests with
testingpackage - Mocking with
gomockandtestify - Integration tests with
testcontainers-go - Benchmark tests for performance validation
- Code coverage analysis
Production Practices:
- Structured logging (zap, zerolog)
- Distributed tracing (OpenTelemetry)
- Metrics collection (Prometheus)
- Graceful shutdown patterns
- Health checks and readiness probes
// Systems I Build
package main
type SystemsExpertise struct {
APIGateways []string
DistributedSystems []string
DataPipelines []string
Observability []string
}
func MyFocus() *SystemsExpertise {
return &SystemsExpertise{
APIGateways: []string{
"Rate limiting & throttling",
"Request routing & transformation",
"Authentication & authorization",
"Circuit breaking & retries",
},
DistributedSystems: []string{
"Service mesh integration",
"Config propagation patterns",
"Consensus & leader election",
"Distributed caching strategies",
},
DataPipelines: []string{
"Event-driven architectures",
"Stream processing patterns",
"ETL job orchestration",
},
Observability: []string{
"Distributed tracing (Jaeger)",
"Metrics aggregation (Prometheus)",
"Structured logging patterns",
},
}
} |
// Engineering Principles
package main
type Philosophy struct {
Correctness []string
Performance []string
Maintainability []string
}
func CoreValues() *Philosophy {
return &Philosophy{
Correctness: []string{
"Design for failure",
"Test edge cases first",
"Handle errors explicitly",
"Validate invariants",
},
Performance: []string{
"Profile before optimizing",
"Benchmark critical paths",
"Understand allocations",
"Optimize for common case",
},
Maintainability: []string{
"Write self-documenting code",
"Keep functions focused",
"Minimize state mutations",
"Code for the next engineer",
},
}
} |
Read production code to understand real-world patterns and trade-offs |
Use tracing, profiling, and logging to understand system behavior |
Write comprehensive tests that prevent regressions |
"Premature optimization is the root of all evil, but premature pessimization is the mother of poor performance."
I focus on writing correct, maintainable code first, then profile and optimize where it actually matters.
Guiding Principles:
- ✅ Make it work → Make it right → Make it fast
- 🧪 Tests are not optional; they're part of the product
- 📖 Code is read 10x more than it's written
- 🤝 Communicate assumptions and trade-offs clearly
- 🔄 Small, incremental changes compound over time
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// 2025 Goals
func MyGoals() []string {
return []string{
"Ship 10+ meaningful OSS contributions",
"Build a production-ready distributed system from scratch",
"Master advanced Go concurrency patterns",
"Deep dive into Kubernetes networking",
"Write technical blog posts about systems design",
}
}
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Tech: Go, Redis, PostgreSQL High-performance API gateway with:
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Tech: Go, Redis, gRPC Fault-tolerant task processing system:
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Tech: Go, JWT, PostgreSQL Secure auth service featuring:
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Tech: Go, WebSockets, Redis Pub/Sub Low-latency event broadcasting:
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I believe in learning in public and documenting my journey. Here are topics I write about:
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🚀 Go Best Practices Patterns I've learned from production systems |
🏗️ System Design Breaking down complex distributed systems |
🐛 Debugging Stories Real-world bug investigations and fixes |
I'm always interested in discussing:
- Go backend architecture and patterns
- Distributed systems challenges
- Open source contribution strategies
- Career growth in backend engineering
When I'm not coding: I'm probably reading source code, debugging distributed systems, or exploring new Go libraries. I find joy in understanding why systems work the way they do, not just how to use them.
