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package main
type Engineer struct {
Name string
Role string
Location string
Speciality []string
CurrentWork string
Availability string
}
func main() {
me := Engineer{
Name: "Dharanitharan P",
Role: "Backend Engineer",
Location: "Bengaluru, Karnataka 🇮🇳",
Speciality: []string{
"Payment Orchestration",
"Distributed Systems",
"High-Throughput Pipelines",
"Fintech Infrastructure",
},
CurrentWork: "PayFin · ChitChaat @ Antique Network",
Availability: "Open to high-impact backend roles",
}
_ = me
}| 🚀 | 📊 Metric | 💬 Context |
|---|---|---|
| ⚡ | 1000 TPS sustained | Payout orchestration engine |
| ⏱️ | < 1s API latency p95 | Optimized internal services |
| 📨 | 10,000+ events/sec | ChitChaat messaging backend |
| 🏦 | 4 payment rails | IMPS · NEFT · RTGS · UPI |
| 🔁 | 100× throughput | Payout system scaling |
| 🔒 | Zero race conditions | Redis distributed locking |
📂 Antique Network Solutions — Backend Engineer Feb 2025 → Present
PayFin · Payout Infrastructure
✦ Architected multi-bank payout orchestration with cost-aware routing + automated failover
✦ Designed liquidity & prefunding engine — dynamic capital allocation using real-time signals
✦ Scaled throughput: 10 TPS → 1000 TPS (horizontal scaling + async pipelines + query optimization)
✦ Built concurrency-safe wallet with Redis distributed locking + PostgreSQL double-entry ledger
✦ Sliding-window rate limiter enforcing per-bank TPS contracts without upstream SLA breaches
PayFin · Pay-in Systems
✦ Scaled checkout to 200 TPS — async processing, parallelized bank calls, webhook optimization
✦ Unified abstraction layer across CUB, Axis, Jio (UPI + Cards + Netbanking)
✦ Payment routing engine with success-probability ranking across payment methods
ChitChaat · CPaaS Backend
✦ High-throughput messaging: 10K+ events/sec via Kafka + gRPC (SMS, WhatsApp, RCS)
✦ Provider failover + credit-based routing for reliable delivery under instability
Go Gin Java Spring Boot Kafka gRPC Redis PostgreSQL
📂 Indusspay / Primeindus Fintech — Software Engineer Jan 2024 → Jan 2025
✦ Built UPI pay-in & payout APIs with idempotency guarantees + reconciliation hooks
✦ Designed webhook-driven event flows for real-time merchant state synchronization
✦ Retry & failover mechanisms with structured logging across payment callbacks
✦ Optimized API performance via indexing, connection reuse, and caching strategies
Go Java PostgreSQL Redis REST APIs
Languages
Infrastructure & Data
Frameworks
# dharanitharan.yaml — Engineering Philosophy
correctness_over_cleverness:
rule: "Idempotency, reconciliation, and failure handling are non-negotiable guarantees."
not: "Add-ons or nice-to-haves."
measure_before_optimize:
rule: "Latency distributions and system metrics drive every performance decision."
not: "Gut feeling or premature abstraction."
design_for_failure:
rule: "Every system is built assuming downstream failures, retries, and partial success."
not: "Happy-path only."
patterns_used:
- Saga Orchestration
- CQRS
- Circuit Breaker
- Sliding-Window Rate Limiter
- Outbox Pattern
- Distributed Locking (Redis)
- Double-Entry Ledgering
- Dead Letter Queues| Project | Domain | Impact | Stack |
|---|---|---|---|
| PayFin Payout Engine | Payment Infra | 1000 TPS · 4 rails · 0 SPOFs | Go · Redis · Kafka · PG |
| Pay-in Checkout | Payment Infra | 200 TPS · 3+ acquirers | Go · Next.js · Redis |
| Wallet & Liquidity Engine | Payment Infra | Strict consistency · Auto-rebalance | Go · Redis · PG |
| ChitChaat CPaaS | Communication | 10K msg/sec · 3 channels | Go · gRPC · Kafka |
| UPI Pay-in / Payout APIs | Payment Infra | Idempotent · Zero manual recon | Go · Java · PG |
| Transactional Messaging | Communication | Multi-provider failover · DLQ | Go · Kafka · Redis |
┌─────────────────────────────────────────────────────────┐
│ │
│ "I don't just write code. │
│ I engineer systems that move real money, │
│ stay correct under failure, │
│ and scale without apology." │
│ │
│ — Dharanitharan P │
└─────────────────────────────────────────────────────────┘