Skip to content
AVAILABLE FOR Q3 PROJECTS

I build backend systems that survive scale.

Distributed systems, cloud infrastructure, and high-performance APIs for startups shipping fast.

Core Infrastructure

Systems engineered for predictability under load. We focus on decoupled architectures that scale horizontally.

API Architecture

LATENCY< 40ms
UPTIME99.99%

Event Systems

THROUGHPUT100k+ msg/s
DELIVERYExactly-once

Authentication

SECURITYZero-trust
TOKENSJWT + JWE

Payment Infrastructure

INTEGRITYACID Compliant
STATEIdempotent

Distributed Jobs

EXECUTIONAsync Queue
RETRYExp Backoff

Cloud Deployments

INFRATerraform/K8s
CI/CDAutomated

SYSTEM_OUTPUT

Architectural Case Studies

CASE_STUDY_01

High-Concurrency Payment Engine

PROBLEM:

Payment bottlenecks and dropped transactions during sudden traffic spikes under legacy monolithic architecture.

SOLUTION:

Implemented a distributed, queue-based processing system utilizing Kafka for event streaming and Redis for state locks. Decoupled the ledger from the main API.

OUTCOME:

72% reduction in transaction failures. Latency stabilized to <45ms P99 even during peak load events.

GOKAFKAREDISPOSTGRESQL
THROUGHPUT10k TPS
LATENCY45ms P99
[API_GATEWAY]10k TPS
[KAFKA_TOPIC]OK
[LEDGER_WORKER]LOCKED
CASE_STUDY_02

Multi-Tenant Resource Scheduler

PROBLEM:

Inefficient hardware utilization and noisy neighbor issues in a multi-tenant SaaS environment.

SOLUTION:

Architected a decentralized scheduling engine utilizing Go coroutines and a custom greedy resource allocation algorithm to bin-pack workloads.

OUTCOME:

Increased hardware utilization by 40% while strictly isolating tenant workloads. Eliminated P99 latency spikes for premium tenants.

GODOCKERGRPCETCD
UTILIZATION+40%
ISOLATIONStrict
NODE_CLUSTER_01
TENANT_A (80%)
TENANT_B (20%)
TENANT_C (95%)
TENANT_D (15%)

CAREER_MILESTONES // git log

2025 — PRESENTfeat: scaled distributed backend infra

Backend Software Engineer

Patch Infotech.

  • -Reduced API latency by 35% through query optimization
  • -Architected event-driven microservices with Kafka
  • -Improved deployment reliability via strict CI/CD pipelines
2023 — 2025refactor: monolithic migration to microservices

Software Developer

Infodia Technologies.

  • -Maintained 99.9% uptime SLA during peak loads
  • -Reduced deployment time by 80% via Docker/K8s
  • -Implemented full-stack observability with OpenTelemetry

Engagement Models

SELECT DEPLOYMENT TARGET

SPRINT_BUILD

Core Infrastructure Sprint

Rapid MVP backend development. Essential API layer, User management, and DB schema design. Focus on fast time-to-market.

Starting at $4k
INITIALIZE
FRACTIONAL_LEAD

Fractional Backend Lead

Scale architecture and team mentorship. Full microservice migration, complex state machines, and system observability. Ongoing partnership.

Custom retainers
INITIALIZE
SYSTEM_ARCH

Embedded Ecosystem

Dedicated engineering for enterprise needs. Multi-region redundancy, high-compliance security audits, and legacy refactoring.

Project-based
CONTACT_SALES
ESTABLISH_CONNECTION

Initialize Project