Projects

Case Studies

Three production systems — medical publishing, enterprise logistics, and API platform engineering. Each structured as: problem → solution → measurable outcomes.

2021 – 2022

Live Site

IAMJ.in

Medical Journal Platform — Solo Full-Stack & DevOps

Complete ground-up rebuild of a peer-reviewed medical journal. Migrated from a legacy PHP monolith to a modern Next.js + NestJS stack with 17 modular REST API services, RBAC, and full AWS infrastructure.

Problem

The PHP platform had no version control for manuscripts, poor SEO (5K impressions/month), and a manual editorial workflow fragile enough to lose submissions.

Solution

Rebuilt with Next.js (SSR/SSG), NestJS modular APIs, React Admin dashboard, and AWS stack (ECS, RDS, S3, CloudFront, Route 53). Full-text search via PostgreSQL pg_trgm across 14,000+ articles.

Stack

Next.jsNestJSPostgreSQLReact AdminTailwind CSSAWS ECSS3CloudFrontDockerGitHub Actions

Key Outcomes

—100× growth in Google impressions — 5,000 → 500,000 per month.
—96% cost reduction by replacing NAT Gateway with fck-NAT VPC endpoints.
—Role-based access for authors, reviewers, and editors with full audit trail.
—Automated manuscript submission, reviewer assignment, and email notifications.
—Zero-downtime ECS deployments via GitHub Actions CI/CD.

2022 – Present

Live Site

Mastery Logistics

Transportation Management Platform — BridgeNext

Led engineering on a large-scale transportation management platform serving enterprise logistics clients. The system processes thousands of load events per day across 60+ Kafka consumer services coordinated by Apollo GraphQL Federation.

Problem

0112 GB Node.js heap leak causing regular service restarts — root cause traced to TypeORM loading full cartesian products of joined rows into memory on complex queries.
02Latency degradation across 60+ services — traced to uncached network calls hitting an internal flag service on every request.
03N+1 query patterns in GraphQL resolvers generating redundant DB round-trips under concurrent load.

Solution

01Heap profiling via NewRelic + Chrome DevTools identified TypeORM inflating memory with cartesian join products — resolved by rewriting queries to use selective loading and pagination, dropping heap from 12 GB to 2 GB.
02JMeter + NewRelic instrumentation pinpointed the flag service hotspot. Added a caching layer at that service, eliminating redundant hops across the entire ecosystem.
03Introduced DataLoader on GraphQL resolvers for batched, request-scoped data fetching with caching.

Stack

GraphQLApollo FederationKafkaNode.jsNestJSTypeScriptReact.jsNext.jsMSSQLRedisKubernetesJMeterNewRelic

Key Outcomes

—83% memory reduction — heap footprint from 12 GB down to 2 GB at peak load.
—Service uptime improved from 99.1% to 99.9% over a 90-day window.
—Diagnosed performance degradation across 60+ services traced to excessive network calls on an internal flag service — instrumented via NewRelic and JMeter. Resolved by implementing caching at the flag service level, improving latency across the entire microservice ecosystem.
—Implemented DataLoader on GraphQL resolvers to achieve efficient concurrency with request-level caching, eliminating N+1 query patterns.
—UUID validation framework eliminated a class of invalid-record production bugs.
—Established TypeScript strict mode and code-review standards across 15+ services.

2019 – 2022

Live Site

Yappes API Platform

API Lifecycle Management — Yappes Technologies

Core engineer on an API management platform providing version control, gateway routing, analytics, and a developer portal — spanning API creation through deprecation.

Problem

Enterprise teams had no structured way to version, diff, or roll back API specifications. The monolithic codebase made it impossible to scale individual components independently.

Solution

Led a phased monolith → microservices migration: extracted API gateway, manager, and analytics into separate Node.js services behind Nginx. Built Angular migration and real-time analytics via WebSockets.

Stack

AngularNode.jsExpressMongoDBRedisWebSocketsDockerNginx

Key Outcomes

—API version control system reduced breaking-change incidents by 60%.
—Microservices migration enabled independent scaling of gateway (10×) vs analytics.
—Secured a VMware technology partnership through enterprise integration module.
—Real-time analytics dashboard used by 500+ API consumers in production.
—Mentored two junior engineers to independent feature ownership within 6 months.

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