Scalable APIs & Distributed Backend Systems
I architect high-throughput REST APIs, NestJS microservices, Kafka event streams, and PostgreSQL schemas designed for scale.
Technical Skills
What I bring as a Backend engineer
API & Server Frameworks
Data & Storage
Message Queues & Streaming
DevOps & Deployment
Architecture
How I architect backend systems
API Design
RESTful resource modeling, request validation with Zod/class-validator, versioning strategy, and OpenAPI documentation.
Database Schema
PostgreSQL schema with proper indexing, transactional safety, row-level audit trails, and Prisma type-safe client.
Event Architecture
Kafka topic partitioning for distributed event streams, BullMQ workers for async background jobs and retries.
Caching Layer
Redis caching with TTL strategies, cache invalidation patterns, and rate limiting middleware.
Zero-Downtime Deploy
Blue/Green PM2 deployments behind Nginx reverse proxy with automated rollback on health check failure.
Featured Work
Production projects as a Backend engineer
Planfluence
Meetings into Momentum — AI Meeting Intelligence to Jira Backlog & Slack Recaps
Problem
Engineering discussions frequently end with action items and architectural commitments buried in unreviewed recordings or chat threads. Translating spoken consensus into Jira tickets with acceptance criteria wastes hours of developer and manager time.
Solution
Architected a 4-step pipeline: (1) Capture calls via Google Meet Chrome extension without intrusive bots; (2) Transcribe and extract decisions using Whisper and LLMs; (3) Review, approve, and publish tickets directly to Jira Cloud/Data Center and Trello backlogs; (4) Broadcast structured recaps to dedicated project Slack channels.
Architecture
- Chrome Extension (Manifest V3) capturing tab audio locally with zero bots joining user meetings
- Next.js 15 App Router web application with streaming AI summaries and interactive decision editor
- High-speed Whisper transcription & structured JSON extraction for action items and acceptance criteria
- Bi-directional Jira Cloud & Trello API integrations with one-click backlog and sprint publishing
- Slack webhook automation broadcasting project-specific meeting recaps with deep links
- Lemon Squeezy merchant-of-record subscription billing engine
Verified Results
GeniSteps
Hardware-Accurate Step Tracking & Vitality Companion — 100% Local-First
Problem
Mainstream pedometers drain device battery, lock essential 24-hour trends and data exports behind $39–$79/yr recurring subscriptions, and harvest sensitive biometric location and movement data to proprietary cloud servers.
Solution
Built a silicon-native motion engine with a 4th-order DSP bandpass filter (0.8–3.5 Hz) tuned to human gait biomechanics. Features silent lock-screen updates via >95% IPC throttling, natural stride pacing (~320ms), and 100% data sovereignty in on-device SQLite WAL mode.
Architecture
- Silicon coprocessor integration: Apple CoreMotion (CMMotionActivityManager) & Android Sensor Hub
- 4th-Order DSP digital signal processing filter (0.8–3.5 Hz) isolating true strides from vehicle vibration
- Silent lock-screen live activity widgets with >95% IPC throttling for battery preservation
- Local-first SQLite database running in WAL mode with instant 1-tap CSV and JSON spreadsheet export
- Behavioral habit psychology engine: automated bankable streak freezes and rest-day scheduling
- Standardized machine-readable /llms.txt factsheet for generative engine and AI model evaluation
Verified Results
DispatchLink
B2B Freight Marketplace Connecting Carriers & Dispatchers
Problem
Freight dispatching is plagued by manual phone calls, untracked load confirmations, fragmented broker commissions, and slow escrow reconciliation.
Solution
Architected a unified real-time portal where carriers claim loads with automated geospatial radius search, live driver telemetry, and automated multi-tenant wallet payouts.
Architecture
- Next.js 15 App Router with Server Components for low-latency freight searches
- MongoDB 2dsphere indexes for polygon and radius origin-to-destination matching
- MapLibre vector maps rendering live driver routes and telemetry coordinates
- LemonSqueezy merchant-of-record integration for multi-party escrow billing
Verified Results
Kookabe AI Suite
Enterprise WhatsApp RAG Chatbot & Automated AI Voice Mail
Problem
Companies received hundreds of repetitive WhatsApp voice notes, PDFs, and product inquiries daily, resulting in 4-8 hour response delays and missed sales leads.
Solution
Built a hybrid RAG system with pgvector and Claude 3.7 that parses customer inquiries, searches internal PDF documentation, and generates accurate answers with human-handoff triggers.
Architecture
- WhatsApp Business API webhooks ingesting incoming text, voice notes, and document files
- Hybrid RAG combining pgvector dense embeddings with BM25 keyword reranking
- FastAPI backend handling asynchronous LLM streaming and conversation state
- Automated audio transcription pipeline extracting lead data directly into CRM webhooks
Verified Results
Experience
Where I've applied these skills
2024 — Present
Founded and lead The Geni Solutions, an elite AI & software studio engineering autonomous LangGraph multi-agent workflows, enterprise RAG engines, and high-performance SaaS and mobile products.
- Architected and shipped Planfluence (planfluence.site), an automated meeting-to-backlog platform with Google Meet Chrome extension capture, Whisper transcription, Jira/Trello automation, and Slack recaps.
- Engineered GeniSteps (genisteps.thegenisolutions.com), a 100% local-first iOS & Android vitality companion leveraging silicon CoreMotion/sensor hubs, 4th-order DSP filters, and private SQLite WAL storage.
- Standardized an agile 4-phase AI delivery process (Strategy & Mapping → Benchmark POC → Full Engineering → Guardrailed Deployment) delivering <200ms agent SLA and 99.4% retrieval accuracy.
- Spearheaded multi-agent orchestrations, enterprise WhatsApp AI bots, and custom SaaS platforms across North America and global clients.
May 2026 — Present
Delivering production AI workflows, full-stack Next.js/NestJS platforms, and cloud DevOps systems for high-growth tech startups and international clients.
- Consulting on AI agent architecture, hybrid RAG pipelines, and conversational voice systems.
- Building scalable REST APIs, microservices, and database schemas with PostgreSQL and Prisma.
- Maintaining a 100% Job Success Score with verified 5-star client contracts.
Open Source
Related open-source work
get-express-app
Published NPM CLI package solving developer scaffolding and boilerplate friction with production-ready Express.js and TypeScript templates.
Mini Vercel Clone
Custom cloud deployment engine with Node.js, Docker, AWS S3 & Webhooks for automated git-push builds and reverse-proxy routing.
Process
How I work
Requirements & Schema Design
Define API contracts, database schemas, and event flow diagrams before coding.
Core API Development
Build domain modules with proper validation, error handling, auth, and OpenAPI docs.
Performance & Scale
Add caching, background queues, database indexing, and load testing.
Deploy & Monitor
Zero-downtime deployment pipeline with health checks, logging, and rollback capability.
Related Writing
Engineering articles
Scaling APIs and Optimizing Response Times to Stay Under 500ms
Why 500ms matters at peak traffic: database query reduction, Prisma batching with include, Redis caching layers, and database index tuning.
Zero Downtime Deployments: Blue-Green Strategy with PM2 and GitHub Actions
Eliminating deployment downtime: orchestrating dual isolated environments, zero-drop Nginx reverse-proxy switching, and automated rollback workflows.
How to Deploy an Express.js App on an Ubuntu Server using PM2 and Nginx
Production server configuration from scratch: firewall hardening, PM2 process clustering, reverse proxy rules, and automated SSL certificate renewal.
FAQ
Frequently asked questions
What API response times do you typically achieve?
Sub-85ms p95 response times in production. I achieve this through database index optimization, Redis caching layers, query batching with Prisma, and async job offloading via BullMQ.
Do you build microservices or monoliths?
It depends on the project scope. For enterprise systems, I use NestJS modular microservices with Kafka event streams. For smaller products, a well-structured monolith with clear domain boundaries is more efficient.
How do you handle zero-downtime deployments?
Blue/Green deployment strategy with PM2 cluster mode behind Nginx. Traffic shifts atomically between environments, with automated rollback if health checks fail. I wrote a detailed blog post about this approach.
Can you optimize an existing slow API?
Yes. I audit database queries, add composite indexes, implement Redis caching, batch N+1 queries with Prisma include/select, and offload heavy processing to background queues.
Need a scalable backend built?
From REST APIs to distributed microservices — I build backends that handle production traffic without breaking.