Featured Projects

Real problems. Real solutions. Here's how I've helped businesses build and scale their tech.

01
Real-time monitoring for enterprise cloud ops
Case Study #01

Cloud Infrastructure Dashboard

Real-time monitoring for enterprise cloud ops

The Problem

A fast-growing SaaS company had zero visibility into their multi-cloud infrastructure. Manual monitoring caused 6+ hours of undetected downtime per month.

The Solution

Built a real-time analytics dashboard with WebSocket-powered live metrics, automated alerting, and multi-cloud aggregation. Custom widgets for CPU, memory, network, and cost tracking across AWS and GCP.

42% cost reduction99.9% uptime<2s alert latency
Next.jsTypeScriptWebSocketsPostgreSQLRedisDockerAWS
02
Intelligent agents that work while you sleep
Case Study #02

AI Automation Platform

Intelligent agents that work while you sleep

The Problem

A marketing agency was spending 30+ hours per week on repetitive data entry, report generation, and client communication tasks.

The Solution

Engineered an AI agent platform with LangChain and custom workflows. Automated report generation, email drafting, data extraction, and client onboarding with human-in-the-loop review steps.

30hrs/week saved85% automation rate3x client capacity
PythonLangChainOpenAIReactFastAPIPostgreSQLRedis
03
High-converting checkout for modern retail
Case Study #03

E-Commerce Platform

High-converting checkout for modern retail

The Problem

An online retailer was losing 68% of customers at checkout due to a clunky legacy payment flow and poor mobile experience.

The Solution

Rebuilt the entire storefront and checkout pipeline from scratch. Integrated Stripe for payments, implemented real-time inventory sync, and designed a mobile-first UX with one-click checkout.

68% less cart abandonment47% higher conversions2.1s page load
Next.jsTypeScriptStripePostgreSQLTailwind CSSVercel
04
50K+ daily interactions, zero downtime
Case Study #04

Telegram Bot Ecosystem

50K+ daily interactions, zero downtime

The Problem

A growing community needed automated moderation, payment processing, and AI-powered customer support within Telegram, existing bots couldn't handle the scale.

The Solution

Built a distributed bot architecture using grammY with Redis-backed sessions, queue-based payment processing, and GPT-powered conversational support. Handles 50K+ daily interactions with horizontal scaling.

50K+ daily interactions0 downtime<200ms response time
TypeScriptgrammYRedisPostgreSQLOpenAIDockerBun