saad, software engineer

hi, i’m

I like owning a problem end to end: the data model, the backend, the infrastructure, and then sweating the interface until it feels right.

Most of the work is production systems that have to stay up under real traffic. The rest is making them feel considered rather than merely functional.

What I do

I work across the whole stack, from data models and APIs to AWS deploys and the interface itself. Most at home in the messy middle where product, performance, and infrastructure meet.

Frontend engineeringNext.js · React · TS
Backend & APIsFlask · FastAPI · Node
Infra & DevOpsAWS · Docker · CI/CD
UI/UXFigma · Prototyping

Stack

TypeScriptJavaScriptPythonC++ReactNext.jsNode.jsExpressFastAPIFlaskTailwind CSSMongoDBPostgreSQLRedisDockerAWSGit

LLM Logger

Next.js / Postgres / Redis / BullMQ

GitHub

Four-provider streaming chat
Queue-backed inference telemetry
PII-redacted metrics dashboard
Redis outage HTTP fallback
Pause and cancel lifecycle
Docker Compose deployment

GENOMIX

Next.js / TypeScript / Tailwind / Zustand

GitHub Live

Three algorithms built from scratch
Animated matrix and graph playback
Non-blocking Web Worker compute
Configurable alignment scoring
DNA validation and statistics
Curated learning examples

EventRouter

FastAPI / Postgres / SQLAlchemy / Docker

GitHub Live

One event, many independent deliveries
Postgres queue using SKIP LOCKED
Exponential backoff with jitter
Dead-lettering with one-call replay
Per-destination concurrency and circuit breaker
Live demo that stages a real failure

Saudi Road Risk Intelligence

React / FastAPI / Postgres / Geospatial risk

GitHub Live

2,987 explainable risk locations
Live incidents and weather signals
Bilingual RTL operations interface
Five-factor score breakdown
Interactive route selection
Won 2nd place at the Shaakk hackathon
FastAPI and Neon persistence

Work experience

- Shipped close to 100 commits across the frontend and backend, spanning property discovery, SEO, listings, maps, guides, admin tooling, and core APIs.
- Built an AI property recommendation agent with n8n and OpenAI, automating lead qualification end to end and cutting manual work by over 60 percent.
- Architected the AWS setup: Dockerized microservices on ECS Fargate with GitHub Actions CI/CD, ECR, IAM, VPC, and CloudWatch, holding 99.9 percent uptime.
- Built backend data services with MongoDB aggregation pipelines, full-catalog caching, and tokenized search that cut response payloads by 73 percent.
- Owned SEO and routing hardening across the search pages: backend location resolution, canonical redirects, sitemap regeneration, and refresh-safe filters on desktop and mobile.
- Built a map-based property discovery experience with a split map and list view, bounding-box-backed fetching, mobile drawers, and interactive map pins.
- Built a Flask backend with RESTful endpoints for clean client-server communication and efficient database access.
- Built a responsive Next.js and Tailwind frontend that improved page load performance by 35 percent and lifted usability scores in internal testing.

Education

BTech, Computer Science and Engineering (CGPA 8.71)Vellore Institute of Technology2021 to 2025

Production systems·End-to-end ownership·Cloud infrastructure·AI workflows·Performance by default·Interfaces that hold up·Production systems·End-to-end ownership·Cloud infrastructure·AI workflows·Performance by default·Interfaces that hold up·

Need an engineer who can own the whole stack? Let's talk.

saadmohammedhan7@gmail.com

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