fromdemoproductionspecialists

Ready to Make AI part of the system, not a spark?

I weave AI into systems that hold up under real users, real load, and real budgets without the sticker shock.

20+
products shipped
6
industries served
99.9%
uptime maintained

$

model
router-v2
region
eu-west
queue
1 waiting
  1. Screen the prompt12ms · clean
  2. Route to the right model···
  3. Serve repeats from cache···
  4. Check the output···
  5. Ship to users···

1,240

tokens served

380ms

p95 latency

$0.42

per 1k reqs

99.9%

uptime

$ serving a live request…

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The Imitation Game · 1950

Ask Turing: can machines think?

“”

Seventy-six years ago Turing asked if a machine could pass for a human. The machine passed. The test worth running now is its output: does what it helps us build survive real users, real load, and real costs?

Portrait of Areesha at her desk

20+

products shipped

6

industries served

99.9%

uptime maintained

Hello, I'm Areesha

I design and build AI integrated products from start to finish, and I help teams turn fragile demos into systems their users can rely on.

Anyone can ship something impressive in a weekend. The hard part is what comes after: real users, real load, real bills. That part is where most AI projects quietly fall apart.

I work on that part. Architecture that holds under load, models that behave in the wild, and interfaces people actually enjoy using. If it has to survive contact with reality, it's my kind of project.

AI & ML
Design
Full-Stack
Automation

Skills I use most

The ones I reach for most these days. Drag them around, click to flip.

training

Classifier Training

flip me

Multiclass + multilabel, eval harnesses, production tuning.

training

Reinforcement Learning

flip me

Reward shaping, environments, policy optimization.

training

Vision Models

flip me

CNNs, ViTs, fine-tuning, data pipelines.

models

Local LLM Hosting

flip me

Qwen family, vLLM, Ollama, GGUF on my own hardware.

retrieval

RAG at Scale

flip me

Enrichment, retrieval strengthening, hybrid search, re-ranking.

retrieval

Graph Knowledge

flip me

GraphRAG, entity resolution, structured context.

agents

Coding Agents

flip me

Open-source agent dev, tool-calling, orchestration.

agents

Context Mgmt

flip me

Windowing, compaction, long-horizon memory.

systems

Optimizations

flip me

LLM routing, caching, distillation, cost-aware design.

systems

AI Search Systems

flip me

Retrieval analysis, ranking, personalization.

classical

Algorithms & CS

flip me

Data structures, complexity, optimization. Not everything needs an LLM.

fullstack

.NET + Python

flip me

Backends, transformers, orchestration, fullstack.

What I do best

Research, code, and design, combined into one pipeline. These are the tools I reach for when a demo needs to become a product.

AI & Machine Learning

LLMs, recommendation engines, custom model training.

From prompt pipelines to fine-tuned models that hold up in production traffic.

Computer Vision

Detection, OCR, image understanding.

Pipelines that turn raw photos into structured, usable signals.

NLP & RAG

Semantic search, chat over private docs.

Answers with citations, not vibes. Retrieval your lawyers can trust.

Agents & Automation

Voice agents, scheduling, workflow automation.

Software that does the boring parts of the job without supervision.

Data & MLOps

Pipelines, evals, monitoring, cloud infra.

Because a model is only as good as the plumbing behind it.

Web & Product Engineering

React frontends, FastAPI and .NET backends.

Interfaces that make complex systems feel obvious.

Discover my work

Six systems that made it past the demo stage. Open any of them for the full story: the challenge, the architecture, and what happened next.

Client names and datasets stay confidential. Metrics shown are from pilots and production logs I'm allowed to share.

How I'll work with you

Every project follows the same honest path. You always know what stage I'm in and what happens next.

1

Discover

1 week · questions > answers

Goals, users, constraints, and the data you already have. This shapes everything after it.

2

Design

You approve a prototype first

System architecture and model choices, sketched and pressure-tested before a line of production code.

3

Build

Weekly demos, no black boxes

Data pipelines, backend, trained models, and a frontend that makes the AI feel simple.

4

Ship & sustain

Alerts before your users notice

Deployed, monitored, and costed. Then I watch real traffic and fix what only reality can teach me.

Where I've been

From a full scholarship at Habib to full-stack AI product architecture — the people, teams, and labs along the way.

01

Computer Science

Habib University

2025 · Bachelor's

Full scholarship (100%), 3.8 GPA. Multiple times Dean's List and President's List.

01 / 08

Let's build something that lasts

Tell me what you're building and where it's stuck. I'll reply with an honest read on how I'd fix it.

Booking projects Lessgo!

Have a rough idea, a weekend demo, or a product your users already love? Tell me where you are headed. Every project starts with a friendly conversation.

Reach me directly

Usually replies within 24 hours.
NDA-friendly. Your data stays yours.

No newsletters, no spam. Just a reply from a human who read your message.

A little side project

The Sticker Vault

I keep losing my stickers, so I made a place to keep them. Every design belongs to its creator. Grab one, no strings attached. And you get a cute checkout experience for free! hehe

BlossomBlossom
BubblesBubbles
Can't DanceCan't Dance
CheriCheri