Most AI projects stall at the demo: no evals, no tenancy, no owner. I take one clearly scoped RAG or agent system and ship it live in your cloud, under your keys, with evals gating every deploy and a runbook so your team can take it over. Fixed scope, fixed price, fixed date.
Four pillars behind everything I build, from thin-slice MVPs to multi-tenant systems, built so scaling later doesn't mean a rewrite.
First token on screen in under a second, the same streaming layer running in DocuMind today.
Streaming interfaces, tool-calling UIs, and multimodal chat experiences that feel native, built with React, Server Components, and edge-first rendering. I build the functional UI for the AI surface itself; a full brand/design system is out of scope unless we agree it separately.
Multi-step agents that do the triage. 6 agent personas live in DocuMind right now.
Multi-step agents with tool-use, memory, and guardrails. Fine-tuned models for domain-specific tasks. Cost-optimized routing across OpenAI, Anthropic, and open-source.
Same low latency in Karachi and New York, no origin round-trip, measured on Workers.
APIs deployed globally on Cloudflare Workers, Durable Objects and edge KV, typically sub-50ms in my own systems, no cold starts, pay-per-request.
Hybrid retrieval across 12 embedding models, the retrieval core behind DocuMind.
Semantic search, knowledge retrieval, and context-aware agents powered by pgvector, Pinecone, and hybrid BM25 + embeddings. From ingestion to reranking.
I'm Daniyal: an AI systems engineer building production RAG, agents, and multi-tenant SaaS. I ship end-to-end: schema, edge runtime, streaming UI, security. No handoffs, no black boxes. Every system on this page is live software you can open right now, one GA, two in public beta. The numbers are my own measurements, and I'll walk you through how I got them on a call.
Three products I designed, built and run myself. No client work to show yet, so judge the engineering directly: open any of these, they are live, not mockups.
Retrieval-Augmented-Generation platform running in production. Upload PDFs/URLs or crawl a whole site, chunked, embedded and indexed in seconds. Multi-agent router, streaming citations, HMAC-signed widget, MFA-hardened admin, 53-table multi-tenant schema.
Embed one script, an AI assistant lives on your site, qualifies visitors in natural conversation, and auto-scores every lead Hot / Warm / Cold in real time. Team workspaces, email digests, HMAC-signed widget key, domain-locked to stop key theft, plus a Pro plan for scale.
A fast, streaming conversational shell built on TanStack Start and deployed to Cloudflare edge. Clean UI, SSE token streaming, no bloat, the foundation product that powers the AgenticCore studio.
Where I actually am right now: one product in general availability and two in public beta, all built and run by me. Instead of logos, open DocuMind, LeadCore and AgenticCore above and test them yourself. That's also why the terms lean your way: fixed scope in writing, code in your GitHub and cloud from the first commit, and you can stop between any two milestones and keep everything delivered.
Three fixed scopes, three fixed prices, no "starting from", no hourly surprises. You approve the scope document before a single invoice is sent.
Architecture review of your existing AI system, what breaks at scale, what it costs, what to fix first.
One production RAG or agent pipeline, live in your environment with evals guarding every deploy.
Multi-agent, multi-tenant platform with auth, RLS, observability and CI/CD, the whole stack, handed over.
From napkin sketch to global deployment in seven deliberate stages. No black boxes.
Map user intent, constraints, and cost envelope. Write the prompt spec before a single line of code, bad prompts scale worse than bad code.
Benchmark GPT-5, Claude 4.5, Llama, and open-source across your data. Eval-driven, never vibe-driven.
Streaming-first patterns, tool-call surfaces, interrupt handling. Designed like a product, not a chatbot.
Hono on Workers, D1 relational, R2 blobs, Durable Objects for state. Type-safe end-to-end with tRPC or ts-rest, with latency kept low by running close to the user. This is where most projects live or die.
LangGraph-orchestrated agents with retries, fallbacks, and per-call cost caps. Every LLM call is traced, budgeted, and reproducible.
Prompt-injection audits, per-user token budgets, JWT verification, RLS policies. Ship secure, not sorry.
Zero-downtime deploys via Wrangler, real-user monitoring, cost dashboards, and alerts on token spikes. You sleep, I sleep.
Anyone can promise outcomes. These are the guarantees I put in the contract, how the work is done, what you can audit, and exactly what you walk away owning on delivery day.
I don’t have client testimonials to show, and I won’t invent them. What I can show you is the engineering record: read the unedited DocuMind build log — the retrieval decisions, the things that broke in production, and what I would do differently.
Every non-obvious choice, model, chunking strategy, index, framework, is written down as an ADR in your repo, with the alternatives I rejected and why. Six months from now your team can audit any decision without needing me in the room.
Accuracy, latency and cost thresholds run as a CI gate on every push. If a prompt or model change regresses past the threshold, the build fails, before your customers find out. LLM drift stops being something you discover from a support ticket.
Code, infra and docs land in your GitHub and your cloud account, under your keys, on delivery day, not after a final payment, not after a retainer. You own 100% of the IP from the first commit.
Scope and price are agreed in writing before any invoice. Payment runs 40/30/30 across milestones, and if the agreed deliverable is not running in your environment by the agreed date, the final 30% milestone is not payable. Every milestone hands over working code in your repo, so you never pay for something you cannot see running.
You talk directly to the person writing the code, so a decision takes one message instead of a relay through account management. Scope, price and dates are agreed in writing up front, updates land every 48 hours in writing, and everything ships into your repo as we go. If your project needs a multi-person team, parallel mobile, brand design, 24/7 on-call, an agency is genuinely the better fit and I'll say so on the first reply.
You do. 100%, from day one. Code lives in your GitHub, infra runs on your Cloudflare/AWS. I only keep the right to describe the work in my portfolio, and not even that if you'd rather it stays private.
Small changes inside the agreed scope are absorbed. I don't nickel-and-dime. Anything that adds a new surface (new integration, new data source, new user role) gets a one-page change note with cost and timeline impact, which you approve before I touch it. No silent scope creep, no surprise invoice at the end.
Because you can verify it yourself before you spend a dollar. Three systems I designed, built and run are live right now, open them, break them, watch the streaming latency. On the call I screen-share the actual repo: schema, agent layer, eval harness, deploy pipeline. And the engagement is fixed-scope: if the agreed deliverable isn't running by the deadline, the final milestone isn't invoiced. Public systems you can open, a repo you can read, and terms that only pay out on working software: that is verifiable in a way a testimonial never is.
You contract directly with me as an independent engineer, invoiced from Karachi, Pakistan — one contract, no agency layer. The payment route is yours to pick: escrow through Escrow.com, which I set up and pay the fee for so money releases only when you accept a milestone, or direct bank transfer via Wise or Payoneer against a proper USD invoice, Net 7. The Systems Audit is invoiced after the report is delivered, nothing upfront. A mutual NDA, a DPA or a W-8BEN is signed before kickoff whenever your side needs it.
Send a scoped brief first, so a call is actually useful. I reply within one business day with a rough approach, timeline and price band, and set up a call by email if it makes sense. GMT+5.
No pitch deck, no booking link, no obligation. Write the problem in two sentences. I reply every weekday. If a call helps after that, we set one up over email.
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