AI Agents & Automation
Tool-calling agents that run real workflows — orchestration, guardrails, retries and tracing. From idea to production.
- Multi-agent orchestration
- Tool & API integrations
- Guardrails + retries
- Tracing & cost caps
// what i offer
From a first prototype to a system in production — here's how I can help you ship AI that actually works.
Tool-calling agents that run real workflows — orchestration, guardrails, retries and tracing. From idea to production.
Chatbots, copilots and LLM features wired into your product — streaming, function calling, evals.
Answer from your own documents, not vibes. Chunking, embeddings, reranking and an eval harness that proves it works.
The product around the model — fast APIs, clean interfaces, and the infra that ships it.
Serve models at sane latency and cost — containers, pipelines, monitoring and CI/CD.
Pipelines, training and fine-tuning for what a prompt can't fix. Clean data in, reliable models out.
// specializations
OpenClaw Agents
Hermes Agent // hire me
Pick the way that fits — fixed-scope gigs or ongoing contract work.
// how i work
We scope the problem, success metrics, data and constraints — so we build the right thing.
Architecture, model + retrieval strategy, and an eval plan before a line of production code.
Iterative delivery with working demos — accuracy, latency and cost treated as features.
Deploy with monitoring, tracing and docs — plus a clear path to iterate after launch.
// kind words
Feedback from the teams and founders I've built AI systems with.
Junaid shipped our RAG assistant end-to-end — retrieval quality was the difference between a demo and something our team actually trusts.
Rare to find someone who can train the model and build the product around it. Clean APIs, real evals, no hand-waving.
The agent he built runs unattended every night. Guardrails, retries, tracing — it just works, and when it doesn't we know why.
Fast, communicative, and obsessed with latency and cost. Our inference bill dropped while quality went up.
Junaid shipped our RAG assistant end-to-end — retrieval quality was the difference between a demo and something our team actually trusts.
Rare to find someone who can train the model and build the product around it. Clean APIs, real evals, no hand-waving.
The agent he built runs unattended every night. Guardrails, retries, tracing — it just works, and when it doesn't we know why.
Fast, communicative, and obsessed with latency and cost. Our inference bill dropped while quality went up.
// service questions
A quick call or message to scope the goal, data and constraints — then you get a clear proposal with milestones, timeline and price before any build starts.
A working prototype usually lands in 1–2 weeks. Production systems (RAG, agents, full-stack apps) typically take 4–8 weeks depending on scope and integrations.
Fixed-scope gigs run through Fiverr, hourly and long-term contracts through Upwork or direct. Larger builds are split into milestone payments — no surprises.
Yes — remote-first and comfortable plugging into your repo, workflow and review process. I ship in your stack, not around it.
Every delivery includes monitoring hooks, docs and a handover walkthrough — plus an optional support window to iterate once real users hit the system.
Tell me what you're building — I'll tell you the fastest path to shipping it.
AI answers from Junaid's data — may be imperfect.