Malahim Haseebbuilds AI systemsthat do the work.

Yes. Give me the requirements and I will figure out the architecture, build it, deploy it, and stay available after. I have shipped AI products solo for real companies. If there is a team, I can lead or fit into it depending on what is needed.

Before writing a single line of code, I make sure I understand the real problem, not just the feature list. I ask questions, document what I understand, and confirm with you. Then I break it into modules and share a plan. You approve the direction first. No surprises halfway through.

Deep work is the only kind I do. I research the problem properly, understand why existing approaches fall short, and build something that holds under real use. ContentAgent did not come from one prompt. It came from mapping exactly where AI output fails editorially, then designing a pipeline around those failure points.

I break the project into modules and estimate each one separately. That gives realistic timelines instead of guesses. I share the breakdown upfront, flag blockers early, and update you when something changes. No surprise deadline slips at the end.

I do not disappear for two weeks and show up with something wrong. I share progress at each module, ask when something is unclear, and respond fast. If something is taking longer than expected, you will know before it becomes a problem.

Yes. I explain what I am building in plain terms: what it does, why I chose the approach, what the tradeoffs are. You do not need to know what LangGraph is to understand that your AI system researches and writes content in five structured steps. I translate technical decisions into something that makes sense.

Yes. I have picked up unfamiliar codebases, understood how they work, and extended them without breaking what was already running. I read the code before I touch it.

Yes, either full time or ongoing project work. I am not a one and done freelancer. If the project grows, I can grow with it. Most of my best work has come from being trusted with something over months, not weeks.

Yes. I read Figma files, understand the design system, and build exactly what the designer intended. Responsive on mobile, tablet, and desktop. Every spacing, color, and interaction matches. I work with designers, not around them.

It depends on scope. A chatbot with a knowledge base is one kind of project, an agentic system with tool use and evaluation is another. I scope the first call before quoting, so you know what the build costs before anyone writes code.

I pick the framework per project. LangGraph for complex agentic systems where control flow and state matter, LangChain where the surrounding ecosystem fits better. The decision comes from the problem, not preference.

I test retrieval before wiring the model. Chunking, embeddings, and search quality get checked against real questions before the LLM is ever asked. Then I add evals so accuracy is measured, not assumed.

Yes. I have worked with existing codebases and added AI features without breaking what was running. I read the code first, then design the AI layer around it.

I build fallbacks. Retrieval fallbacks, model fallbacks, confidence handling, and human escalation paths. An agent that loops forever or answers from the wrong context is a failure mode I design against.