
Scalaar AI
AI systems for lean growth teams.
A practical operating system that connects automation, workflows, and growth, helping lean teams scale without adding more process or manual overhead.
I work across AI engineering, GTM execution, business development, marketing, and analytics. I find where time, information, or opportunities are getting lost, then build the workflow, tool, application, or analysis that makes the next action easier to own.
Explore my work01 / Building now
I am focused on products that turn repetitive growth work into clear, usable systems.

AI systems for lean growth teams.
A practical operating system that connects automation, workflows, and growth, helping lean teams scale without adding more process or manual overhead.

An AI sales agent for continuous follow-up.
An AI sales agent that captures, qualifies, and follows up with leads, keeping every conversation moving toward a clear next action.
02 / What I build for businesses
If a business process is consuming time, losing context, or creating missed opportunities, I map the workflow and build the useful parts around it.
Research, enrich, qualify, and route opportunities so the team knows who to contact, why they matter, and what should happen next.
Connect forms, conversations, customer questions, and qualification logic into one owned path.
Connect positioning, content, lead capture, follow-up, and reporting so growth work does not stay trapped in separate tools.
Use AI for repeatable work with context, guardrails, fallbacks, and human review where judgment matters.
Turn pipeline, conversion, and operational data into views that help teams decide what to fix next.
Build the applications, interfaces, and internal tools that make a workflow usable in the real world.
03 / How I contribute
Learn the audience, business process, data, constraints, tools, and success signal.
Identify where time, information, opportunities, or decisions are getting lost.
Create the smallest useful combination of code, AI, analytics, integrations, and human review.
Put the work into use, observe what happens, and make the next version easier to run.

04 / How I work
Learn the business context, data, people, tools, and constraints.
Identify what is slowing the decision, workflow, or next action.
Create the smallest useful combination of code, AI, analytics, and human review.
Put the work into use, observe what happens, and improve the next version.
05 / Current projects
Exploring prediction, classification, deep learning, and NLP through practical builds.
Building useful workflows with agents, integrations, guardrails, and human review.
Developing tools for lead discovery, research, qualification, and focused prospecting.
Building software that helps teams see the next action in the pipeline.
Testing product ideas where ads, leads, data, and follow-up meet.
06 / Tools I use
A focused toolkit for moving from business problem to working product, pipeline, or decision.
Build, orchestrate, and verify.
Cursor
Codex
OpenCode
AntigravityFind, enrich, and reach opportunities.
Instantly
Apify
LinkedIn Sales NavigatorProduction foundations with a clear job.









07 / Roles I am open for
AI pilots often look promising but fail to change how the business runs. Applied AI turns the right opportunities into dependable systems that reduce costs, accelerate decisions, and expand capacity.
Repetitive work consumes time, creates errors, and limits scale. Reliable automation removes that operational drag, shortening turnaround times and increasing output without increasing overhead.
AI agents become a liability when they lack context, guardrails, or clear ownership. Well-designed agentic systems reduce manual coordination and accelerate complex workflows while keeping critical judgment under human control.
Growth stalls when experiments move slowly and results remain unclear. Faster testing and stronger measurement reveal what drives acquisition, conversion, and retention—so winning ideas can scale.
Pipeline becomes unpredictable when targeting, qualification, outreach, and follow-up operate in silos. A connected GTM system improves lead quality, accelerates handoffs, and turns activity into sales-ready opportunities.
Revenue leaks when marketing, sales, CRM, and reporting tell different stories. One aligned revenue process creates cleaner data, stronger conversion, and more reliable forecasts.
Campaign performance suffers when automation, CRM, attribution, and lead management are disconnected. Marketing operations connects the stack to reduce wasted spend and improve conversion.
Fragmented data leaves teams debating what happened instead of deciding what comes next. Clear reporting turns scattered signals into actionable insights that expose risks and uncover opportunities.
Teams struggle to improve performance when metrics lack business context. Business analytics connects operational and commercial data to the decisions that improve margin, conversion, and efficiency.
Strong technical capabilities cannot create revenue when they are disconnected from customer needs. Translating those needs into relevant solutions strengthens partnerships, shortens sales cycles, and opens new markets.
AI products lose direction when model capabilities take priority over customer problems. AI product management aligns user needs, technical constraints, and commercial goals to build solutions people adopt and businesses can scale.
Hiring for a hybrid builder or fixing a workflow?