AI product engineering · technology advisory
Turn a workflow bottleneck, a product idea or a struggling platform into a clear delivery plan. MahumTech brings product judgment, architecture and hands-on engineering to the work, with defined responsibilities and a path into operation.
Selected founder-led engagements
Selected examples from engagements led by MahumTech's founder, including work delivered through other organizations. These examples show the founder's experience. Client identities remain private.
9 selected engagements · identities withheld
Commercial AI
Led product and engineering work on an AI customer-operations SaaS business that exceeded $1M ARR. Delivery included inquiry and finance agents, integrations and human escalation.
Business exceeded $1M ARR · founder-led engagement
Regulated healthcare
Delivered NLP-to-SQL analytics across 50 pharmacy locations, with validated queries, auditability and an operator correction loop.
Live across 50 pharmacy locations
Commerce operations
Built a multi-intent support agent integrating email, commerce, shipment tracking, knowledge rules and human escalation.
Connected commerce systems · human-gated automation
Private legal AI
Built private, on-premises legal-intelligence workflows in a client-controlled environment, with governed retrieval, drafting assistance, and human review.
On premises · client-controlled data boundary
Enterprise integration
Delivered an enterprise AI API secured with Entra ID, OAuth2/JWT, tenant and user access controls, strict JSON contracts, and production Azure deployment.
Identity-gated · production Azure deployment
Financial services
Built an agentic workflow for evidence gathering, structured case analysis, risk and complexity assessment, collection mandates, and expert review.
Cross-border decision workflow · human validation
Knowledge work
Delivered AI-assisted technical-document generation with enterprise search, section-aware assistance, structured editing, templates, and workflow integration.
Private knowledge workspace · structured authoring
Conversational operations
Delivered multi-step voice and messaging qualification, scheduling, and live-call transfer with monitoring, runbooks, security controls, and operator handoff.
Live human transfer · operational handover
Executive technology leadership
Led a three-month interim-CTO engagement through platform stabilization, delivery governance, architecture, security and privacy controls, and beta readiness.
Three-month stabilization · beta-readiness handover
This record includes Pendoah-delivered and independent confidential engagements led by MahumTech's founder. They are presented as leadership and delivery evidence; no engagement is relabeled as a MahumTech contract.
Operating model
Understand the workflow and its users. Design the system around the decisions people need to make, then carry it into operation.
Research the users, source systems and decisions. Choose the problem worth solving and define a realistic first release.
Connect the workflow to existing systems, with recoverable steps and clear paths for people to review or take over.
Use acceptance criteria and realistic verification to check the system before relying on it in daily operations.
Establish access, ownership, support and human review so the team can operate the system and handle exceptions.
Senior team delivery
MahumTech works with senior operators who can move between product strategy, system design, implementation detail, delivery recovery, and executive decision-making without losing the evidence trail.
Product and executive leadership
Technology strategy, product decisions, architecture, security, and delivery governance stay connected from diligence through production handover.
Principal architecture
Identity, tenancy, data authority, retrieval, tool permissions, evaluation, and human approvals are treated as system architecture—not prompt decoration.
Engineering and platform delivery
Senior product, application, data, cloud, and AI engineers work across the full stack, including tests, deployment evidence, observability, and runbooks.
Regulated and high-consequence work
Least-privilege access, auditable queries, source grounding, exception paths, and explicit review gates support healthcare, legal, financial, and enterprise workflows.
Production agent systems
Multi-agent orchestration and durable execution pair structured state with context engineering, hybrid RAG, reranking, citations, and bounded memory.
MCP tool surfaces, authenticated APIs, and scoped agent interoperability are introduced only when cross-system exchange is justified; otherwise the surface stays closed.
Release gates combine deterministic and adversarial evals with GenAI observability for model, retrieval, tool, cost, latency, and approval evidence.
Least-privilege access and HITL controls map to NIST AI RMF and OWASP GenAI and agentic risks; ISO/IEC 42001 is treated as readiness work, not a certification claim.
Leadership
Sarosh Hussain
Founder and controlling decision-maker, MahumTech · CTO & Partner, Pendoah
Commercial AI CTO and former enterprise CIO with responsibility across product strategy, architecture and engineering delivery. Pendoah engagements and independent work retain their own company and contract attribution.
Public open-source proof
CrewScore and GitPin show the same control, evidence, and release disciplines used in client delivery. Both are public and released; no commercial traction, revenue, or adoption is implied.
2 open-source releases
AI agent guardrails
Released open source
crewscore.ai
An offline deterministic check for 23 published controls across eight dimensions—not proof of runtime safety.
Agent delivery assurance
Released open source
shmindmaster.github.io/gitpin
GitPin v0.6.3 is a read-only, Git-HEAD-pinned search → prove → verify gate with re-checkable path, line, and commit evidence.
Open-source adoption
Start with the published controls and verification boundaries, then decide whether either tool belongs in your agent-delivery workflow.
Start with the workflow, product or delivery problem. Scope and responsibilities are agreed around the work.
Product and workflow discovery
Understand the user, the workflow and the business decision before committing to a build. Define the scope, integrations and evidence that will show the product is useful.
Discuss product discoveryAI product engineering
Connect AI assistance to the systems people already use. Design access, source information and human review around the decisions the workflow makes.
Discuss an implementationArchitecture and delivery recovery
Find what is blocking reliable delivery. Establish a practical architecture and repair plan, with clear priorities and an accountable handover.
Discuss delivery recoveryFractional technology leadership
Connect product priorities, architecture and engineering execution. Shape the engagement around the responsibility and support your team needs.
Discuss technology leadershipPrefer async or phone? Use the form or call +1 346-420-5659.
Bring a workflow to improve, a product to build, or a delivery program that needs a clearer path into operation.
Share your inquiryContact
Tell us the workflow, constraint, decision owner, and intended outcome. Your message goes directly to the MahumTech team for a bounded next-step decision.
Name the operating outcome, delivery constraint, or architecture boundary you need to address.
Share the operating constraint, decision owner, and what must remain human-reviewed.
Continue to a scoped delivery conversation, an open-source evaluation path, or a clear no-fit.
Use the form or email [email protected].
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