We Audit Evidence

A proprietary protocol to validate technical truth

A resume is a marketing brochure. We treat it as a series of claims requiring verification. We use a proprietary, evidence-based framework to validate technical competence, quantified impact, and consulting capability. If they can't prove they built it, they don't make the network.

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The Philosophy

We work exclusively with senior-level freelance specialists who have already built, deployed, and maintained complex data and AI systems in real production environments. Our focus is not on quantity; it is on precision.I nstead of sending dozens of profiles, we deliver three carefully selected specialists who genuinely fit your technical stack, business context, and delivery expectations.

What Makes Mahala Different

Curated, Not Crowdsourced
Our network is intentionally small and selective. Every specialist is personally vetted; we do not pull from open marketplaces or job boards.
Business Impact First
We evaluate candidates based on outcomes, not buzzwords. We look for engineers and scientists who have driven measurable results such as cost
reduction, fraud prevention, system scalability, and operational efficiency.
Senior-Only Network
Every specialist has significant hands-on experience delivering complex systems in demanding environments, including enterprise, scale-ups, and regulated industries.
Fast and Predictable Delivery
You receive three qualified profiles within 72 hours. No endless interviews. No wasted time.

Step 1: Provisional Scoring

We execute a first-pass analysis, identifying gaps where the claims are vague. ("Managed cloud migration" Which cloud? What volume? What downtime?

Step 2: The Enrichment Loop

We challenge the candidate. We ask specific, forensic questions to fill the gaps.

"You claimed you reduced latency. Show us the before-and-after metrics."

"You listed Terraform. Walk us through your state file management strategy."

Step 3: The Freelancer Passport

The result is not a CV. It is a Data Object: a Freelancer Passport that contains their verified scores, their technical archetype, and the specific evidence of their capabilities.

The Mahala Scoring Framework

We use an internal proprietary scoring model to quantify the three signals thatactually predict success in enterprise Data & AI roles. To enter our network, aspecialist must score 75/100 or higher.

01. Technical Acumen (The Code)

Does the architecture hold up? We don't just look for keyword matches Python, Kubernetes). We look for the truth: Can they explain why they chose that stack? Can they detail the trade-offs between Snowflake and Databricks for a specific use case?

02. Impact & Execution (The ROI)

Did it actually work? We ignore inputs Built a model) and focus on outputs. We require measurable ROI evidence. If they cannot quantify their impact, we cannot accept their claim.

03. Consulting Aptitude (The Fit)

Can they lead? Technical skills fail without communication. We assess problem ownership, stakeholder management, and the ability to push back against bad requirements.

The Pass Mark

The 75/100 Threshold.

We reject highly skilled engineers if they cannot communicate to the right audience. We reject excellent communicators because their work isn't proven.

The Mahala Standard ensures that the person taking part in your organisationon Day 1 is not just a coder, but a Reliable Executor, an End-to-End Owner ora Strategic Partner.

Find Your Perfect Fit

Elite Data or AI Engineer?  Join Our Network.

If you have the experience, quantified impact, and a production-grade portfolio 5 years minimum), apply to the network.

Apply to Join the Network