About Us

Building the foundations for trusted AI, governed knowledge, and better business decisions.

ApplyDataAI helps organizations move beyond fragmented data, isolated AI experiments, and static reporting. We design the data, knowledge, and decision architecture that makes AI practical, explainable, and useful in real business environments.

Our focus is simple: help organizations build AI-ready foundations and deploy the Agentic Knowledge Engine Platform so teams can access trusted knowledge, strengthen decision-making, and create measurable business value.

What We Believe

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Decisions First, Tools Second

We start with the business decisions that matter most. Technology only creates value when it improves how leaders and teams understand situations, evaluate options, and act with confidence.

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Data Must Move All the Way to Action

Data only creates value when it travels the full path from raw records to information, to knowledge, to forward-looking intelligence, and finally to actions taken in the real world.

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Human Judgment + AI Works Best

The goal is not to replace people with black-box automation. The goal is to give people better context, stronger intelligence, and more reliable support so they can make better decisions.

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Practical Over Hype

We are not here to chase trends. We are here to help you implement architectures, workflows, and operating models that you can sustain.

Core Team Members

Data and AI Lead

Tariq Alam

Tariq is the driving force behind ApplyDataAI and leads both the Business Intelligence platform design and AI Transformation consulting.

He brings more than twenty years of experience in data analytics and business intelligence, including leading large-scale data and AI initiatives for a Fortune 500 technology company. His background spans the full data lifecycle: ingesting and integrating massive datasets, building robust analytics platforms, designing semantic models, and guiding executives in data-driven decision making.

Tariq has worked extensively with modern data and AI stacks, including cloud warehouses and lakehouses, orchestration tools, visualization platforms, and AI agent frameworks. This combination of architectural depth and business focus allows him to design solutions that are technically sound, scalable, and clearly linked to business outcomes.

At ApplyDataAI, Tariq's role is to help organizations design realistic Business Intelligence roadmaps and implement solutions that connect data to decisions in a measurable way.

Business Development Lead

Mohammed Shahidul Islam

Shahid brings more than twenty-five years of engineering and project leadership experience across data centers, petrochemicals, oil and gas, utilities, and the power sector. With a background in electrical engineering, an MBA, and professional credentials such as P.Eng, PMP, and PMI-RMP, he combines deep technical understanding with strong business and risk management skills.

He has led complex projects involving procurement, contracts, risk assessment, and stakeholder coordination. That experience translates directly into how ApplyDataAI structures engagements, manages expectations, and delivers value.

As Business Development Lead, Shahid ensures that every project is grounded in clear objectives, well-defined scope, and a practical path to execution, so clients see tangible benefits from their data and AI investments.

Technical Lead, Data Engineering

Arin Bakht

Arin leads data engineering at ApplyDataAI and supports the delivery of scalable, reliable data pipelines that power analytics, reporting, and AI-ready platforms.

He brings more than 10 years of experience in data engineering, along with a strong software development background across backend, web, and mobile systems. Earlier in his career, he worked on research data analysis using tools such as MATLAB and R, and built production applications using Python, Java, SQL, and modern engineering practices.

At ApplyDataAI, Arin’s role is to ensure that client data foundations are dependable and production-ready—clean ingestion, well-structured transformations, and maintainable pipelines—so Business Intelligence insights and AI agents can run with accuracy, consistency, and trust.

Technical Lead, Data Science

Sanjir Salsabil

Sanjir is our specialist in machine learning, data science, and data engineering. He has several years of hands-on experience applying advanced analytics in industry and holds a Master's degree in Data Science & Big Data Analytics from the University of Alberta, along with a Bachelor's degree in Computer Science focused on AI and computational intelligence.

He holds multiple professional certifications in analytics and cloud data engineering and has worked on initiatives ranging from multimodal retrieval-augmented generation to master data management, data governance, and AI-based metadata tagging. His recent work includes fine-tuning large language models for content moderation.

At ApplyDataAI, Sanjir ensures that our solutions use the right models and techniques for each problem, and that they are implemented in a reliable, maintainable way on top of modern data platforms.