Amin Ahmed Khan, Coach in Dubai, United Arab Emirates
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Amin Ahmed Khan

Coach

Dubai, United Arab Emirates

Toptal member since December 15, 2025

Bio

Amin is an AI coach who helps teams and leaders confidently adopt AI in their daily work. He specializes in guiding non-technical and technical professionals to collaborate effectively with AI, turning uncertainty into practical workflows and real business outcomes. With a strong background in GenAI, Amin bridges advanced AI capabilities with responsible, people-first adoption across enterprise environments.

Expertise

  • AI Adoption
  • AI Agents
  • AI Workflow Design
  • Make.com
  • Microsoft Copilot
  • Zapier
  • n8n

Work Experience

Data and AI Solutions Architect

2024 - PRESENT
Platformance.io
  • Coached enterprise teams to confidently adopt AI in their daily work, moving them from experimentation to consistent, real-world usage.
  • Helped business and operations teams understand where AI fits into their workflows, focusing on decision-making, speed, and quality of output.
  • Guided teams to collaborate effectively with AI, focusing on mindset and workflow rather than treating it as a complex technical system.
  • Designed AI adoption playbooks that translated business problems into clear, repeatable AI use cases.
  • Enabled teams to use AI tools safely and responsibly, setting clear boundaries around trust, validation, and human judgment.
  • Guided hands-on AI coaching sessions using tools like n8n and Zapier to automate routine work and free up time for higher-value thinking.
  • Coached teams on using voice and conversational AI with ElevenLabs for customer engagement, sales, and internal productivity.
  • Supported leaders in understanding AI capabilities and limitations, helping them make informed decisions without needing technical depth.
  • Established simple AI governance and usage guidelines that reduced risk while encouraging experimentation.
  • Built a culture of AI confidence by focusing on practical wins, measurable outcomes, and continuous learning.

Solutions Architect

2022 - 2024
Sudofy
  • Coached business teams to adopt AI and automation confidently, focusing on everyday workflows rather than technical complexity.
  • Helped non-technical stakeholders identify high-impact automation and AI opportunities across operations, sales, and support.
  • Directed hands-on enablement sessions to show teams how to work alongside AI tools instead of feeling replaced by them.
  • Designed simple, repeatable AI and automation playbooks that teams could apply without engineering support.
  • Guided teams in building automated workflows using tools like n8n and Zapier to reduce manual effort and operational delays.
  • Supported leaders in understanding AI capabilities, limitations, and risks to make informed decisions.
  • Coached teams on responsible AI usage, ensuring human oversight, validation, and accountability.
  • Translated business goals into clear AI-assisted processes that delivered measurable productivity gains.
  • Built a culture of experimentation by encouraging small wins and continuous learning with AI tools.
  • Acted as a bridge between business users and technical teams, ensuring AI solutions stayed aligned with real business needs.

Team Lead

2021 - 2022
INK Content
  • Spearheaded and coached content and creative teams to adopt AI as a collaboration partner, improving speed without sacrificing quality or originality.
  • Helped writers, editors, and strategists overcome AI hesitation by showing practical, day-to-day use cases in content creation.
  • Designed AI-assisted content workflows that supported ideation, outlining, drafting, and refinement while keeping the human voice central.
  • Trained teams on using generative AI tools for research, brainstorming, and audience insight development.
  • Introduced automation tools like Zapier, Make, and Airtable to streamline content operations and reduce manual coordination.
  • Coached teams on using voice and audio AI tools such as ElevenLabs for narration, podcasts, and multimedia content.
  • Established quality and review frameworks to ensure AI-generated content met brand, tone, and ethical standards.
  • Supported leadership in understanding how AI could scale content output responsibly without eroding creative identity.
  • Fostered a culture of experimentation by encouraging small AI wins and shared learning across the team.
  • Acted as a bridge between creative teams and technical partners to ensure AI tools supported real creative needs.

Senior Software Engineer

2019 - 2021
INK Content
  • Enabled content and product teams to adopt AI tools confidently by translating technical capabilities into practical, everyday use cases.
  • Collaborated closely with writers, editors, and strategists to embed AI into content workflows without disrupting creative quality.
  • Acted as a technical coach, helping non-technical team members understand how to collaborate effectively with AI systems.
  • Designed AI-assisted workflows for ideation, drafting, summarization, and optimization while keeping human oversight central.
  • Supported teams in selecting and using the right AI tools for content creation, research, and automation.
  • Introduced workflow automation using tools like Zapier, Make, and internal scripts to reduce manual coordination work.
  • Helped teams experiment with voice and audio AI tools, including ElevenLabs, for narration, explainers, and multimedia content.
  • Established lightweight validation and review practices to ensure AI-generated outputs met editorial and brand standards.
  • Collaborated with leadership to align AI usage with business goals rather than chasing tools or trends.
  • Encouraged a culture of experimentation by enabling small, low-risk AI wins and shared learning across teams.

Software Engineer

2017 - 2019
INK Content
  • Supported content teams by integrating AI tools into everyday workflows to improve speed and consistency.
  • Worked closely with writers and editors to turn AI into a practical assistant rather than a replacement.
  • Helped teams use generative AI for research, ideation, and summarization while maintaining human oversight.
  • Built and maintained lightweight automations to reduce repetitive content operations work.
  • Assisted in integrating voice and audio AI tools for narration and multimedia content.
  • Collaborated with non-technical stakeholders to understand content needs and translate them into workable solutions.
  • Encouraged responsible AI usage by validating outputs and maintaining editorial standards.
  • Contributed to experimentation with new AI tools and workflows across creative projects.
  • Improved internal processes by connecting tools through APIs and automation platforms.
  • Supported a culture of learning by sharing AI usage tips and best practices with the team.

Junior Software Engineer

2015 - 2017
EdgyLabs.com
  • Contributed to building and improving web applications by working closely with senior engineers and product teams.
  • Assisted in integrating APIs and 3rd-party services into existing systems.
  • Worked on front-end and back-end tasks, gaining hands-on experience across the full development lifecycle.
  • Helped automate small workflows and repetitive tasks to improve team productivity.
  • Learned and applied best practices in clean code, debugging, and version control.
  • Collaborated with designers and non-technical stakeholders to understand requirements and implement features.
  • Supported testing and bug fixing to improve application stability and performance.
  • Experimented with early AI and automation tools to enhance internal processes.
  • Participated in code reviews and knowledge sharing sessions.
  • Grew rapidly by taking ownership of small features and iterating based on feedback.

Project History

Multi-agent Real Estate Qualification System with Voice and AI Agents

https://agents.platformance.io/

Built an advanced multi-agent voice qualification system for real estate that automates lead engagement, discovery, and handover.

The platform combines real-time telephony with agentic AI to conduct natural conversations, ask dynamic qualifying questions, and adapt based on user intent. Using LangGraph and tool-using agents, the system orchestrates reasoning, memory, data retrieval, and CRM actions across multiple stages of the call. A dedicated voice pipeline integrates Twilio, Speech-to-Text, and ElevenLabs for low-latency, humanlike dialogue. Agents classify lead types, branch into relevant workflows, validate investment readiness, and capture structured data without human intervention.

The solution reduces manual calling effort, increases qualification accuracy, and ensures every prospect receives a consistent, high-quality experience. Designed for scalability and reliability, it demonstrates the power of autonomous AI agents in real-world business operations.

INK GenAI Writing Engine | LLM Content Platform

https://inkforall.com/

Developed a high-performance GenAI writing engine powering INK's content platform, used by more than a million users worldwide for real-time content creation.

The system combines LLMs, retrieval pipelines, and evaluation workflows to generate high-quality, SEO-optimized, and context-aware writing. Built on a modular architecture, the engine integrates RAG for factual grounding, personalization models for tone adaptation, and advanced prompt chaining for multi-step content tasks, such as outlining, drafting, rewriting, and summarization.

I implemented data processing pipelines using Databricks, PySpark, and Delta Lake to prepare large-scale training datasets while ensuring consistency and quality. I designed evaluation systems to benchmark model performance, detect hallucinations, and continuously optimize results across releases. I also developed scalable inference components on AWS Lambda and Kubernetes, enabling low-latency LLM responses at high traffic volumes.

This project demonstrates expertise in production-grade GenAI engineering, covering end-to-end model integration, RAG optimization, scalable back-end design, and high-impact user experience delivery for large consumer platforms.

Serverless Modular | Multi-tenant Serverless Framework

https://www.serverless.com/plugins/serverless-modular

Developed a fully modular serverless framework designed for multi-tenant SaaS applications, enabling rapid deployment of feature-isolated microservices with shared authentication, logging, and observability layers.

The solution utilizes AWS Lambda, Amazon EventBridge, Amazon DynamoDB, and Amazon API Gateway to deliver a highly scalable and cost-efficient architecture that automatically adapts to changing traffic patterns. I built reusable modules for user management, billing, messaging, reporting, and AI integration, enabling teams to develop new applications with minimal overhead. I also implemented strong tenancy isolation, IaC automation, and CI/CD pipelines to enable fast, safe deployments.

This architecture powers multiple production products and dramatically reduces development time for new features and client-specific customizations.

Education

2012 - 2015

Bachelor's Degree in Computer Science

Karachi University - Karachi, Pakistan

Certifications

SEPTEMBER 2025 - PRESENT

Build AI Agents and Chatbots with LangGraph

LinkedIn

SEPTEMBER 2025 - PRESENT

Build with AI: Building a Copilot with Azure AI Foundry

LinkedIn

AUGUST 2025 - PRESENT

Model Context Protocol (MCP): Hands-on with Agentic AI

LinkedIn

OCTOBER 2024 - PRESENT

Artificial Intelligence on Microsoft Azure

Microsoft

OCTOBER 2024 - PRESENT

Introduction to Generative AI

Duke University | via Coursera

SEPTEMBER 2024 - PRESENT

LangChain – Develop LLM-powered Applications

Udemy

SEPTEMBER 2024 - PRESENT

Building Apps with Al Tools: ChatGPT, Semantic Kernel, and Langchain

LinkedIn

SEPTEMBER 2024 - PRESENT

Azure Databricks & Spark for Data Engineers (PySpark/SQL)

Udemy

SEPTEMBER 2024 - PRESENT

Fine-tune Your LLMs

LinkedIn

SEPTEMBER 2024 - PRESENT

Introduction to AI Native Vector Databases

LinkedIn

AUGUST 2024 - PRESENT

Apache Spark (TM) SQL for Data Analysts

Databricks

AUGUST 2024 - PRESENT

Virtualization, Docker, and Kubernetes for Data Engineering

Duke University | via Coursera

JULY 2024 - PRESENT

Learning Amazon Bedrock

LinkedIn

JULY 2024 - PRESENT

Azure Data Factory

LinkedIn

JULY 2024 - PRESENT

Azure Spark Databricks Essential Training

LinkedIn

JULY 2024 - PRESENT

Hands-on Generative AI with Multi-agent LangChain: Building Real-world Applications

LinkedIn

SEPTEMBER 2019 - PRESENT

Python for Everybody

University of Michigan | via Coursera

OCTOBER 2018 - OCTOBER 2020

AWS Certified Cloud Practitioner

AWS

OCTOBER 2018 - OCTOBER 2020

AWS Certified Developer – Associate

AWS

SEPTEMBER 2018 - SEPTEMBER 2020

AWS Certified Solutions Architect – Professional

AWS

JUNE 2016 - PRESENT

Full-stack Web Development

Hong Kong University of Science and Technology | via Coursera

JULY 2014 - SEPTEMBER 2020

AWS Certified Solutions Architect – Associate

AWS

Skills

Other

n8n, Zapier, Make.com, AI Workflow Design, AI Adoption, AI Playbooks, Microsoft Copilot, AI Agents, Prompt Engineering Frameworks, Task Decomposition for AI Assistance, Enterprise AI Use Case Discovery, AI Change Management, AI Tool Evaluation and Selection, LLM Capabilities and Limitations, Critical Evaluation of AI Outputs, AI-Assisted Decision Making, Business Problem Framing, Responsive AI, Data Interpretation with AI, AI Adoption Playbooks, Training and Coaching Methodologies, Bias Detection and Output Validation, AI Productivity Measurement, AI Strategy Alignment, Stakeholder Communication, AI-Driven Knowledge Workflows, Enterprise, Change Management for AI Adoption, Prompting and Question Framing, Thinking and Decision Making with AI, AI Workflow Enablement, Human Judgment in AI Systems, AI Productivity and Impact Measurement, Business Problem Translation to AI, Stakeholder Coaching and Facilitation, AI Tool Enablement and Best Practices, Automation with n8n, Workflow Automation with Zapier, AI-Assisted Knowledge Workflows, AI Confidence Building, Practical AI Implementation, Business Process Automation, Workflow Design for Non-Technical Users, AI Use Case Discovery, Responsible AI Practices, Cross-functional Collaboration, No-Code and Low-Code Automation, Enterprise Automation Playbooks, Business-First AI Strategy, Creativity, Prompting for Creative Work, AI-Assisted Content Ideation, Editorial Workflows with AI, Generative Writing Tools, Research and Insight Generation with AI, Automation with Zapier, Automation with Make (Integromat), Workflow Design with Airtable, Multimedia Content Enablement, Responsible AI in Creative Work, Change Management for Creative Teams, Content Operations Automation, Creative Team Enablement, AI Quality and Review Frameworks, Experimentation and Continuous Learning, Knowledge Sharing, AI-Assisted Content Workflows, Prompting for Writers and Editors, Generative Text Tools, AI Research and Summarization, Editorial Quality Control with AI, Creative Toolchain Enablement, Workflow Optimization, AI Experimentation Frameworks, AI Enablement, Prompt Engineering, Artificial Intelligence (AI), Large Language Models (LLMs), Content AI, AI Workflows, Human-in-the-loop (HITL), Responsible AI, Make (formerly Integromat), Airtable, Elementor, Text-to-Speech (TTS), Voice AI, Content Automation, Workflow Automation, Creative AI, AI Research, AI Summarization, Cross-Functional Enablement, Experimentation Frameworks, Productivity Automation, Enablement, Editorial AI, Brand Voice, Quality Frameworks, Experimental Design, Change Management, Stakeholder Enablement, Enterprise AI, Retrieval-augmented Generation (RAG), Vector Search, Knowledge AI, Vertex AI, Google Gemini, Google AI Studio, Google AI Platform, BigQuery, Document AI, Google Vision AI, Speech-to-Text (STT), Enterprise Enablement, Stakeholder Alignment, OpenAI, Claude, Mistral AI, LangChain, LangGraph, Vector Databases, Semantic Search, Retool, Notion AI, Slack AI, Microsoft Power Automate, Peltarion, Hugging Face, AutoML, No-Code Tools, Low-Code Platforms, Automation, API Integration, Productivity Improvement, JavaScript, HTML, CSS, React, Node.js, APIs, REST, Git, Debugging, Testing, AI Tools, Basic Prompt Engineering, AI Experimentation, Problem Solving, Chatbots, Multi-Agent Systems, Agent Orchestration, State Machines, Tool Calling, Function Calling, Memory Management, Conversation State, Retrieval-Augmented Generation, Agent Workflows, Task Automation, Error Handling, Agent Evaluation, AI Automation, Azure AI Foundry, AI Copilots, System Prompts, Azure OpenAI Service, Model Orchestration, Conversation Memory, Context Management, Azure AI Search, Copilot Architecture, Model Context Protocol, Model Context Protocol (MCP), Agentic AI, Tool Access, Context Injection, Multi-Step Reasoning, Application State Management, Secure Context Sharing, Microsoft Azure, Azure AI Services, Azure Machine Learning, Azure AI Studio, Azure Cognitive Services, Speech AI, Text Analytics, Conversational AI, Machine Learning Operations (MLOps), Model Deployment, Language Models, Text Generation, Image Generation, AI Modeling, Model Training Basics, Data Inference, AI Use Cases, AI Capabilities, AI Ethics, Business AI, LLM Applications, Chains, Delivery Agents, Memory, Embeddings, Application Orchestration, LLM Evaluation, ChatGPT, Semantic Kernel (SK), AI Orchestration, AI-enabled Applications, App Integration, Azure Databricks, Apache Spark, PySpark, Spark SQL, Data Engineering, ETL Pipelines, Data Processing, Distributed Computing, Big Data, Delta Lake, Data Lakehouse, Data, Data Transformation, SQL, Batch File Processing, Streaming Data, Structured Streaming, Azure Data Lake, Performance Optimization, Data Modeling, Data Quality, Management, Scalable Pipelines, LLM Fine-tuning, Model Customization, Transfer Learning, Supervised Fine-tuning (SFT), Instruction Tuning, Parameter-Efficient Tuning, LoRa, QLoRA, Training Data Preparation, Evaluation Metrics, Model Validation, Overfitting Control, Inference Optimization, Weights & Biases, AI Native Databases, Similarity Search, Approximate Nearest Neighbor, ANN, Vector Indexing, Metadata Filtering, Hybrid Search, Pinecone, Weaviate, Milvus, FAISS, Qdrant, Index Optimization, Scalable Storage, Low Latency Search, Data Analysis, DataFrames, Query Optimization, Distributed Queries, Joins, Aggregations, Window Functions, SQL CTEs, Data Cleaning, Exploratory Data Analysis, Analytics Pipelines, Performance Tuning, Databricks, Data Visualization, Business Analytics, Scalable Analytics, Virtualization, Containers, Docker, Kubernetes, Container Orchestration, Microservices, Cloud Native, Distributed Systems, Scalable Infrastructure, DevOps, Kubernetes Deployments, Helm, Container Networking, Persistent Volumes, Stateful Workloads, Monitoring, Logging, Infrastructure Automation, Platform Engineering, Resource Management, Amazon Bedrock, Foundation Models, Model Inference, Multi-Model Routing, Knowledge Bases, AWS IAM, Cloud Native AI, Azure Data Factory (ADF), ADF, Data Integration, ETL, ELT, Data Pipelines, Data Orchestration, Azure Synapse, Linked Services, Datasets, Pipeline Triggers, Scheduling, Data Movement, Cloud Data Engineering, Lakehouse Architecture, Databricks Workflows, Notebook Development, Job Scheduling, Cloud Analytics, Agent Collaboration, Real World AI Applications, Python, Programming, Data Types, Control Flow, Functions, Modules, File Management, JSON, Scripting, Basic Data Structures, Amazon Web Services (AWS), Cloud Fundamentals, EC2, Amazon S3 (AWS S3), Amazon RDS, Virtual Private Cloud (VPC), Cloud Security, Shared Responsibility Model, Pricing Models, Billing, Cloud Architecture Basics, Scalability, AWS Well-Architected Framework, AWS Development, API Gateways, Amazon DynamoDB, Infrastructure as Code (IaC), Serverless, Event-driven Architecture, SDKs, Application Security, AWS Architecture, Enterprise Architecture, Multi-Account Strategy, VPC Design, Networking, Security Architecture, Cost Optimization, Hybrid Cloud, Strategy, Governance, Compliance, Front-end Development, Back-end Development, REST APIs, Databases, Authentication, Authorization, Express.js, NoSQL, Web Architecture, Load Balancers, Autoscaling, Fault Tolerance, Cost Awareness, Well-Architected Basics, LLM Orchestration, Tool-Using Agents, Reasoning Agents, Agent Memory, Dynamic Questioning, Intent Classification, Workflow Branching, Real-Time Telephony, Twilio, Low-Latency Systems, Structured Data Capture, Lead Qualification, Autonomous Workflows, Enterprise AI Systems, Prompt Chaining, Personalization Models, SEO AI, Evaluation Frameworks, Hallucination Detection, Model Benchmarking, AWS Lambda, Scalable Inference, Low Latency APIs, Production GenAI, Serverless Architecture, Multi-tenant SaaS, Amazon EventBridge, Architecture, Feature Isolation, Tenant Isolation, Observation, CI/CD Pipelines, Serverless Framework, Reusable Modules, Billing Systems, Messaging Systems, Reporting Systems, AI Integration, Scalable Systems, Cloud Native Architecture, Coaching, AI Systems, AI Content Creation, Content, ElevenLabs Solutions

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