Lead
Full-time
Engineering enterprise technology while bringing production experience into every classroom, workshop, and mentoring conversation.
Engineer. Educator. Curriculum Builder.
Ajithesh
Gupta
Lead at Microsoft and AI & Data Engineering Trainer across leading ed-tech platforms, turning complex technology into practical, career-ready learning.
Building engineers who can explain, create, and deliver.
10+ yearsTechnology experience
20+ cohortsLed across ed-tech
2.5K+LinkedIn followers
About
Engineering depth, taught with clarity.
I am a software engineer, technical trainer, mentor, and curriculum creator focused on AI, data engineering, cloud computing, and modern software development.
At Microsoft, I work as a Lead. Alongside my engineering role, I teach working professionals and students through live cohorts, workshops, and leading education platforms. My goal is simple: connect strong fundamentals to hands-on projects that learners can explain in an interview and use in the real world.
Technology becomes valuable when people can understand it, apply it, and build something trustworthy with it.
- AI EngineeringGenerative AI, agents, prompt design, responsible AI, and application development.
- Data EngineeringAzure data services, Microsoft Fabric, Spark, SQL, pipelines, and analytics foundations.
- Cloud & SoftwareAzure fundamentals, architecture, Python, GitHub, APIs, and production thinking.
- Technical EducationCurriculum design, live cohorts, mentoring, workshops, and career preparation.
Experience
Building products. Building people.
A career spanning software engineering, technical training, mentoring, project leadership, and learning-content development.
Speaker & Technical Educator
Workshops and invited sessions
Delivered cloud, Azure, data, AI, and career-readiness sessions for engineering students and working professionals.
Senior AI & Data Engineer Trainer
Part-time
Teaching AI and data engineering through structured learning paths, practical demonstrations, guided projects, and industry-focused preparation.
Project Manager
Freelance
Supporting project-based learning and helping learners move from technical requirements to organized, reviewable outcomes.
Mentor / Teaching Assistant
Freelance
Mentoring learners, clarifying difficult technical concepts, and guiding practical problem-solving across live learning journeys.
Technical Content Creator
Freelance
Created structured technical content that translated complex engineering topics into clear, useful learning experiences.
Teaching curriculum
From first principles to portfolio-ready work.
Selected curricula and workshops designed around explanation, live demonstration, guided practice, and visible proof of skill.
Cloud Computing & Data Engineering
A practical learning path from cloud and data foundations to Azure pipelines, lakehouses, Spark, Fabric, and enterprise data solutions.
Visit AJ AcademyDevelop AI Apps & Agents on Azure
Generative AI applications, model selection, retrieval, tools, agents, speech, vision, evaluation, and responsible AI on Azure.
GenAI Career Accelerator
A student-focused workshop covering AI foundations, prompt engineering, resumes, LinkedIn, portfolios, projects, interviews, and productivity.
Python Programming
Beginner-friendly programming foundations taught through notebooks, clear examples, exercises, and data-oriented use cases.
Data Science with AI
An applied route through data exploration, analysis, machine learning thinking, and the ways AI can accelerate responsible data work.
Vibe Coding with AI
A fast, practical introduction to building software by describing intent, collaborating with AI, reviewing output, and iterating responsibly.
Teaching approach
Learning that survives the interview.
The aim is not content completion. It is confident understanding, practical evidence, and the ability to make sound engineering decisions.
Build the mental model
Start with plain-language explanations and familiar analogies before introducing tools and terminology.
Demonstrate the real workflow
Show the complete path live, including decisions, errors, verification, and tradeoffs rather than only the polished result.
Practice with guidance
Turn concepts into labs, prompts, code, datasets, and scenarios that learners can work through themselves.
Create proof of skill
Finish with projects, repositories, portfolios, and interview-ready explanations that make learning visible.