AI consulting
Works with companies to enable AI-based solutions for different use cases, including RAG systems, ChatGPT apps, MCP workflows, and team adoption programs.
Profile
Aditya Chaturvedi
AI consultant, coach, and technology advisor helping teams adopt AI through practical workflows, safe review gates, and measured pilots.
Profile
AI consultant and technology advisor
AI Consultant & Coach / Tech Advisor
Technology and product leader with 20+ years of experience building scalable products, growing engineering teams, and driving AI adoption across real estate, media, e-commerce, SaaS, healthcare, telecom, and mobile.
Background
Expanded bio
Aditya Chaturvedi is an AI consultant, coach, and technology advisor with over two decades of hands-on product and engineering experience. He has built and scaled teams across India and the US, led consumer and B2B products, and advised founders on how to adopt AI without disrupting the operations that already work.
His work today centers on practical AI adoption: selecting use cases, choosing tools, designing RAG and agentic workflows, introducing coding agents safely, and training teams to review AI output before it reaches customers. He has run AI adoption programs for marketing, customer care, product, and engineering teams, and he regularly writes about what actually works in production.
Before focusing on AI advisory, Aditya held engineering leadership roles at Flyhomes, Times Internet, and Clovia Lingerie, and he co-founded and scaled technology teams from early stage to larger delivery groups. This operating background shapes his advice: AI recommendations must fit real teams, real budgets, and real review processes.
AI focus
AI adoption, agentic workflows, and practical engineering systems
Engineering leadership
Leads product and engineering teams across India and the US, with experience scaling distributed teams, internal tooling, and customer acquisition systems.
Product growth
Builds growth-oriented systems across real estate, digital media, e-commerce, and SaaS, with a strong focus on measurable acquisition and operational outcomes.
Why this site exists
Practical AI guidance from real product and engineering work
This resource hub is structured around what works in AI adoption: choosing use cases, selecting tools, designing workflows, training teams, and adding review gates before automation reaches production systems.
Consulting areas
AI adoption audits
Team AI workshops
AI engineering workflows
RAG, MCP, and agent advisory
Work with AdityaServices
Consulting offers
AI adoption audit
A two-week review of your current workflows, data boundaries, and team readiness. You receive a prioritized list of high-value AI opportunities, risk notes, and a 90-day roadmap.
Team workshop
Half-day or full-day sessions for product, engineering, marketing, sales, or support teams. Covers prompt design, tool selection, review gates, and hands-on practice with real tasks.
Implementation advisory
Ongoing support for RAG pipelines, MCP integrations, coding-agent rollouts, and internal AI tooling. Includes architecture review, vendor evaluation, and rollout planning.
AI coding adoption
Introduce coding agents with clear test discipline, review workflows, and guardrails. Designed for engineering teams that want speed without sacrificing code quality.
Experience
Selected career highlights
2025 - Present
AI Consultant & Coach / Tech Advisor
Multiple Companies
- Enables AI-based solutions across company use cases and operating teams.
- Launched a ChatGPT app for a travel company in India.
- Led AI-driven development using coding agents across marketing, customer care, and tech teams.
2023 - 2025
VP of Consumer Engineering / Head of Engineering, India
Flyhomes
- Led engineering and product teams across India and the US.
- Worked on heyleo.com, an AI-powered home buying and selling experience.
- Scaled Flyhomes AI portal organic growth to 1M+ search and listing visits.
- Led agent internal tooling, BBYS, and Flyhomes Wholesale product development.
2016 - 2023
Head of Technology / AVP / VP of Engineering
Times Internet
- Ran technology for a diverse portfolio of news and infotainment businesses.
- Led customer acquisition, marketing integrations, automation, and organic growth systems.
- Supported products reaching hundreds of millions of monthly visitors.
2012 - 2016
Co-founder & CTO
Clovia Lingerie
- Owned technology vision, product roadmap, development, and IT infrastructure.
- Built inventory, reporting, alerting, revenue tracking, and operational efficiency systems.
- Created systems to optimize working capital and improve operational efficiency.
2002 - 2012
Earlier technology leadership
Mountain Apollo India, hCentive, 3CLogic, GlobalLogic
- Led internet incubation, healthcare exchange, VoIP, and offshore product development initiatives.
- Built and scaled early engineering teams from founding stages to larger delivery groups.
- Worked with customers across the US, India, Australia, Turkey, Switzerland, and the Netherlands.
Approach
How I work
Map the workflow
Start with the job, not the tool. Define inputs, outputs, review points, and where judgment is required.
Pick the smallest pilot
Choose one repeatable task, run it for two weeks, and measure time saved and quality before scaling.
Add review gates
Every AI output that reaches a customer, colleague, or code review gets a human checkpoint.
Document and train
Turn what works into templates, prompts, and playbooks so the team can repeat it without heroics.
Top guides
Guides to start with
AI adoption checklist
A practical checklist for rolling out AI across a team without losing control of quality, data, or budget.
Read checklistAI coding agents
How to adopt coding agents with tests, review discipline, and rollout rules that protect code quality.
Read guideWhat is RAG?
A beginner-friendly explanation of retrieval-augmented generation and when to use it.
Learn RAGAI starter kit
Templates, prompts, and a quick-start framework for founders and operators getting started with AI.
Get the kitExplore
More from Aditya AI Stack
Case studies
Anonymous examples of AI workflows in action across roles and teams.
Read case studiesNewsletter archive
Browse past and planned issues covering practical AI workflows and tool notes.
View archiveAbout this site
Mission, editorial standards, methodology, and affiliate disclosure.
Read aboutSkills
Current technical interests
Education
HBTI Kanpur
B.Tech., Mechanical Engineering, 1997 - 2001
Sunstone Business School
PGPM, Business Administration and Management, 2011 - 2012
FAQ
What kind of companies do you work with?
I work with early-stage startups, growth-stage companies, and established teams that want practical AI adoption. Common engagements are with founders, product leaders, engineering managers, and GTM teams.
Do you offer one-time audits or only ongoing retainers?
Both. A one-time AI adoption audit is a good starting point. Ongoing advisory works well for teams implementing RAG, agents, or coding-agent rollouts that need regular architecture and review support.
Are workshops tailored to a specific team?
Yes. Workshops are designed around the team's actual workflows, tools, and skill level. Marketing teams get different exercises than engineering teams, and every session includes hands-on practice.
What is your approach to AI safety and review?
I recommend human review gates for any AI output that reaches customers, colleagues, or production code. Every workflow should have a fallback step and a clear owner responsible for final quality.
How can I book an initial conversation?
Email adityachaturvedidev@gmail.com or use the contact page. The first call is usually a free 20-minute discovery session to map your goals and see if there is a fit.
Where can I read more of your writing?
Browse the guides, tools, and newsletter sections of this site. You can also connect on LinkedIn.