I turn learning intomeasurable business performance.
A decade designing how people learn, and building the AI that scales it.
Programs measured by what they made possible.
An L&D engine that designs as fast as the business moves
Learning discovery and design is slow, manual, and inconsistent. It is the bottleneck between a business need and a solution that ships.
Build an AI-native platform that automates discovery through delivery, with human-in-the-loop validation so quality is never traded for speed.
Multi-provider AI (Claude, ChatGPT, Perplexity) with expert oversight at every stage.
Standardizing how a global ratings agency learns
Complex financial knowledge had to reach teams worldwide, but bespoke video production was slow and inconsistent.
Standardized templates and automated production workflows, so quality scaled without effort scaling with it.
Automation turned one-off video builds into a repeatable production pipeline.
maintained despite 70% time cut
Cutting training time and cost without losing retention
Multiple client teams needed faster upskilling, but training was time-heavy, costly, and hard to audit at scale.
Match the modality to the need (ILT, video, e-learning, gamified), then automate the audit and reporting busywork.
A 1,400-line automation suite ran training-needs audits across pan-India teams.
How I lead L&D.
Four principles I run every program by, each proven across a leadership case study.
Design backwards from the business outcome
Every program starts from the metric it has to move (time, cost, capability), not the course it produces.
Automate the busywork, keep the craft human
I build the pipelines and agents that remove repetitive work, so design effort goes where judgment actually matters.
Measure capability, not attendance
Completion is table stakes. I instrument retention, time-to-competency, and behaviour change so learning is provably working.
Meet people in the flow of work
The right modality for each audience: microlearning, video, hands-on. Learning that fits the job instead of interrupting it.
Leadership, proven in the numbers.
Four case studies across the competencies a leadership panel scores you on, each backed by a real program and a real result.
Explore the case studiesAI as a lever, not a layer
I do not just adopt AI tools, I architect them. The same engineering behind 200+ deployed agents removes the real L&D bottlenecks: automated discovery and design, self-running content pipelines, and audits that used to eat weeks.
Read more about Jitin's AI Systems Architecture- Discovery to delivery automated, with expert validation (Smartslate)
- Production pipelines that cut build time by 60% (Moody's)
- Audit and reporting automation across pan-India teams (Accenture)
Range across learning and the systems that scale it.
Six capability domains, each one backed by a result rather than a buzzword.
AI-native learning design
Learning systems where AI does the heavy lifting and experts guarantee the quality.
Instructional design & architecture
ADDIE, Bloom's, and adult-learning principles behind every build.
Video-based learning
Standardized, scalable production for complex subject matter.
Learning analytics & measurement
Completion is table stakes. I measure retention and tie it to dollars.
Microlearning & performance support
Right-sized learning delivered in the flow of work.
Automation & learning ops
The engineering that turns one-off L&D work into self-running systems.
The path here.
Ten years of growing scope: from training teams to architecting the systems that train them.
Trained new joiners, ran QA and refresher programs. Top performer three months running; identified for leadership within 24 months.
Multi-format L&D for client teams. New-joiner training across 16 teams (300+ people), $140K+ saved, and a 1,400-line audit automation suite.
Global video-based L&D. Automated pipelines cut production time 60% at 90%+ completion.
AI-native learning infrastructure and 200+ deployed agents, automating L&D from discovery to delivery.
Recognition & range.
Fast-tracked leader
3x top performer, identified for leadership within 24 months.
Dual fluency
Learning science (ADDIE, Bloom's) and AI engineering (LangGraph, RAG, MCP).
Outcome record
70% faster training, $140K+ saved, 90%+ completion across roles.
Built for global teams
English, Malayalam, Hindi, Tamil, and Kannada.
References from L&D and business stakeholders available on request.
Let's build your capability engine.
Open to L&D leadership roles, AI-in-learning strategy, and advisory. If you are scaling a learning function or removing its bottlenecks, let's talk.