Our Story

Built by people who
hired the gap
for 20 years.

CoreSmart was not built by academics who theorised a problem. It was built by two people who spent two decades placing technology talent - and watched organisations commission AI courses that changed nothing about how their teams delivered.

20+
Years in Technology Talent Having placed thousands of Business Analysts and Developers across North America ,Canada and India, founders Rajiv Khattar and Pranav Sood bring decades of industry hiring expertise to CoreSmart.
2
Tracks. Zero Generic Certificates. BA Track - 10 weeks. Developer Track - 17 weeks. Every week ends with a named, deployable project your organisation keeps.
27
Named Projects Across Both Tracks Not exercises. Not demos. Artefacts that prove capability - built in live cohorts, verified by practitioners.
40
Maximum Seats Per Cohort Capped deliberately. Every developer and every BA gets direct instructor attention. Quality over scale.
Founding Story

The gap was visible
in every job requirement
long before AI was mainstream.

Rajiv Khattar and Pranav Sood have run Agama Solutions - a technology staffing and recruitment practice - for over two decades. In that time they have placed thousands of Business Analysts and Software Developers across India's IT services, BFSI, and consulting sectors.

The gap did not appear when ChatGPT launched. It appeared in job requirements. Organisations began asking for AI delivery capability in 2022 and 2023 - and the candidates coming through had certificates, not capability. They could name the tools. They could not deliver with them.

Rajiv and Pranav approached established EdTech providers to explore partnerships. What they found confirmed what they had been seeing in hiring: courses built on theory, assessments built on recall, and graduates who could pass a quiz but could not write an agent requirement, produce a governance pack, or validate AI-generated code in a production environment.

They built CoreSmart to solve a specific, documented, observable problem - not to enter a crowded market. The founding insight: practical use cases and deployed projects solve business problems. Theory and certificates do not.

"Organisations were asking for AI delivery capability in job requirements. The candidates coming through had certificates. They did not have the artefacts - the governance packs, the agent specifications, the working prototypes - that AI projects actually require."
Rajiv Khattar & Pranav Sood - Co-Founders, CoreSmart.AI
The Founders

Two decades of hiring
gave us one insight.

Rajiv Khattar
RK
Rajiv Khattar
Co-Founder - CoreSmart.AI & Agama Solutions Inc.

For over 20 years, Rajiv has helped organisations across the USA, Canada, and India hire thousands of Business Analysts, Developers, and technology professionals through Agama Solutions.

Having worked at the intersection of talent, technology, and business transformation, he witnessed a growing disconnect between conventional AI training and actual workplace performance. CoreSmart was built to close that gap — equipping professionals with the practical AI skills, business thinking, and execution capabilities that modern employers truly value.

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Pranav Sood
PS
Pranav Sood
Co-Founder - CoreSmart.AI & Agama Solutions Inc.

Pranav co-built Agama Solutions over two decades, helping organisations across the USA, Canada, and India hire Business Analysts, Developers, and technology professionals at scale.

His vantage point - reviewing thousands of job requirements and seeing where candidates consistently fell short - gave CoreSmart its founding discipline: build the programme from the job requirement backwards, not from a syllabus forwards. Every CoreSmart deliverable maps directly to skills and outcomes employers actively seek.

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The Instructor Team

Active practitioners.
Not full-time trainers.

Lead Instructor & Programme Designer
Vinay Bamil, PhD
Former GenAI Coach - Google - VP AI Strategy & Innovation - PhD AI for Social Good

Vinay designed the CoreSmart curriculum and leads both tracks as the primary instructor. His involvement began when Rajiv and Pranav brought him the hiring data - and his own experience coaching GenAI adoption at Google confirmed exactly what they were seeing from the talent side.

He is currently VP of AI Strategy and Innovation and an active AI startup advisor. He teaches from live production experience, not from a course he built three years ago. His Google credential is publicly verifiable on LinkedIn.

Verify on LinkedIn before you enrol
Vinay Bamil
Vinay Bamil
Lead Instructor - Programme Designer
Randeep S. Bhatia
Randeep S. Bhatia
CTO - Ex-Audible - Ex-Twitch - Ex-EA

Technology module and all four system design case studies. A CTO who has shipped AI at Audible, Twitch, and Electronic Arts. He teaches what engineering actually needs - from the side that receives the requirements.

Sanjay Lalwani
Sanjay Lalwani
Data Scientist - Siemens - Azure Certified - Ex-Infosys

Data, cloud, and production AI systems. Currently at Siemens on the same Azure AI stack Indian IT services teams run daily. Ex-Infosys - he knows the delivery model from the inside.

Aashrith Arun Belawadi
Aashrith Arun Belawadi
Head of Strategy - Ex-Deloitte - MBA Bath

AI strategy, governance frameworks, and business case development. The governance documentation CoreSmart BAs produce in Week 8 is the kind of artefact Deloitte charges consulting day-rates to build.

Saurabh Sachdev
Saurabh Sachdev
ML Engineer - Production AI Systems

Output quality evaluation - groundedness, hallucination rates, retrieval accuracy. An ML engineer who measures AI system performance in deployed production environments. Feeds directly into the evaluation modules.

Our Discipline

Theory and certificates
do not solve business problems.

This is not a positioning statement. It is the founding observation that drove Rajiv and Pranav to build CoreSmart rather than partner with an existing EdTech provider.

Every design decision in the curriculum follows from one discipline: what does an organisation actually need when they hire or deploy an AI-capable BA or Developer? The deliverable, the artefact, the thing they can show in a project meeting or a compliance review - that is what CoreSmart produces.

Not awareness. Not a score on a multiple-choice assessment. A named project that proves the capability exists.

01
Every week ends with a deployable artefact
Not a quiz. Not a completion certificate. A named project the organisation can evaluate, use, and reference on the next sprint.
02
The curriculum is built from job requirements backwards
Rajiv and Pranav read thousands of them. Every CoreSmart deliverable maps to a capability organisations actually ask for in hiring briefs.
03
40-seat cap - maintained permanently
Scale destroys the live cohort dynamic that makes project-based learning work. 40 is not a launch-phase limit. It is a delivery commitment.
04
Practitioners only - no full-time trainers
Every instructor is currently active in the domain they teach. If their day job changes, their module changes. The curriculum stays current because the instructors are.
05
No placement promises - ever
CoreSmart does not promise jobs. It produces portfolios that make the placement question irrelevant. The artefacts speak. The hiring manager decides.
What Makes CoreSmart Different

Three things no other
programme offers together.

01
Built from the hiring side, not the academic side
The founders have read the job requirements. They know what organisations ask for when they say "AI-capable BA" or "AI-ready Developer." The curriculum is designed from that requirement backwards - not from a syllabus forwards.
02
Instructors who are currently building what they teach
A former GenAI Coach at Google who is currently advising AI startups. A CTO who shipped AI at Audible and Twitch. A Data Scientist currently at Siemens. Not recorded content from 2022. Live instruction from people in the room right now.
03
Artefacts the organisation receives back
27 named projects across both tracks. A governance pack. A working Copilot Studio prototype. An adversarial evaluation harness. An A2A-compatible deployed agent. Things the organisation can read, evaluate, and use - not a certificate the individual hangs on a wall.
Our Mission
"Practical use cases and deployed projects
solve business problems.
Theory and certificates do not."

CoreSmart exists to close the gap between AI tool adoption and AI delivery capability - for Business Analysts and Developers, in live cohorts, with artefacts that prove it.

Find out where your
team's gap actually is.

Send the AI Readiness Diagnostic to your BA or Developer team. Vinay Bamil reviews every submission personally. A gap report is returned within 24 hours. No call unless you want one.