AI Tech Lead · AI for Public Education · Agentic AI Systems · LLM Infrastructure

I build AI and data systems for state education departments in India—from policy and final deliverables to production platforms that reach tens of thousands of teachers.

I work at the intersection of technology, public policy, education, and field implementation. My role often begins before a product has a specification and continues after it reaches users: clarifying the problem, translating policy into workflows, designing the architecture, guiding delivery, and turning implementation data into decisions.

My focus is not technology in isolation. It is building systems that remain usable under real-world conditions—non-technical users, multilingual environments, limited connectivity, complex reporting hierarchies, and high-stakes institutional decisions.

As AI tech lead, I lead the team that designs, builds, and rolls out these systems with state departments. The work began in Himachal Pradesh and is now expanding to multiple states.

I am most useful when a project needs someone who can move comfortably between senior stakeholders and engineering teams—without losing either the institutional objective or the implementation detail.

Regular data analysis and school-level reporting that guided timely academic interventions ahead of PARAKH Rashtriya Sarvekshan 2024, the national learning-outcomes survey.

• Built the state's regular data analysis and school-level reports, and the intervention cycle they fed
• Himachal Pradesh rose from 21st (NAS 2021) to 2nd nationally in Grade 3, and 3rd among states in Grades 6 and 9

An AI-enabled platform for National Professional Standards for Teachers (NPST)-aligned assessment, professional growth, and evidence-based decision-making.

• Designed product architecture, assessment workflows, evidence models, and role-based user journeys
• Designed dashboards and workflows for self-assessment, peer assessment, classroom observation, student feedback, and teacher portfolios
• Structured AI-supported recommendations, professional-growth tracking, mentoring, and leadership workflows
• Supported technical implementation, rollout planning, and continuous product improvement

A centralized system for structured teacher training, participation monitoring, certification, and training analytics.

• Designed the platform architecture, training workflows, certification logic, and administrative dashboards
• Defined reporting structures and supported coordination across technical, academic, and field teams

A mobile-first application for teacher diagnostics, field data capture, and Training Needs Assessment workflows.

• Designed mobile assessment journeys, data models, and competency-wise capture flows
• Reviewed application performance and refined usability for field teams and non-technical users

A digital extension of Teaching-Learning Material Labs for resource discovery, teacher co-creation, innovation sharing, and continuous academic support.

• Led portal architecture, resource structuring, UX direction, content organization, and technical implementation

A searchable repository of curriculum-linked, classroom-ready lesson plans, teacher guidebooks, and TLM-integrated resources.

• Designed the repository, content model, search and navigation, and teacher-facing workflows

• AI systems: agentic workflows, tool use with approvals, multi-provider LLM routing, RAG, OCR, document intelligence, multimodal AI, computer vision, and human-in-the-loop recommendations
• Product engineering: web platforms, mobile applications, APIs, assessment engines, dashboards, public portals, and role-based administrative systems
• Data and infrastructure: PostgreSQL, SQLite, ETL workflows, analytics pipelines, CI/CD, serverless APIs, cloud deployment, and production monitoring
• Education systems: NPST, PM SHRI, NIPUN Bharat, PARAKH/NAS-aligned improvement, teacher professional development, competency assessment, and school leadership enablement

Understand the institution and the field
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Translate policy into requirements and workflows
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Design the product, architecture, and delivery plan
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Guide implementation and build critical components
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Measure adoption, learn, and improve

That end-to-end range is intentional. Large institutional programs do not move through code alone; they move through clear decisions, credible documentation, stakeholder trust, disciplined execution, and measurable outcomes.

• AI-enabled education transformation and teacher competency systems
• Taking the Himachal Pradesh systems to multiple states
• Agentic AI systems: agent harnesses, tool use with approvals, memory, and evaluation
• LLM infrastructure, RAG, document intelligence, and multimodal products
• Government-scale dashboards, assessment platforms, and digital portfolios
• Mobile-first applications for field implementation
• Technical advisory, product architecture, and implementation strategy

I am open to serious collaborations involving applied AI, GovTech, EdTech, institutional platforms, assessment and analytics systems, or complex digital-transformation programs.

If your challenge needs both strategic clarity and hands-on technical execution, I would be glad to hear about it.

Turning strategy into systems—and systems into measurable institutional change.