System online · Available for opportunities

B.Pharm Health-Tech AI
Specialist.

Pharmaceutical science × Generative AI × Vernacular EdTech. Building accessible health knowledge for Bharat — from Koppal, Karnataka. Fluent in 5 Indian languages. Founder of TechStudyHubCore.

100+

Students Reached

5

Languages

3

Live Projects

2

AI Certs

Kartik H. — Health-Tech AI Specialist

Scan to Verify // v2

NSQF L5 Verified

B.Pharm · RGUHS 2025 Health-Tech AI Specialist TechStudyHubCore · Founder Generative AI · Mastermind Certified AI in Pharma · NSQF Level 5 · Skill India Telepharmacy Research · RGUHS 2025 5 Languages · Vernacular EdTech Kannada-First Learning Systems B.Pharm · RGUHS 2025 Health-Tech AI Specialist TechStudyHubCore · Founder Generative AI · Mastermind Certified AI in Pharma · NSQF Level 5 · Skill India Telepharmacy Research · RGUHS 2025 5 Languages · Vernacular EdTech Kannada-First Learning Systems

// Profile

About Me

I'm a B.Pharm graduate (RGUHS, 2025, CGPA 7.2/10) from Koppal, Karnataka — working at the intersection of pharmaceutical knowledge, AI tools, and vernacular health education. I founded TechStudyHubCore, a live EdTech platform serving pharmacy and nursing students across Karnataka, while designing AI-assisted curriculum frameworks in Kannada for first-generation digital learners.

My final-year dissertation was a comparative literature review on telepharmacy patient counseling effectiveness — grounding me in digital health research, evidence synthesis, and health communication design.

I hold a government-recognised AI in Pharma certification (Skill India / NSQF Level 5, March 2026) and Generative AI Mastermind certification. I work daily with Claude, ChatGPT, and Gemini — with practical understanding of prompt engineering, LLM evaluation, and hallucination handling.

Targeting remote roles in Health-Tech AI, vernacular EdTech, medical content, and telehealth coordination. Available immediately. Flexible / Remote.

Kannada · Native English · Professional Hindi · Fluent Telugu · Conv. Tamil · Conv.

// Product Case Study

TechStudyHubCore —
AI-Assisted Healthcare Learning System

Founder & Product Builder 2025 – Present Live Platform EdTech · Health-Tech · AI
🔥

01 · Problem

The Real Gap

Pharmacy and nursing students in Tier 2/3 regions face a structural problem — not a motivation problem:

  • →Scattered, unstructured exam content — no single reliable source
  • →Pharmacology concepts taught only in English — inaccessible to vernacular learners
  • →No PYQ-driven learning system connecting study → revision → exam
  • →Zero digital guidance for first-generation pharmacy students in Koppal-tier districts
👥

02 · User

Who It Serves

Primary Users

  • →B.Pharm, D.Pharm, GNM, BSc Nursing students
  • →Non-metro, vernacular-background learners
  • →Karnataka-region pharmacy college students

Secondary Users

  • →Semester and competitive exam aspirants
  • →Students needing digital academic guidance
⚡

03 · Solution

What Was Built

Built TechStudyHubCore — a structured, AI-assisted educational platform that transforms scattered academic content into a system-driven learning experience for healthcare students across Karnataka.

PYQ Engine

Structured, solved PYQ modules across all healthcare departments — exam-ready, syllabus-faithful

S.M.I.L.E. Framework

AI-assisted vernacular health education visual — pharmacology simplified for Kannada-first learners

AI Content Pipeline

Claude + ChatGPT + Gemini used for content generation, simplification, and quality validation

Digital Services

No-code portfolio sites, landing pages, and workflow automation for local SMEs and students

🏗️

04 · System Design

Core Architecture — How It Works

01 · Input Engine

Demand Identification

  • → PYQ pattern analysis
  • → Syllabus mapping
  • → Student need signals

02 · Content Engine

AI-Assisted Creation

  • → Structured answer frameworks
  • → Vernacular simplification
  • → LLM-assisted drafting

03 · Distribution

Web Platform

  • → HTML/Tailwind/JS
  • → Netlify CI/CD
  • → Module-based access

04 · Feedback Loop

Continuous Improvement

  • → Student usage patterns
  • → Content iteration
  • → System refinement

Tech Stack

Claude · ChatGPT · Gemini Prompt Engineering HTML · Tailwind CSS · JS Netlify · Cloudflare DNS n8n Automation No-Code Workflows
📈

05 · Impact

Measured Outcomes

  • 100+ Students across 5 healthcare streams reached with structured content
  • ✓ Improved access to exam-oriented content for vernacular learners
  • ✓ Reduced dependency on scattered, unreliable study resources
  • ✓ Demonstrated scalable content system design using AI at zero marginal cost
  • ✓ Platform successfully transitioned to team operations — founder in advisory capacity
🧠

06 · Key Learnings

Product Insights

  • →Structured systems outperform content volume every time
  • →AI is effective only when guided by clear frameworks and domain expertise
  • →Vernacular accessibility is the largest unaddressed gap in healthcare education
  • →Students need workflow-based learning, not just information delivery
  • →Feedback loops are non-negotiable for content relevance at scale
🚀

07 · Future Scope

Where This Goes Next

Adaptive Learning

AI-powered personalised learning paths based on student performance patterns

Student Dashboards

Personalised progress tracking and performance analytics for exam preparation

Health-Tech Modules

Medication adherence education and patient counseling content for telehealth platforms

Scale Beyond Karnataka

Expansion into broader Indian health-tech and vernacular learning ecosystems

// Execution

Projects & Research

Live platforms and published research — not side projects on paper.

🎓
Live Platform EdTech · Kannada-First

TechStudyHubCore — EdTech Ecosystem

A live digital learning platform serving pharmacy and nursing students across Karnataka. Provides solved PYQ content, academic guidance, digital services, and the S.M.I.L.E. Framework. Built end-to-end — domain, Netlify CI/CD, Cloudflare DNS, content architecture.

Visit Live Platform
🔬

Telepharmacy Research

RGUHS 2025 Dissertation

Comparative literature review on patient satisfaction and counseling effectiveness in telepharmacy — remote vs. face-to-face pharmacy settings.

View Research Paper
💻

Professional Portfolio Platform v2

CI/CD · Architecture · AI-assisted design

Designed and deployed using HTML5, Tailwind CSS, JavaScript, Netlify CI/CD, Cloudflare DNS — with GitHub-hosted asset pipeline. AI-assisted prototyping used throughout design-to-deployment cycle.

Netlify Cloudflare DNS GitHub Assets HTML · Tailwind · JS

// Visual Work

Educational Frameworks

AI-assisted health education visuals built for vernacular learners in Tier-2 and Tier-3 India.

S.M.I.L.E. Framework — Vernacular Focused

S.M.I.L.E. Framework

An AI-assisted preventive health education visual system designed for Kannada-first learners. Uses structured mnemonics and culturally relevant analogies to simplify complex pharmacology concepts.

View Full Framework →
Telepharmacy Infographic

Telepharmacy Research Visual

Infographic summarising key findings from the comparative literature review on telepharmacy counseling effectiveness — designed for clinical and academic audiences.

View Research Visual →

// Credentials

Certifications & Achievements

Government-recognised qualifications and verified academic achievements.

🏛️

AI in Pharma: Transforming Life Sciences Through Tech

LSSSDC / Skill India · NSQF Level 5

March 2026 · Govt. Recognised

View Certificate
🤖

Generative AI Mastermind

Outskill · Certificate of Completion

December 2025

View Certificate
🥇

Award-Winning Research Presenter

PharmaNEST 3.E Int. Conference · Ooty

2022 · Award Recipient

🎓

Bachelor of Pharmacy (B.Pharm)

Priyadarshini College of Pharmacy · RGUHS

2021–2025 · CGPA 7.2 / 10

📄

Telepharmacy Research Dissertation

RGUHS Final Year Project · 2025

View Paper
🏫

Pre-University · PCMB

Satyam Int. School & PU College · Ballari

2018–2020 · 81.45%