Utkarsh Bhaskar

Utkarsh Bhaskar

B.Tech CSE student · Full-Stack & AI/LLM Developer

Jaipur, Rajasthan, India

@utrino

0 followers

Looking for internships

🎓 B.Tech, Computer Science Engineering at JECRC University · Graduating 2029

About

B.Tech Computer Science Engineering student at JECRC University building full-stack applications and AI/LLM-powered workflows. Experience spans React, Node.js, Express, MongoDB, Python data analysis, and cloud tools across healthcare, lead-capture, and data projects.

Skills

6 to 12 months 6 to 12 months Most of a year behind them.
3 to 6 months 3 to 6 months A few months of practice with it.
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Vite MySQL GitHub Ollama Render Vercel MongoDB Netlify Postman BigQuery Google Cloud Platform

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Hindi Speak · Read · Write
Fluent Fluent Comfortable using it for work.
English Speak · Read · Write

Projects

  • UIDAI Data Hackathon 2026: Data Analysis
    Python, Pandas, Matplotlib, Seaborn, RapidFuzz

    Cleaned and analyzed UIDAI Aadhaar enrolment, demographic, and biometric datasets, including normalization, validation, aggregation, district matching, and trend analysis.

  • React, Vite, Express, MongoDB

    Lead-capture landing page, authenticated admin dashboard, and REST backend built in a 24-hour internship assessment.

  • React, Vite, Tailwind CSS, Node.js, Express, MongoDB, JWT

    Full-stack emergency healthcare coordination platform with six user roles, JWT authentication, protected routes, session validation, and role-specific dashboards.

  • React, Node.js, Express, MongoDB, Groq, Whisper

    API-first, voice-first intake and early-triage platform for OPDs and rural health centres with PDF summaries and dynamic QR code. Led a team of 6, designed a finite-state intake workflow and rule-based red-flag engine, built the AI pipeline with Whisper and Llama 3.1 on Groq, and deployed the app live.

Courses & certifications

  • Derive Insights from BigQuery Data (Introductory) · Google Cloud Skill Badge · 2026

🎯 Hobbies & interests

  • Photography
  • Basketball
  • Gaming

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