Shubh Jani

High school researcher building AI systems for social impact in education and healthcare

About Me

Combining technical expertise with social entrepreneurship to create meaningful change

I'm a high school senior working on leveraging computer science and engineering to solve pressing challenges in:

My work spans machine learning research, full-stack development, and social entrepreneurship with presentations at the UN and research at national labs.

Shubh Jani

Research & Internships

Academic research and professional experiences in AI and data science

At Berkeley Labs

Berkeley EINR Internship

  • Developed solution to inefficient network utilization in regional data caches
  • Engineering multivariate LSTM models to analyze and optimize cache usage pattern
  • Conducted time series analysis of network traffic and created optimal database
SDG 9: Industry, Innovation
OpenNLP Research

OpenNLP Labs Internship

  • Developed solution for lack of accessible Braille education tools
  • Developed QwenVL-Braille vision-language model
  • Created personalized AI agent for Braille education with transformer architecture
SDG 4: Quality Education
Neural Network Research

Neural Network Optimization Research - Published in IEEE

  • Tackled problem of energy inefficiency in deep learning models
  • Researched and constructed a hardware-software co-design approach
  • Optimized efficiency through harmonic use of algorithms and hardware changes
IIM Mumbai Internship

IIM Mumbai Internship

  • Analyzed finance & econometric data
  • Optimized stock returns with Sharpe/Treynor tests and Python
  • Monitored and emulated econometric data patterns
SDG 8: Economic Growth
Jdable Engineering

Jdable Engineering Internship

  • Engineered autonomous wheelchair navigation system using LiDAR and computer vision for obstacle detection and path planning
  • Implemented reinforcement learning algorithms to optimize wheelchair movement
  • Integrated IoT technologies for real-time spatial mapping, motor control, and multi-sensor communication
SDG 3: Good Health
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Projects & Leadership

Social impact initiatives and technical projects

Aarogya Vardaan

Aarogya Vardaan

  • Engineered ML portal with multilingual NLP chatbot to solve problem of lack of health insurance access for domestic workers
  • Presented at UN Headquarters
  • Provided free insurance to 50+ individuals, $2000 crowdfunded
SDG 3: Good Health
ItsClean

ItsClean

  • Addressed lack of accountability for public sanitation by developing crowdsourced bathroom rating platform
  • Launched in 4 cities globally
  • Built with NodeJS, React, PostgreSQL
SDG 6: Clean Water
NYAS Fairify

Fairify - New York Academy of Sciences

  • Created app using SQLite & REST API for bias detection machine learning datastes
  • Used statistical tests (ANOVA, chi-sqaure) & AI-based reports on fairness and effect sizes
  • Won Ethical AI competition
SDG 10: Reduced Inequalities
Celeritas Research

Celeritas Research Labs

  • Engineered RC autonomous cars
  • Devised reinforcement learning model optimized for energy efficiency
  • Built model prosthetic hand
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Skills & Expertise

Technical skills and research focus areas

Technical Skills

  • Transformers & Diffusion Models
    • Developed QwenVL-Braille vision-language model at OpenNLP Labs, creating an AI agent for Braille education using transformer architectures.
  • LSTM in RNNs, Reinforcement Learning
    • Used LSTM networks for multivariate time series analysis at Berkeley EINR to optimize data cache utilization patterns. Utilized reinforcement learning to optimize autonomous cars for energy efficiency.
  • Node.js, React, PostgreSQL
    • Built full-stack platforms with backend services such as ItsClean and AarogyaVardaan to facilitate users accessing health benefits or reviewing bathroom cleanliness.
  • AWS, OnShape, PCB Design
    • Designed and deployed cloud infrastructure with AWS in ItsClean; hardware prototypes for Celeritas Research using OnShape; PCB design in autonomous cars for RoboRacer competition.

Research Focus

  • Low-resource ML applications
    • Created personalized AI agent for Braille education targeting underprivileged communities with limited resources.
  • Neural network optimization
    • Optimized neural networks through hyperthreading and sparse compression techniques (4th place at Alameda County Science Fair).
  • Vision-language models
    • Developed QwenVL-Braille model combining visual and language processing for accessibility applications.
  • Ethical AI development
    • Created Fairify app to recognize bias in ML datasets, winning NYAS Ethical AI competition.

Academics

  • Amador Valley High School (2022-2026)
  • GPA: 3.98 | SAT: 1550
  • Multivariable Calculus, AP Physics C
  • AP Chemistry, AP Calculus BC

Other Engagements

Volunteering and leadership activities

BAPS Volunteering

BAPS Volunteer

  • Led children's educational sessions
  • Organized community initiatives
  • 25+ instructional sessions
School Clubs

School Club Officer

  • Entrepreneurship Club Treasurer
  • Space/Astronomy Club Secretary
  • Emerging Technologies Club Secretary
  • Model UN Club Secretary