Pranay Joshi

01 / About

Shipping since 2018

Hi, I'm

Pranay Joshi

Engineering purpose into intelligent, high-performance systems.

I am driven by the desire to create technology that serves a clear purpose. I focus on developing scalable backend infrastructure and intelligent, AI-driven applications designed to solve real-world problems. By combining modern engineering with AI orchestration, I build efficient, high-performance solutions.

My work spans the intersection of complex backend architecture, neurotech, and genomics, where I bridge the gap between technical infrastructure and biological data to push the boundaries of what is possible.

Technical Index

Programming

  • Golang
  • Python
  • TypeScript/JavaScript
  • SQL
  • C/C++
  • React
  • Next.js
  • Node.js
  • FastAPI
  • GraphQL
  • gRPC

AI & Backend

  • AI Agents
  • LangGraph
  • LangChain
  • RAG
  • Harness Engineering
  • LLM Evaluation
  • MCP
  • Vector DBs

Cloud & Infra

  • AWS
  • Docker
  • Kubernetes
  • Terraform
  • Kafka
  • Redis
  • PostgreSQL
  • MongoDB
  • Git
  • Linux
  • GCP

Education

The University of Alabama

'27

B.S. Computer Science · Minor in Robotics

GPA 4.00/4.00

Achievements

  • Google Summer of CodePostman · Open Source
  • Google Code-in WinnerOpen Source · Global
  • ACM ICPC FinalistCompetitive Programming
  • 4x President's ListUniversity Honors & Emerging Scholar
  • 2x UGAHacks WinnerMindBeats · EEG + AI

02 / Projects

Ideas, shipped in code.

Featured

01 / Builder

CRISPRR.bio

Web platform for CRISPR guide design and Cas9 analysis — guide scoring, off-target search, and export-ready instructions for researchers.

GitHub
CRISPRCas9BioinformaticsNext.jsPython

02 / Winner, UGAHacks

MindBeats

EEG-based music recommendation system that utilizes real-time brain signals and emotion detection via custom CNN model to generate playlist recommendations.

PythonTensorFlowStreamlitOpenAI APIEEGCNN

03 / Founder

NeuroOS

Hardware-agnostic BCI operating system that translates raw EEG into clean intent APIs — like iOS for brain-computer interfaces.

GitHub
BCIEEGAITypeScriptSDKAccessibility

04 / Developer

Neuroscope

EEG-powered neurotechnology to perform complex robotic simulation using brain waves and writing commands via Scratch like interface.

JavaScriptPythonElectronBCIEEGRoboticsBlockly

05 / Winner HackUGA 11

Lifeline

AI-powered second responder that eliminates busy signals during emergencies — ultra-low-latency voice agent in 29+ languages with intelligent dispatch escalation.

TwilioGeminiElevenLabsNode.jsNext.jsWebSockets

06 / Developer

InfraOD

Infrared-based object detection pipeline powered by YOLOv8 for real-time thermal vision applications.

PythonYOLOv8Computer VisionOpenCVPyTorch

03 / Experience

06 Roles

Shipt

Backend Engineer Intern

Birmingham, AL

Jun 2025 — Aug 2025

Shipped

Gen AI Chatbot

12×

Integrated

Stripe Refunds

100K+

Fixed

Checkout Flow

GoGraphQLKafkaStripe

Center for Advanced Public Safety

Backend Developer

Tuscaloosa, AL

Aug 2024 — Present

Automated

ArcGIS Pipeline

Python

Scaled

Crash Analytics

67

Deployed

SQL Framework

170+
GoNext.jsDockerSQL

Google Summer of Code

Software Developer

Postman · Open Source

Remote

May 2024 — Aug 2024

Generated

Schema CLI

OSS

Standardized

JSON Models

C#CLIJSON Schema

Human Tech & Interaction Lab

Research Assistant

Tuscaloosa, AL

Jan 2024 — Present

Published

CHI 2025 Paper

CHI

Built

Neuroscope BCI

Live

Trained

EEG/EMG Platform

PythonJSElectronBCI

Dubverse

AI Developer

Delhi, India

Oct 2021 — Oct 2022

Led

CV Product Team

6

Shipped

Lens Masking

$100/wk
PythonTensorFlowGCPOpenCV

04 / Research

Physiological computing for learning and robotics.

May 2024

PhysioBots: Engaging K-12 Students with Physiological Computing and Robotics

CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI EA '24)

View Publication

Authors

Myles Lewis, Pranay Joshi, Wesley Cade Junkins, Vincent Ingram, Chris S. Crawford

DOI

10.1145/3706599.3720106

Physiological computing, which involves using physiological signals to control technology, has the potential to engage K-12 students in computing education. PhysioBots combines physiological computing with robotics to engage K-12 students in computing education while fostering creativity and problem-solving skills.

Physiological ComputingRoboticsK-12 EducationEEGEMGHuman-Computer InteractionSTEM Education

05 / Let's Talk

Open to projects, opportunities, and collaborations.

Resume