Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Kevin Doshi. I’m a computer science enthusiast focused on AI/ML research, adaptive learning, and building scalable systems. As a Research Assistant at Stevens Institute of Technology, I explore LLM-driven practice problems and intelligent quizzing platforms to improve knowledge retention and personalized learner experiences. Beyond research, I enjoy teaching, cloud deployments, and open-source collaboration. I thrive on turning complex problems into practical tools, with human-in-the-loop validation to ensure correctness and real-world impact.…Hi, I’m Kevin Doshi. I’m a computer science enthusiast focused on AI/ML research, adaptive learning, and building scalable systems. As a Research Assistant at Stevens Institute of Technology, I explore LLM-driven practice problems and intelligent quizzing platforms to improve knowledge retention and personalized learner experiences. Beyond research, I enjoy teaching, cloud deployments, and open-source collaboration. I thrive on turning complex problems into practical tools, with human-in-the-loop validation to ensure correctness and real-world impact.

Kevin Doshi

Full Stack Developer, Back-End Developer, Front-End Developer, +2





Hi, I’m Kevin Doshi. I’m a computer science enthusiast focused on AI/ML research, adaptive learning, and building scalable systems. As a Research Assistant at Stevens Institute of Technology, I explore LLM-driven practice problems and intelligent quizzing platforms to improve knowledge retention and personalized learner experiences. Beyond research, I enjoy teaching, cloud deployments, and open-source collaboration. I thrive on turning complex problems into practical tools, with human-in-the-loop validation to ensure correctness and real-world impact.…Hi, I’m Kevin Doshi. I’m a computer science enthusiast focused on AI/ML research, adaptive learning, and building scalable systems. As a Research Assistant at Stevens Institute of Technology, I explore LLM-driven practice problems and intelligent quizzing platforms to improve knowledge retention and personalized learner experiences. Beyond research, I enjoy teaching, cloud deployments, and open-source collaboration. I thrive on turning complex problems into practical tools, with human-in-the-loop validation to ensure correctness and real-world impact.

Available to hire

Hi, I’m Kevin Doshi. I’m a computer science enthusiast focused on AI/ML research, adaptive learning, and building scalable systems. As a Research Assistant at Stevens Institute of Technology, I explore LLM-driven practice problems and intelligent quizzing platforms to improve knowledge retention and personalized learner experiences.

Beyond research, I enjoy teaching, cloud deployments, and open-source collaboration. I thrive on turning complex problems into practical tools, with human-in-the-loop validation to ensure correctness and real-world impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Research Assistant at Stevens Institute of Technology

October 1, 2025 - October 27, 2025

Leveraging LLMs to automatically generate high-quality practice problems with adaptive difficulty levels, optimizing knowledge retention and personalized learning experiences. Built adaptive algorithms to tailor question difficulty and contribute to an intelligent quizzing platform, incorporating human-in-the-loop validation to ensure correctness and mitigate hallucinations.

Teaching Assistant (Distributed Computing) at Sardar Patel Institute of Technology

May 1, 2025 - May 1, 2025

Guided 20+ undergraduates in distributed computing through weekly labs and lectures on RMI/RPC, clock synchronization, and deadlocks. Graded assignments and mentored students one-on-one to improve problem-solving skills and overall performance.

Research Intern at Indian Institute of Technology, Bombay

June 1, 2024 - June 1, 2024

Researched electric circuit power system components across Mumbai, analyzing and processing over 1M+ large-scale power system records using statistical techniques and data modeling principles, creating a MongoDB database with automated data parsing pipelines. Built a project to store power system records, analyze data, and map relationships between interconnected components, with features to input large data files automatically, export entire datasets as CSV, and track every change using MongoDB pipelines.

Cloud Computing Intern at Academor Edutech

August 1, 2023 - August 1, 2023

Deployed production-ready ML and full-stack applications across 7 projects on AWS by configuring EC2 instances and automated deployment pipelines. Optimized deployment workflows by automating VM configurations and integrating monitoring, improving scalability and reliability of hosted applications.