Keval Parmar — AI Researcher
With a strong foundation in Information Technology, I am, at my core, a builder. While my roots are in Python and deep learning (from building DCGAN image generators to voice-controlled assistants), my true passion lies in AI Systems Engineering. I don't just write scripts; I build complete, production-ready products. I specialize in taking raw AI capabilities—like LLMs, LangGraph, and Azure OpenAI—and weaving them seamlessly into full-stack web applications using Django and React. Whether it’s engineering a multilingual museum chatbot or designing a database-driven portfolio with dynamic AI insights, I focus on turning complex backend logic into beautiful, user-centric experiences. For me, code is a creative medium. Outside of the terminal, I am deeply into music, which reinforces my belief that the best solutions come from balancing strict analytical logic with creative flow. I am always exploring the absolute edge of industry trends, and I am currently looking to bring my tech stack to collaborative, dynamic environments to build the next generation of intelligent software.
Stackforce AI infers this person is a SaaS-focused AI Systems Engineer with expertise in full-stack development.
Location: Devbhumi Dwarka, Gujarat, India
Experience: 0 mo
Skills
- Django
- Large Language Models (llm)
- Python (programming Language)
Career Highlights
- Expert in AI Systems Engineering and full-stack development.
- Proven ability to integrate LLMs into web applications.
- Strong foundation in Python and deep learning technologies.
Work Experience
ELEVATE
Intern (1 mo)
IT Voice Media
Campus Ambassador (8 mos)
GitHub
Independent AI Developer & Open Source Contributor (3 yrs 7 mos)
Education
Bachelor of Technology - BTech at Marwadi University