Khusham Bansal — AI Researcher
I am a Computer Engineering undergraduate and Reliance Scholar '23 focused on building reliable AI systems and high-performance web applications. My experience spans academic research in Generative AI to shipping optimized production code in startups. Where I make an impact:AI Research: Currently researching methods to improve LLM reliability and scalability, focusing on reducing hallucinations for real-world use cases. Full-Stack Engineering: At AltHire AI, I optimized component architecture to reduce page load times by 70% and slashed API calls from 7*n to just 10 total, cutting network overhead by up to 98%. Innovation: Secured 3rd Prize at the Israeli-Indian Hackathon (600+ teams) for developing a real-time IoT data analytics platform. I am proficient in C++, Python, and the MERN stack (MongoDB, Express, React, Node.js), with a strong interest in integrating AI/ML into accessible user interfaces. I am looking for opportunities where I can leverage my background in both research and software development to solve complex technical challenges.
Stackforce AI infers this person is a Full-Stack Developer with a focus on AI and web applications.
Location: Bathinda, Punjab, India
Experience: 9 mos
Skills
- Artificial Intelligence (ai)
- Back-end Web Development
- Python (programming Language)
- Problem Solving
Career Highlights
- Optimized web application performance by 70%.
- Secured 3rd Prize at Israeli-Indian Hackathon.
- Researching LLM reliability and scalability.
Work Experience
Google Summer of Code
Google Summer of Code 2026 Contributor (Meshery) (1 mo)
Thapar Institute of Engineering & Technology
ELC Summer Intern (1 mo)
AltHire AI
Software and Business Intern (5 mos)
Software Engineer (4 mos)
Carpe Global
Web Development Intern (1 mo)
Chegg Inc.
Subject Matter Expert – Computer Science (7 mos)
Education
Bachelor of Technology - BTech at Thapar Institute of Engineering & Technology