Vijit Malik — AI Researcher
Vijit Malik is an Applied Scientist II at Amazon with a proven track record of leading high-impact Generative AI initiatives. He specializes in the end-to-end development of systems powered by Large Language Models (LLMs) and Vision-Language Models (VLMs) to create enhanced customer experiences. At Amazon, Vijit has been a key contributor to the development of Amazon Rufus, spearheading workstreams that leverage VLMs to create responsive infographics from product images and optimize affordability-related queries, resulting in a 33% increase in user engagement. A key achievement includes engineering a novel conversational product recommendation system using a multi-agent LLM architecture. This system improved baseline performance by 29%, achieved a 55% reduction in latency, and delivered cost savings of $1.5M. Beyond his industry contributions, Vijit is a dedicated researcher with multiple publications in top-tier AI conferences, including CIKM, EMNLP, ACL, and NAACL. His research interests span crucial domains including Safety in LLMs, Responsible AI, Multi-Agent Systems, and in-context learning methodologies. His work explores diverse topics from socially aware bias measurement in language models to novel methods for preference extraction using LLM agents, contributing to a more secure and equitable AI ecosystem. Vijit holds a B.Tech from the Indian Institute of Technology, Kanpur and is proficient with core machine learning frameworks like PyTorch, Hugging Face, and AWS. He is passionate about tackling complex challenges at the intersection of research and real-world application to build the next generation of intelligent systems.
Stackforce AI infers this person is a Generative AI specialist with a focus on enhancing user experiences through advanced AI systems.
Location: Delhi, India
Experience: 4 yrs 1 mo
Skills
- Generative Ai
- Natural Language Processing (nlp)
- Conversational Ai
- Recommendation Systems
Career Highlights
- Led high-impact Generative AI initiatives at Amazon
- Improved user engagement by 33% through innovative solutions
- Published research in top-tier AI conferences
Work Experience
Amazon
Applied Scientist II (1 yr 6 mos)
Applied Scientist (2 yrs 1 mo)
Software Engineer (6 mos)
Observe.AI
Machine Learning Research Intern (8 mos)
University of California, Los Angeles
Research Intern (7 mos)
Education
Bachelor of Technology at Indian Institute of Technology, Kanpur
Intermediate at REMAL PUBLIC SCHOOL
High School at Canterbury Public School