Mankeerat Sidhu
Chief gpu connector @ Tandemn
About
From the start of my high school career, I have been involved in computer engineering innovations and science fairs. I have competed at both Provincial and National level science fairs and won gold and bronze respectively. I have worked with researchers from my local university to develop my innovations and improve my skills in computer hardware and software. I also have a great interest for physics and math, winning multiple math contests and being in the UBC physics Olympics team for my school
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United States
Computer Software
Multimodal AI Systems, Conversational AI, AI for Human-Machine Interaction, Language Model Fine-Tuning, Metrics for Chatbots, Hallucination Detection in AI Models, Object Detection and Action Models, Zero-shot Image Grounding, Multimodal Representation, Cross-Document Question Answering, Long Document Summarization, Argument Mining, Scientific Automated Report Generation, Generative AI, Retrieval-Augmented Generation (RAG), Fact-checking and Hallucination Reduction, Vector Search Optimization, LLM inference frameworks, Innovations, Science Fairs
Experience
Chief gpu connector
Tandemn
Making Hardware accelerators accelerate more smoothly and efficiently
SPIN Research Intern
National Center for Supercomputing Applications
Champaign, Illinois, United States
- Developed a cross-document QA report generation system, reducing literature survey time by 80% with innovative NLP and web-based solutions. - Engineered a dynamic chatbot interface, increasing user engagement by 40%, allowing researchers to stay up-to-date with relevant research papers. - Led the design of a three-module system combining user query retrieval, argument mining, and report generation, processing over 1000 papers with 95% relevancy accuracy.
BLENDER NLP Research Intern with Prof. Heng Ji
BLENDER lab @UIUC
Champaign, Illinois, United States
- Developed a zero-shot image grounding system with a 30% improvement over GroundingDINO, providing a high-accuracy, end-to-end solution. - Introduced a new metric for LongDocEval, leveraging LLMs for meta-review generation, outperforming human benchmarks by 10%. - Designed a hallucination checking system for video object detection, increasing object action model accuracy by 40% and recall by 60%.
Generative AI Solutions Research Intern
ARA
Champaign, Illinois, United States
- Designed and implemented a cutting-edge RAG-based chatbot integrating over 1000 proprietary documents, achieving an impressive 98% chunk retrieval accuracy. - Improved chatbot's response time by 90% using vLLM, significantly enhancing user engagement and satisfaction. - Integrated advanced topic modeling and hallucination checks, boosting FactCC scores to 97%, reducing hallucination rates in complex queries.
NLP Experimentation and Research Team
Amazon
Boston, Massachusetts, United States
- Led a team of researchers in the Amazon Alexa SocialBot Grand Challenge, managing complex multi-modal AI innovations and interactions. - Spearheaded the development of advanced AI systems like human engagement categorizers and neural response rankers, improving system ratings from 2.2 to 3.5. - Improved conversation transitions and engagement tracking through LLM integration, optimizing user experience and search query generation.
Research Intern
Augmented Listening Lab @ UIUC
Urbana-Champaign Area
Working to develop a communication loop, ultimately the whole user interface between the audio interface and ROS to aid in the research in the Augmented Listening Lab. Learning about Client - Server interaction and development in research environments
Education
University of Illinois Urbana-Champaign
Computer Engineering
Mankeerat Sidhu's Contact Information
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