Amanbeer Khanduja Email & Phone Number

Texas, United States

Frisco, Texas, United States

- Pioneering technical strategy for Wi-Fi 7 ML initiatives with Product Management, leading feasibility analysis for next-gen beamforming features and driving ML architecture decisions that will shape future product roadmaps.- Engineered and implemented a chatbot for root cause analysis and NOC operations, leveraging a qLORA fine-tuned LLaMa 3.1 model with HyDE-Augmented RAG agents to streamline troubleshooting processes, reducing network downtime by 30%.- Spearheaded a transformer-based network diagnostics tool using DeBERTa-v3 and custom time-series embeddings, reducing critical outages by 62% across major deployments while achieving 94% precision on failure predictions.- Engineered high-performance utility tools for device management, leveraging Python, Spark, and DuckDB to create efficient and robust internal tooling for up to 1 million concurrent devices.

San Jose, California, United States

- Spearheaded groundbreaking projects in the realm of data visualization, leveraging machine learning techniques such as time series forecasting using transformers and generative adversarial networks.- Demonstrated expertise in the field through the publication of research at the prestigious ACM CHI 2022 conference. Specifically, my paper titled "The Future is Red: Visualizing Wildfire Predictions using Contactless Interaction" showcased innovative approaches to visualizing wildfire predictions, aiming to change the way we understand and respond to these natural disasters.- Recognized for my outstanding contributions to the field, I was honored with the highly competitive 2022/23 SJSU RSCA Fellowship. This esteemed fellowship allowed me to conduct research on wildfire forecasting and analysis, employing advanced machine learning techniques to address critical challenges in predicting and mitigating the impact of wildfires.- Distinguished as a finalist at SJSU Grad Slam 2023, an esteemed competition showcasing top graduate student researchers, where I presented my work under the prestigious SJSU RSCA Fellowship.

San Jose, California, United States

- Instructional Student Assistant with Dr. Jorjeta Jetcheva for Graduate-level course CMPE 252 (Artificial Intelligence and Data Engineering) in Spring 2022. Served as a Teaching Assistant for undergraduate course CMPE 188 (Machine Learning and Big Data) in Fall 2022.- Led a workshop for undergraduate students on chatbots and large language models over Summer 2022.- Created coursework and demonstrations for interactive code-along sessions, touching on concepts related to chatbots, Rasa framework, prompting, large language models, zero-shot learning, and few-shot learning.

Mumbai, Maharashtra, India

Developed a company-wide recommender system for 26,000+ employees, applying content-based filtering with keywords scraped from employee resumes for enhanced onboarding.

Mumbai

Completed a hands-on internship focused on GIS and computer vision, specifically developing a feature extraction model for densely populated areas in India using Python, OpenCV, and TensorFlow.

Master Of Science - Ms, Artificial Intelligence, 3.7/4

Relevant Courses: ● Data Mining ● Machine Learning ● Reinforcement Learning ● Data Engineering ● Natural Language Processing ● Intelligent.

Bachelor Of Technology - Btech, Computer Engineering, 3.3/4

Relevant Courses: ● Data Structures and Algorithms ● Analysis of Algorithms ● Object Oriented Programming ● Relational Database Management.

High School Diploma, 91%

95%