About Me
I'm Vibhor Gupta — a Senior mmWave Modem Software Engineer at Qualcomm who architects the RF algorithms powering next-generation wireless systems.
I've led the commercialization of industry-first technologies, including Qualcomm's pioneering DSDA+V2X modem. My work spans from low-level embedded systems optimization to cutting-edge CNN models for RF performance prediction — bridging traditional signal processing with modern AI.
Armed with a 4.11/4.0 GPA Masters from University of Michigan EECS, I bring both academic rigor and proven industry impact. My expertise includes 5G/6G protocols, real-time embedded systems, reinforcement learning, and mmWave RF design.
Experience
Qualcomm
mmWave Modem SW Engineer
Leading the effort to bridge the gap between Wireless Communication and Machine Learning Algorithms.
- Redesigned FR1/FR2 Rx algorithms (AGC, SPURLIC) to enhance RF performance.
- Developed a CNN model for frequency-independent IQ imbalance prediction, validating hardware integration feasibility.
University of Michigan
Research Assistant
Reinforcement Learning for scheduling and queue management in communication systems.
- Implemented a Multi-step Deep Q Network Target to solve complex queue serving problems in Criss-Cross Networks.
Qualcomm
mmWave Modem SW Intern
Optimized Real-Time Embedded Systems for faster convergence of Residual Side Bands.
- Re-designed algorithm for Frequency Independent Side Band suppression (SNR improvements).
- Revamped call-flows between co-procs, reducing memory operations.
- Optimized Sideband Calibration timeline by 30%.
Qualcomm
V2X RFSW Engineer
Spearheaded design and commercialization of the first DSDA+V2X modem.
- Led LTE-V2X RFSW team for design and commercialization.
- Developed RFSW solutions for LTE/NR V2X (ACLR, SEM, EVM).
- programmed front-end embedded HW modules (PLLs, LNAs, PAs).
Samsung Research
Network Engineer
Developed Modem protocol procedures for Galaxy A Devices.
- Troubleshot Modem protocol procedures, delivering 3GPP compliant performance.
- Analyzed protocol logs (RRC, MAC) to debug Handover and CSFB scenarios.
Research Projects
RL for NLP Tasks
Enhancing small language models by aligning them with user intent using Reinforcement Learning from Human Feedback (RLHF).
REDD - Disease Detection
Real-time Expedited Disease Detection app for low-resource countries. Diagnoses chest X-rays with 80% confidence.
TCP in mmW Networks
New TCP algorithm implementation for mm-wave networks with extensive analysis.
Cognitive Radios in 5G
Optimizing spectrum utilization via Channel Detection in 5G Networks.