⚡ Chief Engineer, 6G Lab · Samsung R&D Bangalore
Research Engineer specializing in Reinforcement Learning, 6G/5G wireless systems, AI/ML model optimization, and high-performance computing. IIT Kanpur alumnus with 8+ years at Samsung R&D building next-generation telecom solutions.
Chief Engineer · Samsung R&D Institute, Bangalore
Research Engineer blending deep expertise in wireless systems with cutting-edge AI/ML.
I am a Research Engineer at Samsung R&D Bangalore, currently working as Chief Engineer in the 6G Lab, after completing my B.Tech in Electrical Engineering from IIT Kanpur.
My research interests span Reinforcement Learning, Machine Learning, Real-Time Operating Systems (RTOS), and fast data-path multicore design of protocols for high-throughput applications in 6G and 5G networks.
I have hands-on expertise in AI/ML model quantization (CNN & Transformers) for PyTorch, TensorFlow and ONNX deployment using QAT/PTQ strategies, work extensively with NVIDIA's PyAerial SDK with CUDA, and apply compiler optimizations like LLVM and LTO for HPC and low-latency systems.
Deep Q-Networks (DQN) & REINFORCE Policy Gradient for multi-objective 5G radio resource optimization.
SIMD optimizations, LLVM/LTO for low-latency, high-throughput multicore parallel computing systems.
RLC/PDCP layer development, baremetal programming, and distributed system design for next-gen networks.
Bachelor of Technology — Electrical Engineering
2012 – 2016Higher Secondary Education
2006 – 20108+ years of continuous growth at Samsung R&D Institute Bangalore.
IEEE-published research and two granted US patents in wireless telecom scheduling.
A comprehensive stack spanning systems programming, AI/ML, and cloud/DevOps.
Coursera · Dec 2018
Credential ID: WCGKXW657WGY
Show Credential ↗Coursera · Oct 2018
Credential ID: VCNYXHXJTFTH
Show Credential ↗Jitender has a strong command of reinforcement learning, having even published a research paper in the field. His depth of understanding extends across multiple programming languages, making him highly versatile in solving complex problems. His proficiency in CUDA programming enabled efficient parallel computing solutions, and his deep knowledge of MAC layer protocols made him an invaluable asset to our projects. His ability to break down complex problems and find optimized solutions is remarkable.
His work in using reinforcement learning for packet distribution has been groundbreaking, showcasing a keen understanding of how to leverage ML to optimize systems and improve performance. Jitender's innovative approach and meticulous attention to detail have led to significant advancements. He is not only an exceptional professional but also a collaborative team player — highly recommended to anyone seeking expertise in telecommunications or reinforcement learning.
Open to research collaborations, 6G/AI projects, and new career opportunities.
Whether you're looking to collaborate on cutting-edge 6G research, AI/ML optimization projects, or explore new opportunities in high-performance systems — I'd love to connect.