Software Engineer at XCOM Labs | 5G RAN

Bengaluru, Karnataka, India · Hybrid

Bengaluru, Karnataka, India · Hybrid

Bangalore Urban, Karnataka, India

Bengaluru Area, India

Thiruvananthapuram, Kerala, India


Bachelor of Technology, Computer Science
College of Engineering Trivandrum
AISSCE, PCMB
Rajagiri Christu Jayanthi Public School
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I am a software engineer working on 5G RAN wireless networks with over 6 years of experience. Currently with XCOM Labs where we build high-performance and high reliability private 5G solutions. Expertise in - 5G NR Layer 2 : MAC, RLC, PDCP, SDAP, NRUP - Programming : C++, C, DPDK, Linux programming, Python - Problem solving : Crashs, Memory leaks, timeline issues, pipeline and latency optimizations
Bengaluru
kiro
Senior Member of Technical Staff at XCOM Labs, Dec 2024 - Present · 1 yr 9 mos, Bengaluru, Karnataka, India · Hybrid
Member of Technical Staff at XCOM Labs, Oct 2022 - Jan 2025 · 2 yrs 4 mos, Bengaluru, Karnataka, India · Hybrid, Part of the XCOM RAN L2-L3 Software team. - Implemented UL Sync-loss detection and PDCCH order RACH recovery. - Troubleshooting stability issues, packet loss, UE attach issues etc. - Instrumented frameworks for profiling timeline issues and memory leaks - Implementation of performance counters to improve observability of the system
Software Engineer at Altran, Apr 2021 - Sep 2022 · 1 yr 6 mos, Bangalore Urban, Karnataka, India, Part of the RAN Layer 2 team, working on development and maintainenance of the PDCP sub-layer, NRUP and related features. - Implemented flow control algorithm between gNodeB CU and DU - worked on intra and inter gNodeB CU Handover scenarios - troubleshooting issues for Tier 1 clients field deployment
Software Engineer at Tata Consultancy Services, Aug 2019 - Mar 2021 · 1 yr 8 mos, Bengaluru Area, India
Summer Intern at Quest Global, Mar 2018 - May 2018 · 3 mos, Thiruvananthapuram, Kerala, India, - worked on a deep-learning framework to implement generic neural networks, implemented the module used for data augmentation and cleaning - implemented a convolution neural networks based solution for classifying the UrbanSound8k dataset.
Bachelor of Technology, Computer Science, College of Engineering Trivandrum
AISSCE, PCMB, Rajagiri Christu Jayanthi Public School
github: https://github.com/arv-sajeev