---
title: "Arvind Sajeev - Senior Member of Technical Staff in Bengaluru | Tal"
description: "Meet Arvind Sajeev, Software Engineer at XCOM Labs | 5G RAN based in Bengaluru. AI stack includes kiro. Explore public work links including github."
image: "https://tal.club/meet/arvind-sajeev/share-image"
---

# Arvind Sajeev on Tal

## Headline

Software Engineer at XCOM Labs \| 5G RAN

## About

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

## Location

Bengaluru

## AI stack

kiro

## Work experience

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\.

## Education

Bachelor of Technology, Computer Science, College of Engineering Trivandrum

AISSCE, PCMB, Rajagiri Christu Jayanthi Public School

## Public links

- github: https://github\.com/arv\-sajeev

[View the original profile](https://tal.club/meet/arvind-sajeev)

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