Devanarayanan S

Software Engineer

Bengaluru, Karnataka, India7 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Achieved 40% improvement in RTT and Jitter.
Introduced AI architecture reducing debugging time by 30-40%.
Contributed to 6G scheduler development for future RAN.

Stackforce AI infers this person is a Telecommunications Engineer specializing in MAC layer and AI-augmented development.

Contact

Skills

Core Skills

Mac Scheduler AlgorithmsResource Allocation StrategiesAi-assisted Feature ModelingScheduler AlgorithmsL2/l3 Layer DevelopmentWeb/app Development

Other Skills

5G New Radio (NR)C++SchedulerKPI optimizationResource allocationCross-functional collaborationAI integrationDebugging6G researchScheduler developmentL2/L3CEmbedded software developmentLink AggregationProtocol optimization

About

I am a Senior LTE/NR L2 MAC Engineer specializing in scheduler architecture, system-level KPI optimization, and mission-critical feature delivery within gNodeB/eNodeB environments. My core expertise lies in MAC scheduler algorithms and resource allocation strategies across LTE and NR systems. I have strong domain depth in CAT-M handling, Dynamic Spectrum Sharing (DSS – symmetric and asymmetric), Baseband Pooling (BB Pooling), Power Pooling design, and HARQ optimization. Recently contributed to Mission Critical Public Safety QoS feature delivery, achieving ~40% improvement in RTT and Jitter for a live customer deployment. This involved cross-functional task-force collaboration and deep system-level trade-off analysis across PHY, RLC, integration, and scheduler components. I bring extensive hands-on experience resolving both customer and lab-level issues, with strong capability in cross-layer debugging, KPI impact assessment (RTT, Jitter, BLER, Throughput, Latency), and legacy feature impact analysis. In parallel, I actively integrate Agentic AI into telecom engineering workflows. By introducing a Sub-Agent AI debugging architecture and AI-assisted feature modeling approaches, I have enabled: • 30–40% reduction in debugging turnaround time • ~20% improvement in feature development cycles • ~50% personal productivity acceleration I also contribute to 6G MRSS scheduler development within SLS simulation environments, supporting spectrum sharing research and future RAN architecture explorations. Passionate about building intelligent, AI-augmented telecom systems that combine deep protocol expertise with next-generation automation.

Experience

7 yrs 3 mos

Total Experience

3 yrs 7 mos

Average Tenure

4 yrs 10 mos

Current Experience

Nokia

Software Engineer

Aug 2021 – Present · 4 yrs 10 mos · Bangalore Urban, Karnataka, India · On-site

Software Engineer – LTE/NR L2 MAC
Senior contributor in LTE/NR MAC Scheduler domain focusing on resource allocation optimization and mission-critical QoS delivery within gNodeB/eNodeB environments.
Key Contributions
Mission Critical Public Safety QoS
Delivered ~40% improvement in RTT and Jitter for LTE Public Safety deployment.
Worked in cross-functional task-force mode for customer-critical ELISA release.
Recognized in L2/L3 All-Hands for impactful contribution.
Scheduler Domain Expertise
Strong knowledge of scheduler algorithms and resource allocation strategies.
Deep domain expertise in:
CAT-M feature handling
Dynamic Spectrum Sharing (DSS – symmetric & asymmetric)
Baseband Pooling (BB Pooling)
Power Pooling design
Extensive hands-on debugging experience from both customer deployments and lab validation environments.
System-Level Debugging & Cross-Component Collaboration
Led cross-layer issue analysis across PHY, RLC, Integration, and Scheduler components.
Performed KPI-driven trade-off analysis (RTT, Jitter, BLER, Throughput, Latency).
Recognized with Quarterly Award (2025) for scheduler domain debugging excellence.
Asymmetric DSS Feature
Co-led feature delivery with AI-assisted test-driven workflow.
Reduced feature cycle by ~20%.
Identified legacy spec impact early using AI-integrated analysis approach.
AI-Augmented Engineering
Introduced Sub-Agent AI architecture for scheduler debugging.
Achieved 30–40% reduction in debugging turnaround time.
Shared approach with global Nokia L2 contributors.
Actively using AI tools (GHC/Cursor) improving personal delivery efficiency by ~50%.
6G Research Contribution
Developed MRSS scheduler (Joint & Separate models) in 6G SLS simulator.
Enabled 5G–6G spectrum sharing research and future roadmap demonstrations.

5G New Radio (NR)C++SchedulerKPI optimizationResource allocationMAC scheduler algorithms+1

Capgemini engineering

Software Engineer

Mar 2019 – Aug 2021 · 2 yrs 5 mos · Greater Chennai Area · On-site

L2/L3 Datacom Embedded or Application Developer
Integral part of the Embedded Development team, focusing on L2/L3 layer development for Infinera/ECI-telecom projects.
Specialize in refining L2/L3 switches' functionalities to ensure optimal performance and reliability.
Key contributor to the MULAG (Multi Unit Link Aggregation) section, involved in implementing and optimizing L2/L3 layer protocols.
Key Responsibilities:
Lead embedded software development efforts, focusing on L2/L3 layer enhancements and optimizations.
Collaborate with cross-functional teams to understand project requirements and translate them into actionable development plans.
Implement and optimize important L2/L3 protocols such as:
Ethernet (IEEE 802.3)
VLAN (IEEE 802.1Q)
Spanning Tree Protocol (STP)
Rapid Spanning Tree Protocol (RSTP)
Link Aggregation Control Protocol (LACP)
Open Shortest Path First (OSPF)
Internet Group Management Protocol (IGMP)
Conduct thorough testing and debugging to ensure the robustness and stability of embedded systems.
Stay abreast of industry trends and emerging technologies to continuously improve L2/L3 layer protocols and functionalities.
Key Skills & Specializations:
Extensive experience in embedded software development, particularly in L2/L3 layer development for telecom projects.
Proficient in programming languages such as C/C++ and familiar with L2/L3 layer protocols.
Strong problem-solving skills with a keen attention to detail, essential for refining complex switch functionalities.
Experience in Multi Unit Link Aggregation (MULAG) section, specializing in L2/L3 layer protocols.

L2/L3CEmbedded software developmentLink AggregationProtocol optimizationL2/L3 layer development

Dvivert solutions

Intern

Jan 2018 – Feb 2019 · 1 yr 1 mo · Chennai, Tamil Nadu, India · On-site

Web/app development initiatives, specializing in crafting dynamic and user-friendly interfaces for ecommerce platforms.
Pioneered the creation of AI-based chatbots, enhancing customer engagement and streamlining user experiences.

.NET FrameworkMySQLWeb developmentAI-based chatbotsWeb/app development