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saurav sinha

@sauravsinha

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5G Developer at Tieto, developing MAC L2 features and analyzing network KPIs for wireless performance insights.

India

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At Tieto, I develop and test features for the MAC L2 protocol stack in C on Linux, including PDCCH open-loop link adaptation. I also analyze network KPIs and protocol logs with Python to identify trends and anomalies.

At Radisys Corporation, I worked on 5G MAC features including HARQ and UCI, and implemented runtime modification for dynamic HARQ. I used GDB and protocol trace analysis to identify and fix defects such as memory leaks, crashes, and race conditions.

At Nokia, I developed RRC features, including EN-DC support for the 5G NSA RRC setup request, and analyzed customer-reported failures against 3GPP specifications. My work also includes 4G and 5G testing, telecom data analysis, and machine learning applications for log analysis and troubleshooting.

Experience

Work history, roles, and key accomplishments

Field Test Engineer

L&T Technology

Feb 2015 - Sep 2016 (1 year 7 months)

Conducted modem field testing of Intel UE in India, China, and South America. Executed field test cases using AT commands and analyzed logs for root cause.

Modem Testing Field Testing AT Commands Log Analysis Throughput Handover Call Analysis UE Flashing

Developer

Radisys Corporation

Involved in feature development and testing for MAC L2 protocol stack using C in Linux. Implemented HARQ and UCI features for 5G MAC layer and fixed software defects.

C Python GDB Wireshark Amarisoft HARQ UCI 5G MAC Debugging Data Analysis Machine Learning Classification Clustering regression

4G RAN Development and Testing

Capgemini

Drove new feature development and bug fixing at Layer 2 for Nokia, and executed 3GPP GCF and customer test cases for Qualcomm UE. Performed log analysis and regression testing.

C Linux TTCN 3 DCI NB IoT 3GPP RRC Mac L2 Testing Automation Log Analysis Anritsu Agilent

Developer

Tieto

Involved in feature development and testing for MAC L2 protocol stack using C in Linux. Applied data analysis and machine learning for network performance optimization and log analytics.

C C++Python Linux Wireshark Data Analysis Machine Learning Statistical Techniques data preprocessing Feature Engineering Deep Learning NLP

Development and Testing

Nokia

Developed and enhanced features of L3 RRC layer, including En-DC support for 5G NSA. Wrote unit tests using Google Test framework and analyzed failure logs.