Avaneesh Pandey

• Contributed to the development of features for the distributed architecture of the Log Analysis Framework on AWS, utilizing services such as Lambda, EC2, S3, CloudWatch, Auto Scaling, DynamoDB, and SQS to enhance functionality and performance.
• Worked on new parsers for logs.
• Debugged and fixed several memory and run-time issues and optimized code for improved performance

Tech Stack: Python, Django, SQL, AWS

• Designed and developed responsive web pages and backend functionality using Django for a centralized system, enabling efficient field log analysis, issue reporting, and coverage monitoring.
• Tech Stack: Django, HTML, CSS, Javascript, SQL, AWS

• Collaborated with 5G Performance, Functional, and Software teams to design and implement log analysis scenarios for 5GNR subsystems
• Developed wrapper scripts to aggregate data from multiple LAF runs, generate CSV files, and visualize KPIs through detailed plots, enhancing analysis efficiency.
• Onboarded multiple teams on the LAF platform
• Tech Stack : Python, SQL, Pandas

Developed a solution to detect collisions of transient events within a defined window, enabling the capture of transient KPIs. This tool supported Qualcomm's System, Modem, and WLAN teams in identifying chipsets crashes, diagnosing root causes, and improving overall performance

Tech Stack: Python, Seaborn, Matplotlib, SQL

• Designed and implemented new feature requests using a LAF (Python-based framework), streamlining processes and enhancing capabilities for modem test teams
• Debugged and fixed several memory and run-time issues and optimized code for improved performance
• Tech Stack: Python, SQL