Amit Agarwal

- Built deep-learning based models to classify ransomware from other malwares or benign applications for Android-based IoT devices by using API call sequences as input data using frameworks such as PyTorch, and Scikit-Learn.

- Deployed AI-driven cloud-native 4G/5G solutions and integrated Cloud Native Functions (CMM, CMG) using Kubernetes, Helm, Harbor, OpenStack with automated CI/CD deployments. - Built monitoring dashboards with Python (Matplotlib, Seaborn) and implemented observability (Prometheus/Grafana). Network performance optimization, automate telemetry data processing, and predictive analytics to enhance QoS/customer experience for 4G/5G rollouts. - Built monitoring dashboards and Python data pipelines for 5G analytics focusing on scalability. - Delivered technical workshops and presentations on 5G optimization, cloud-native architectures and CNF solutions. - Created proof-of-concepts showcasing AI-driven automation potential.

Context: - Project on Quality of Service of 3G radio network for Bouygues Telecom; 2G re-farming Achievements: - Conducted exploratory data analysis to identify trends and anomalies, using Python for data preprocessing, visualization, and network performance insights to optimize network configurations and validate QoS for 3G/4G clusters.

An an Optimization engineer, I worked on Orange and Bouygues Telecom projects and was responsible for the validation of several projects based on KPI performance monitoring: - RNC3820, RUS 80W and R/RUS 900MHz 80W Validation for W10.1.3.10, W11.1.2.9; - RBS6201, RBS6301 Validation; - L12B/OSS12.2 Validation; - Bouygues 2G Swap and integration projects - Optimized network configurations and validated QoS across 2G/3G/4G networks - Developed automation scripts for network monitoring and performance optimization - KPI Analysis and reporting using ENIQ/BO (Availability, Accessibility, Retainability, Mobility, Integrity KPIs) and dashboard creations - Led network optimization strategies and LTE pilot validations for multiple telecom operators - Executed 2G swap activities and data-driven interference reduction initiatives.

- Spearheaded data analysis on 2G/3G network performance metrics (KPIs) to identify and reduce interference, optimize network clusters, and fine-tune parameters for frequency planning using ATOLL. - Preparations for tender bids for frequency planning (refarming) project

Internet and IP telephony services: - Analyzed network traffic patterns to optimize system performance, implemented algorithmic solutions for load balancing, and monitored key performance metrics (latency, jitter) using data visualization and monitoring tools such as NAGIOS and CACTI.

Worked on day to day maintenance of a VoIP network, configure routes on TELES iSWITCH, ran trials on open source VoIP solutions like openSER, Asterisk, mySER Admin etc.

- Conducted performance testing and validation of middleware on high-performance computing clusters, including load and regression testing, to ensure system reliability and scalability. - Validated middleware solutions, leveraging clustering and distributed computing techniques.

Configuration and fault tracing on IP-based Ground Gateways (GGW) and Remote Gateways (RGW) with nanoBTS for voice calls, GPRS throughput and supplementary services.

Spacetel, a GSM operator in Guinea: - Led the deployment and optimization of GSM network, including data-driven site planning and performance monitoring, and billing systems for post-paid subscribers. - Led the local team to swap out Ericsson with Alvarion radio access solutions. - BTS and BSC dimensioning and configuration.