Summary
Overview
Work History
Education
Skills
Projects
Timeline
Generic
Divya Singhal

Divya Singhal

AI/ML ENGINEER | TELECOM AI SPECIALIST | QA TEST MANAGER | 5G CORE NETWORK EXPERT
Gurugram,HR

Summary

Transformative AI/ML and Telecom Technology Leader with 11 years of experience in 5G Core Networks, Satellite Communications, and AI-powered automation. Expertise in the complete AI lifecycle, including model development, optimization, and deployment using Python, TensorFlow, and cloud-native technologies. Skilled in delivering telecom transformation programs and intelligent network solutions, integrating AI systems with enterprise platforms to enhance operational efficiency and drive digital transformation.

Overview

2
2
Languages
11
11
years of professional experience

Work History

QA Test Manager – AI Enabled Telecom Validation & Integration

Wipro Technologies Pvt. Ltd.
07.2025 - Current
  • Led end-to-end integration testing and validation activities for Eutelsat OneWeb satellite communication platforms.
  • Manage cross-functional validation and integration teams, supporting international telecom deployments.
  • Perform API testing using Postman, Newman, MuleSoft, and REST APIs.
  • Manage release planning, integration readiness reviews, defect triage, and production sign-offs.
  • Collaborate directly with stakeholders across France and global business units.
  • Improve testing efficiency through automation-driven validation frameworks.
  • Mentor testing teams and provide technical leadership.

Technical Contributions.

  • Developed Python-based automation solutions for validation workflows and reporting.
  • Led end-to-end validation of 5G Standalone Core Network environments.
  • Tested AMF, SMF, UPF, NRF, and NSSF network functions.
  • Automated test execution using Python and Robot Framework.
  • Integrated testing pipelines using GitLab and Jenkins.
  • Conducted KPI and QoS validation for throughput, latency, availability, and reliability.
  • Delivered customer demonstrations and production deployment sign-offs.

Key Achievements.

  • Improved automation efficiency through Python-based validation frameworks. Reduced test execution effort by 60%.
  • Successfully delivered multiple global telecom projects. Increased the reusability of the test cases by applying parameterization.
  • Enhanced testing productivity and release quality through automation initiatives. Automated 1,000+ test cases.
  • Performed protocol-level troubleshooting using HTTP/2, NGAP, and PFCP.
  • Supported large-scale satellite communication platform validation.
  • Supported large-scale satellite communication platform validation.
  • Led comprehensive testing strategies for AI-enabled telecom systems, enhancing integration efficiency and reliability.
  • Developed automated testing frameworks utilizing Python and Selenium, significantly reducing regression error rates.
  • Collaborated with cross-functional teams to refine QA processes, fostering a culture of continuous improvement.
  • Implemented rigorous test cases for telecom applications, ensuring adherence to industry standards and client specifications.
  • Established clear communication channels between QA and development teams, ensuring timely resolution of issues discovered during testing phases.
  • Developed comprehensive test cases and scripts, resulting in thorough coverage of all critical functionalities.

Planning & Optimization Engineer – Core & IMS

Ericsson India Global Pvt. Ltd.
01.2017 - 01.2021
  • Worked on 2G, 3G, LTE, IMS, and VoLTE core network optimization.
  • Performed IMS and VoLTE call flow analysis and troubleshooting.
  • Improved network KPIs, including CSSR, CST, CSFB, SRVCC, and Handover Success Rate.
  • Conducted root cause analysis for network performance issues.
  • Supported network optimization initiatives for telecom operators.
  • Collaborated with global teams to improve service quality.
  • Performed network performance analysis and KPI monitoring.
  • Improved network performance through optimization initiatives.
  • Contributed to successful IMS and VoLTE deployments.
  • Supported global telecom transformation programs.

Technical Contributions

  • Worked on NFV, and virtualization technologies.
  • Supported OpenStack cloud environments.
  • Managed VNF deployment activities.
  • Supported global telecom transformation programs.
  • Led initiatives to optimize network performance through advanced simulation tools, enhancing overall system efficiency.
  • Developed and implemented strategies for capacity planning, resulting in improved resource allocation and service quality.
  • Utilized machine learning algorithms to analyze large datasets, driving actionable insights for network optimization.
  • Mentored junior engineers on best practices in planning and optimization, fostering professional growth and knowledge sharing.

Assistant Engineer – Network Operations

Vodafone India Pvt. Ltd.
01.2015 - 01.2017
  • Supported network optimization initiatives to enhance overall service quality.
  • Coordinated issue resolution among network and operations teams to minimize service disruptions.
  • Monitored service performance and network availability.
  • Performed service assurance and customer impact analysis.
  • Provided operational support for mobile network and data services.
  • Highlighted significant accomplishments.
  • Improved operational efficiency through proactive issue management.
  • Supported network performance enhancement programs.
  • Contributed to customer service quality improvement initiatives.
  • Streamlined network operations by implementing monitoring tools, enhancing system performance and reliability.
  • Led cross-functional teams to optimize network configurations, resulting in improved service quality.
  • Conducted root cause analysis for network issues, reducing downtime and increasing operational efficiency.
  • Developed and documented standard operating procedures for network maintenance, ensuring compliance and consistency.

Education

Master of Technology (M.Tech) - Applied Artificial Intelligence

Visvesvaraya National Institute of Technology (VNIT)
Nagpur, India
01-2026

Bachelor of Technology (B.Tech) - Electronics & Communication Engineering

Uttar Pradesh Technical University (UPTU)
Lucknow, India
01-2015

Skills

Telecommunications testing

Automated testing

Test automation tools proficiency: Postman, Newman, MuleSoft, Robot Framework, GitLab, Jenkins, JIRA, SharePoint, Wireshark,Spirent Landslide

AI and ML: Classification & Regression, Neural Networks, Predictive Analytics, Explainable AI (SHAP), Feature Engineering, Time Series Forecasting

Natural language processing: Transformers, Tokenization, Lemmatization, NLTK, Text Classification, Risk Prediction, Context Aware Language Models

Deep Learning Technologies: TensorFlow, Keras, CNN, LSTM, GRU, Transformer Architecture

Computer Vision: OpenCV, CNN, Image Processing, Image Segmentation, Object Detection, YOLO, Edge Detection

Programming & Data Engineering: Python, SQL, Pandas, NumPy, Scikit-Learn, REST APIs

Cloud & Virtualization: OpenStack, NFV, Linux, Docker, Kubernetes (Exposure)

Projects

AI-Driven 5G QoS Prediction & Telecom Network Intelligence Platform

Project Overview Developed an end-to-end AI-powered telecom analytics platform for real-time QoS prediction and intelligent network monitoring. Technologies Used Python, Scikit-Learn, TensorFlow, FastAPI, Streamlit, SHAP Key Contributions Built Random Forest, XGBoost, LightGBM, LSTM, GRU, and Transformer models.  Achieved approximately 96% prediction accuracy using Transformer architecture.  Implemented Explainable AI using SHAP.  Developed FastAPI-based prediction services.  Created Streamlit dashboards for KPI monitoring.  Automated KPI analysis using RSRP, SINR, RSSI, Throughput, Latency, and Jitter metrics.  

AI & ML Based 5G Telecom Network Testing Framework Project Overview Designed an intelligent telecom testing framework utilizing AI and Machine Learning techniques. Technologies Used Python, MLflow, DVC, Prefect, Scikit-Learn Key Contributions Implemented anomaly detection models using Isolation Forest.  Built predictive testing capabilities.  Developed automated fault detection systems.  Created MLOps architecture using MLflow, DVC, and Prefect.  Automated ETL, Training, Evaluation, and Deployment pipelines.  Enhanced telecom validation efficiency using AI-driven approaches.  ClauseGuard – NLP Based Contract Risk Analyzer Project Overview Developed an AI-powered legal contract intelligence system for automated clause classification and risk prediction. Technologies Used Transformers, NLP, Python, Deep Learning Key Contributions Processed and analyzed over 9000 legal clauses.  Developed Transformer-based NLP models.  Implemented clause classification pipelines.  Built contract risk prediction models.  Achieved 95.66% prediction accuracy.  Applied tokenization, embeddings, and self-attention mechanisms.  

Computer Vision & Object Detection System -Project Overview Designed and developed computer vision applications utilizing CNNs and object detection frameworks. Technologies Used OpenCV, CNN, YOLO, Python Key Contributions Developed image classification models.  Implemented image enhancement and segmentation workflows.  Applied object detection techniques using YOLO.  Performed feature extraction and edge detection.  Built image processing pipelines using OpenCV.

Timeline

QA Test Manager – AI Enabled Telecom Validation & Integration

Wipro Technologies Pvt. Ltd.
07.2025 - Current

Planning & Optimization Engineer – Core & IMS

Ericsson India Global Pvt. Ltd.
01.2017 - 01.2021

Assistant Engineer – Network Operations

Vodafone India Pvt. Ltd.
01.2015 - 01.2017

Bachelor of Technology (B.Tech) - Electronics & Communication Engineering

Uttar Pradesh Technical University (UPTU)

Master of Technology (M.Tech) - Applied Artificial Intelligence

Visvesvaraya National Institute of Technology (VNIT)

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Divya SinghalAI/ML ENGINEER | TELECOM AI SPECIALIST | QA TEST MANAGER | 5G CORE NETWORK EXPERT