Aug 2024 – Jun 2025 · 10 mos

• Developed and deployed predictive models to analyze the impact of external environmental conditions on critical telecom infrastructure, enabling proactive interventions.
• Building an SQL AI agent using LLM
• Built anomaly detection models within the Google Cloud Platform (GCP) to identify and mitigate potential security risks in real-time.
• Designed, implemented, and optimized data pipelines using Python and SQL to process large- scale datasets, ensuring efficient data retrieval and analysis.
• Created interactive dashboards and visualizations in Tableau and Power BI, providing actionable insights for stakeholders across technical and non-technical teams.
• Conducted exploratory data analysis (EDA) and statistical tests to identify trends and patterns, directly influencing strategic decision-making

Dec 2023 – Jul 2024 · 7 mos

• The project focuses on enhancing Machine Learning Operations (MLOps) at KPN. The core of the thesis
• revolves around a Machine Learning code quality framework we've developed, which assesses various aspects of Python code. This framework integrates with Dataiku, our enterprise machine learning platform, and assists Data Scientists in evaluating their Python recipes within Dataiku projects.
• The primary goal of my thesis is to calibrate the scoring system used by this framework. This involves modifying the scoring mechanism, if necessary, to effectively aid Data Scientists in improving their coding skills. Key research questions include understanding the impact of different score levels on maintenance costs and productivity, and identifying specific areas of code improvement to enhance these scores.

Nov 2022 – Nov 2023 · 1 yr · Amsterdam, North Holland, Netherlands

• Developed a robust SMS penetration testing tool, enhancing security measures across major
• platforms, including Uber and Facebook.
• Played a key role in the design and deployment of Mavenir’s SMS dashboard, boosting its
• functionality and user engagement.

Feb 2021 – Aug 2022 · 1 yr 6 mos · Gurugram, Haryana, India

• Working on an open-source software framework EdgeX and which uses GoLang.
• Building an edge platform between IoT devices and our application with a Bi-Directional flow of
• data to perform actions on these IoT devices
• Building all the services for EdgeX . Testing the connectivity with Our own IOT-IA user
• interface to send and receive real time data from IOT devices .
• Tested the data transfer with Modbus TCP and RTU. MQTT and REST protocols.
• Did the Sanity testing for all the EdgeX services and then the Security testing with approvals to
• test for vulnerabilities in EdgeX services and its dependencies
• Used Terraform to automate Master-Slave Kubernetes Cluster creation.
• Adept in other technologies used like Docker and Kubernetes, Terraform, Spring Boot and
• microservices and more.

May 2019 – Jul 2019 · 2 mos · Gurgaon, Haryana, India

• I utilized my learning in action by designing a working prototype of a Biometric Authenticated & Voice Operated mobile robot. It was primarily intended to replace and assist front-line workers by interactively welcoming visitors in real-time utilizing an AI-conversational interface that can be modified as needed. It also included authentication by facial recognition and security screening at the backend and guided visitors to the desired location in the building by using floor maps. While the prototype achieved basic interactions, authentication and routing, it has more comprehensive applications by incorporating thermal scanning, facial pattern recognition and behavior pattern analysis and utilizing the robots in Hospitality Industry, Hospitals and Retail Outlets.