Experience

• 

  Lovely professional university

  Jan 2022 - Apr 2022

  Undergraduate research assistant

  Data Logging for a real-time flow of packet, registering and categorizing multiple features of a packetBuilding Multiple Data Visualization to get a better grasp of data Using Arima Model to predict further congestion or forthcoming coming violation in a network

• 

  Emplay inc.

  Apr 2022 - Sept 2022

  Data science intern

  During my internship at Emplay, I spearheaded the development of an AutoTagging application designed to enhance our customers' file management system. My project involved several key phases:1)Data Preparation: Leveraged Pandas to clean and preprocess training data, ensuring the dataset was optimized for model training.2)Data Segregation: Employed Scikit-learn (sklearn) to effectively segregate the data, enabling accurate and efficient machine learning processes.3)Model Training and Deployment: Utilized Google Cloud Platform's Vertex AI to train and deploy a robust tagging model. This model automatically generates tags for files based on their descriptions and titles, adhering to a pre-established tagging methodology within the system.Through this project, I honed my skills in data science, machine learning, and cloud-based AI solutions, contributing to the improvement of Emplay's service offerings. Show less

• 

  Emplay inc.

  Feb 2023 - now

  As a Data Scientist at Emplay, I have been dedicated to enhancing our data infrastructure and developing innovative cloud-native applications. My key responsibilities and achievements include:1)Event-Driven Ingestion Services: Worked closely on transforming ingestion services to be event-driven using RabbitMQ as a message broker. This approach improved the efficiency and scalability of our data processing workflows.2)Cloud Native Application Development: Leveraged the Google Cloud Platform (GCP) to develop cloud-native applications that serve as counterparts to our in-house developed apps. This ensured seamless integration and enhanced the overall performance and reliability of our systems.3)Data Infrastructure Optimization: Continuously optimized data ingestion and processing pipelines to ensure high availability, reliability, and scalability. This included the integration of advanced monitoring and alerting mechanisms to maintain robust data workflows.4)Cross-Functional Collaboration: Collaborated with various teams to align our data solutions with business needs and technical requirements. This included working with software engineers, data analysts, and product managers to deliver high-quality data products.5)Innovative Solutions Implementation: Introduced and implemented new technologies and methodologies to streamline data operations and improve overall system efficiency. This included adopting best practices for cloud computing, containerization, and microservices architecture.Through these efforts, I have significantly contributed to the modernization and optimization of Emplay's data infrastructure, enhancing our capability to deliver high-quality, data-driven solutions to our clients. Show less As an Associate Data Scientist at Emplay, I played a pivotal role in developing and optimizing various data-driven applications and services. My responsibilities and achievements included:1)Pipeline Development: Designed and implemented a robust data processing pipeline, ensuring seamless data flow and integration across multiple systems.2)Endpoint Creation: Utilized FastAPI to develop efficient and scalable endpoints, facilitating smooth data access and interaction.3)Quality Assurance: Introduced pytest into the development workflow to ensure comprehensive testing of services, enhancing reliability and performance.4)Docker Optimization: Addressed challenges related to the large size of Docker images by implementing SlimToolkit, a tool for minimizing Docker images, thereby improving deployment efficiency.5)Application Development: Contributed to multiple applications aimed at Retrieval-Augmented Generation (RAG) and the ingestion of customer files into Elasticsearch. These applications supported downstream services for semantic search and context-based inferencing, leveraging Large Language Models (LLMs) to generate customer-specific solutions.6)AI Safety and Monitoring: Collaborated with WhyLabs to integrate guardrails on LLM responses, ensuring that outputs were accurate, safe, and aligned with user expectations.7)Client Collaboration: Maintained and improved tagging systems for SAP, a Fortune 500 client, enhancing their learning platform and ensuring accurate and efficient data categorization.Through these efforts, I enhanced my expertise in data science, API development, containerization, machine learning, and AI safety, significantly contributing to Emplay's technological advancements and service quality. Show less

  • Data Scientist

    Apr 2024 - now

  • Associate Data Scientist

    Feb 2023 - Apr 2024