Christy Abraham Joy

Built the Deep dive workflow for converting natural language user queries into executable Python code using LLMs. Designed multiple pipeline tools like Definition Picker and Planner, leveraging various LLM services including OpenAI, Google Gemini, and Anthropic. Performed extensive prompt engineering for over 10 system prompts and fine-tuned LLM models for specific configurations.

Led growth and innovation at a Generative AI SaaS company, overseeing diverse text and image processing algorithms such as Llama3, Gemini, and Stable Diffusion. Designed and developed a platform for validating and updating Amazon product listings automatically based on Amazon guidelines. Architected the infrastructure, technology stack, and deployment pipeline for two core products, leveraging AWS

Led as the Data Science Lead on various projects, including disease detection and treatment transition detection for prominent pharmaceutical clients. Created multiple AI models for an in-house Healthcare Domain product, addressing areas like Customer Segmentation and Disease Forecasting. Harnessed Scala, SparkML, and PySpark to efficiently manage and process over 5 million data points.

Led a social media analytics project for a media company, implementing AI models for Sentiment Analysis and Social Media engagement analysis. Created Power BI dashboards to visualize and showcase analytical insights to stakeholders. Collaborated with cross-functional teams to translate business requirements into data-driven solutions.

Worked as a Lead Data Scientist for multiple projects across various industries, including Oil and Gas, Retail, and Healthcare. Led the development and implementation of machine learning models for purchase estimates using MaskRCNN and revenue forecasts using ARIMA and RNN. Developed CNN-based solutions for skin cancer and pneumonia detection, and computer vision systems for attendance and signatu

Created an end-to-end ECG signal classification and annotation solution for the in-house healthcare product 'Web Cardio'. Utilized algorithms such as CNN, RNN, and EMD for ECG signal noise reduction, feature extraction, and classification. Established a CI/CD pipeline for automatic and scalable deployment, enabling test automation.

Worked as a software developer in big data technology for the TCS GoSafe product, designed to monitor cab driver performance. Developed and implemented software solutions for data collection, processing, and analysis. Utilized Big Data technologies such as Hadoop, Spark, and Hive.

Grade: CGPA-7.15

Activities and societies: Served as Microsoft Student Partner from Dec 2012 - Jun 2015.

Studied core concepts of electrical and electronics engineering, including circuit analysis, power systems, and digital electronics. Gained foundational knowledge in areas such as control systems and signal processing, preparing for a career in technology.