Shravana P

About Shravana P

I am an AI Developer & Data Scientist with over 11+ years of experience in delivering end-to-end AI and data-driven solutions across finance, telecom, and enterprise domains. My expertise spans Machine Learning, Deep Learning, Generative AI, NLP, and LLMs, combined with a strong foundation in Big Data technologies and Cloud AI platforms (AWS, GCP, Azure).Over the years, I have designed, developed, and deployed scalable AI/ML pipelines and intelligent applications — from fraud analytics and alternative credit scoring to customer churn prevention, predictive maintenance, and conversational AI systems. I specialize in leveraging state-of-the-art tools such as Transformers, GPT, Hugging Face, PyTorch, and TensorFlow, alongside big data ecosystems (Spark, Hadoop, Kafka) to solve complex business problems.In addition, I bring strong experience in MLOps and deployment practices — including Docker, Kubernetes, Airflow, MLflow, and CI/CD pipelines — ensuring that AI solutions are production-ready, explainable, and continuously optimized. I have also developed Generative AI and RAG-based applications, integrating LangChain, FAISS, and Pinecone for enterprise-ready AI solutions.What drives me is turning data into intelligence and intelligence into impact. I thrive in cross-functional collaborations, aligning AI initiatives with business goals, and delivering measurable outcomes — whether it’s improving efficiency, reducing costs, or enhancing customer experience.I am continuously exploring multimodal AI, AI ethics, and optimization techniques, with a vision to shape the future of responsible AI adoption in real-world enterprises.

Experience

1. Data Scientist Ai Ml Backend Engineer

   American Express

   Jul 2023 — Present · NY, US

   Designed and developed a Forms Recommendation Engine with accuracy, leveraging supervised and unsupervised ML models with automated hyperparameter tuning (Grid/Random Search, k-fold sampling).Productionized ML pipelines on Google Cloud (Cloud Composer, BigQuery, GCP Buckets) for automated data extraction, cleaning, training, and model updates.Built and deployed LLM-powered applications (document summarization, chatbots, data synthesis, image & video augmentation) using Hugging Face, GPT, and Vertex AI.Led GenAI initiatives, optimizing and fine-tuning LLMs for performance, efficiency, and accuracy. Delivered customer-facing summarization modules, scaling them with async and parallel processing.Architected and managed AWS cloud security & IoT workloads (IoT Core, Device Management, Analytics, Greengrass, Lambda, Athena, Glue, S3, EC2, EKS). Migrated multi-source data to AWS S3 and automated ETL, improving efficiency with Tableau/Athena integration.Built intelligent supply chain systems using NLP, Time Series ML, and voice search integration, enhancing search flexibility and decision-making.Implemented hyperparameter tuning & AutoML on Vertex AI, improving ML model robustness and predictive accuracy.Designed and monitored AI/ML pipelines with real-time dashboards (Splunk, Grafana, Kibana) for performance evaluation.Developed and exposed Flask APIs for enterprise integration, ensuring scalable and secure access to AI services.Used Python, Spark, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch to develop ML/DL models, improving retention and prediction accuracy with bagging/boosting.Mentored cross-functional teams, conducted training on GPT/GenAI adoption, and provided advanced technical support for production AI solutions.

Education

• Jawaharlal Nehru Technological University Hyderabad (JNTUH)

  Computer Science