I am a software professional with expertise in designing scalable systems and data solutions. I’ve developed fault-tolerant data pipelines using Apache Kafka, processing over 1M events/hour with <10ms latency, and optimized workflows to handle 1TB+ datasets using Pandas and NumPy. My experience includes building machine learning models for anomaly detection, creating high-performance RESTful APIs with Flask, and designing hybrid storage solutions with PostgreSQL and TimescaleDB for 10TB+ datasets. Leveraging AWS for scalability and the ELK stack for monitoring, I ensure high system performance while driving innovation through CI/CD pipelines, testing, and collaborative development practices.

Software professional specializing in developing scalable, high-performance healthcare solutions. I’ve built systems like a patient risk assessment platform using Python and TensorFlow, improving early diagnosis accuracy by 28% with custom ensemble models. I architected microservices with Flask and RabbitMQ, reducing response times by 40%, and developed NLP pipelines with NLTK, spaCy, and BERT for extracting medical insights from clinical notes. I excel in designing high-performance RESTful APIs, optimizing PostgreSQL databases, and deploying containerized applications via Kubernetes and Docker. Passionate about innovation, I deliver secure, efficient, and compliant solutions that drive advancements in healthcare technology.