Anandu S.

🚀 ABOUT ME I’m passionate about building intelligent, scalable systems that turn data into real-world impact. With 5+ years of experience across AI/ML, Data Engineering, Backend, and Full Stack Engineering, I thrive at the intersection of technology and business value. 💡 WHAT I DO AI/ML & Data Science: Deploying machine learning models and analytics pipelines to unlock actionable insights. Backend & Cloud Engineering: Architecting robust, high-performance systems on AWS, GCP, and Azure. Full Stack Solutions: Delivering end-to-end platforms that blend backend power with seamless user experiences. Real-Time Streaming: Building data pipelines with Kafka, Spark, and Flink for low-latency analytics. Data Security & Governance: Ensuring compliance and secure data flows across multi-cloud environments. 🌟 IMPACT HIGHLIGHTS Reduced data latency by 50% with optimized streaming architectures. Developed AI-powered observability tools, cutting manual analysis by 35%. Saved $150K/year by optimizing cloud ETL pipelines processing 80M+ records/day. Designed GDPR-compliant governance models for secure, scalable data management. 🛠️ Tech Stack Programming Languages: Python | Java | Scala | SQL | Go | JavaScript (Node.js, React) Data & AI/ML: TensorFlow | PyTorch | Scikit-learn | Pandas | LangChain | GPT-4 | Neo4j Big Data & Streaming: Apache Spark | Apache Flink | Apache Kafka | Hive | Delta Lake | Hadoop Cloud & Infrastructure: AWS (S3, Lambda, EMR, EC2) | GCP | Azure | Databricks | Snowflake | Redshift | DynamoDB | MongoDB | Redis DevOps & Orchestration: Docker | Kubernetes | Airflow | Jenkins | CI/CD | Step Functions | Git Analytics & Monitoring: Tableau | Power BI | Grafana | AWS CloudWatch | Splunk 🤝 LET’S CONNECT Always exploring new tech and open to collaboration. 📩 [email protected] 🔹 Disclaimer: Opinions expressed are solely my own and do not reflect the views of my employer.