Abhishek Pattanaik

Engineering Manager with 14+ years of experience in designing and building distributed systems and scalable architectures. Proven expertise in microservices, cloud-native applications, and data-intensive systems. Passionate about leading teams in full-cycle software development, from architecture to deployment, ensuring high availability, performance, and scalability. Skilled in Big Data, ML Ops, Cloud Computing (AWS, Azure, GCP), and real-time data processing frameworks (Kafka, Spark).

• Certified Kubernetes Administrator
• AWS Certified Solution Architect - Associate
• AWS Certified Data Engineering - Associate

• Gave tech talk to opentext employee on the MLOps steps and how we can productionize the ML model end 2 end.
• Filed 2 patents for unique features for Model Management(20240330763,20240330764).
• POC on LLM fine tuning and deploying in GKE using ollama.

• Building new engine for credit line increase and different payment option.
• MDD-VerticaGateway, Complete data analysis solution on top of vertica database.
• Magellan Risk Guard and cloud migration, Classifying the documents using the out of box models. Moving the MRG to OCP platform.
• Magellan Machine Learning Model Management, A new complete toolset for ML Operations and data science workbench. Provides capability to manage (activate, deactivate) and monitor (performance) scalable machine learning models in Kubernetes as those REST API services.
• Magellan Notebook, Provides Jupyter based data science workbench enabling data scientists create Machine learning model and publish the model which can be applied by the business analysts
• Magellan Data Discovery based on Big Data technologies, provides a tool enabling the business analyst to explore, analyze, manipulate the Big data in Data Lake and finally apply the ML model. Supports various big data distributions like HDP, MapR, cloudera, CDP,Azure HDInsight, AWS EMR.
• Infosphere Information Server, IBM InfoSphere Information Server is a market-leading data integration platform which includes a family of products that enable you to understand, cleanse, monitor, transform, and deliver data.
• Banking Domain (STAR), Provides the complete solution for membership rewards solution for Amex which helps in partner settlement (pay with points and different reward programs).

• Playing Football
• Reading Technical Journals

• Drove architectural decisions for large-scale data processing systems, integrating distributed computing frameworks like Spark, Kafka, and Kubernetes.
• Mentored and coached engineering teams on best practices for distributed systems design, DevOps automation, and cloud-native development.
• Designed fault-tolerant, resilient data ingestion pipelines using Apache Kafka with exactly-once processing semantics.
• Led performance tuning initiatives, improving API response times and Spark job execution efficiency by 60%.