United States

Data Engineering

AI/ML Engineering

Generative AI

AI Design

Master of Computer Applications - MCA

Ram Ghadiyaram

Vice President

Problem-solving

Critical-thinking

AI/ML

Cloud computing

Python

PyTorch

Apache Spark

Building Scalable Frameworks and Accelerating Bigdata Cloud AI/ML Adoption

🔧 Cloud Migration of Machine Learning Models

Migrated ML models from on-premise to AWS Cloud, ensuring scalability and reducing deployment timelines.
Created an automation framework for code template generation, enabling developers to focus on testing and business approvals.

💡 Observability Framework for PySpark Jobs

Developed an advanced observability framework using wrapt, Spark Listeners, OTel, AWS X-Ray, and EventBridge to capture:
SQL queries, statements, line numbers, execution timings, and failure reasons.
Detailed resource metrics like memory and CPU usage, enabling optimization and proactive issue resolution.

⚙ Enhanced Testing and CI/CD

Built a unit testing framework for PySpark/Apache Spark integrated with Jenkins, supporting SonarQube for code quality and vulnerability scans.
Enabled Unit, Integration, and Functional Testing as part of a robust True CD Initiative.

🚀 Centralized Migration Platform (Jade)

Created Jade, a platform enabling seamless migration of services and data lakes to the cloud while modernizing big data architectures.

📈 Performance Optimization

Resolved critical bottlenecks in data pipelines, enhancing performance and maintainability.
Ensured high-quality datasets by addressing data inconsistencies, improving overall reliability for ML training.

🎯 Business Impact

Accelerated cloud adoption and big data modernization for key stakeholders, empowering multiple LOBs to leverage AWS cloud capabilities.
Delivered actionable insights, reduced migration effort, and enabled scalable, high-performing systems.

Data Analytics & Artificial Intelligence (DAAI). using AWS Cloud - EC2 , S3, SQS ,SNS, BigData : Glue , Spark, EMR , S3 , Lambda

Good knowledge in Data Warehousing concepts (e.g. dimensional data modeling) and schema design (e.g. Star, snowflake etc.)

Parking Optimization – IOT
Parking Optimization is a smart parking solution that uses computer vision to provide you near real-time actionable insights into parking patterns. It’s a cloud based analytic application that will be able to generate analytics almost immediately to help to identify trends and spot issues before they even arise. Customer will be able to regulate, monitor the utilization of parking spaces and be able to calculate, generate revenue based on utilization. Complete end-to-end solution on a single platform, making it simple to use and create a smarter, more efficient environment. its a cloud-based solutions that integrate device and cloud capabilities to solve complex Big Data problems on AWS Hadoop stack using Spark, Scala, Hive, Presto and Cassandra.

• Data Analytics using Apache Spark, Streaming, Kafka and various other Big data technologies. 
• Created spark job pools using fair scheduler to run the jobs in parallel.
• Developed numerous spark scripts to copy data/validations of time zones/data munging. 
• Developed ETL using AWS Glue, Spark and ingest data from cross account AWS VPC into Data-lake.
• Developed monitoring tool for hive data which will give first indication of data pipe line is producing data or it was broken.
• Debug, isolate and fix system issues noticed in various environments running IOT services.
• Developed ETL several data pipeline jobs using Spark/Scala, Processed data (Transformation Validation, Aggregation )  through Spark  and populated in Hive  in various tables
• Actively participated in several performance improvements of Spark , Developed unit/Integration test cases using SCALA Test. Written messagepack/JSON streaming parsers to extract attributes.
• created Managed, External and s3 partition tables as per the requirement.
• Deployment of application in various environments, Assisting production support teams to analyze the issues they encountered.
• Designing and POC for new features and releases.

Involved in Architecture, design and development using Java /Big data technologies.
Worked on one major implementation with Deutsche Bank which is fully product-ionized.

I worked here in  HT/LT billing Systems of NDPL Power . Also I worked  different Internet/Intranet applications here.

I worked here as Software engineer/Developer in many products in material management,supply chain management.

Ram Ghadiyaram🇺🇸