Vikas Srivastava

•Proven expertise in developing, fine-tuning, and deploying Large Language Models (LLMs) for various applications, leveraging state-of-the-art architectures and optimization techniques. •Extensive hands-on experience in Generative AI and ML, leading end-to-end AI projects, including model training, inference, and integration into production systems. •Responsible for producing overall solution architecture design documents, managing changes to the overall technical solution, and designing solutions, Spark optimizations based on customer needs •Consulting for fortune 500 companies includes largest banks in Singapore/India, Gov Agencies, Tech, E-COM Companies •Architected secure Data Lakes, Mesh & Fabric on hybrid and public clouds (AWS, Azure, CDP). •Involve in PoC, Planning and strategic Design of Big-data platforms. •Collaborate with business, product R&D, and delivery teams to advance benchmark customers. •Implement end to end security solutions for customers. •Performance tuning, HealthCheck, and Monitoring along with the best practice of Big-data clusters.

•Involved with Solution Architect to build EDMP (Enterprise data management platform) Using HDP 2.4. •Requirement gathering and providing End to end solutions. •Design of platforms involve multi-tier architecture with different technology stacks. •Involved in all phases of the SDLC including analysis, design, development, testing, and deployment of Hadoop cluster. •Implementation of Applications on Big Data System (HDP2). •Create / design the schema on hive and HBase according to requirement.

•Handling a Team of 6 members, responsible for building the Best Data warehouse. •Providing End to End solution of Big-data Problems, real-time as well as Batch processing. •Involved in all phases of the SDLC including analysis, design, development, and deployment of the Hadoop cluster. •Develop Automation Scripts and design data processing flow.

•Extensive Experience is handling more 20 Cluster, cluster size between 600-800 Nodes. •Implementing Hortonworks distribution on all the clusters. •Installed and configured Hadoop MapReduce, HDFS, Developed multiple MapReduce jobs in java for data cleaning and preprocessing.

The Hive tables created as per requirement were internal or external tables Developed Map Reduce jobs in java for data cleansing and preprocessing Develop testing scripts in Python and prepare test procedures, analyze test results data and suggest improvements of the system and software

Professional Member

Singapore Computer Society

CDP Generalist

Cloudera

Automated Infrastructure on GCP with Terraform

Qwiklabs

AZ-104: Microsoft Azure Administrator

Microsoft Azure

Modern Data Architecture

Cloudera Inc

Cloudera Data Platform: Security

Cloudera Inc

AZ-305 Azure Solutions Architect Expert

Microsoft Azure

Cloud Architecture: Design, Implement, and Manage

Qwiklabs

GCP Associate Cloud Engineer

Google Cloud

AWS Solutions Architect Associate

Amazon Web Services