- Led, designed and developed a scalable AI-Powered Information Retrieval solution utilizing LLMs and Generative AI,enabling efficient retrieval of information from 1000s of PDF documents.

- Set up a new Cloud Professional Services department from scratch.- Helped my Company become an AWS Partner and Amazon API Gateway Partner.- Designed a Framework that exports data of multiple clients based on different schedules, and emails them a link totheir data.- Led the first client project from start to end.- Optimized prod DB performance and reduced Replica lag of RDS from 500 seconds to ~3 seconds.- Trained a team of 10 resources on AWS and Data Analytics.- Received Training from AWS Solutions Architect on Sales, Customer engagements, First Calls, ChangeManagement and Cloud Migration Journey.- Built a Text Extraction Automation Solution with over 95% accuracy using Amazon Textract.- Performed Technical Jam Sessions with Customers in order to upskill them on AWS technologies.

- Worked on various Data Migration, Data-Lake, ETL and Lift and Shift projects.- Automated the Migration of 100s of Machines from on premises to AWS environment using CloudEndure, with tight RPOs (< 10 Minutes) and RTOs (< 4 Hours). Generating revenue for the whole month for my company (~200,000$).- Saved 160 Dev hours by automating the creation of SQL scripts.- Participated in making my organization the first AWS Premier Partner of Pakistan.- Designed the Architecture for cross account RDS Encryption that supports BYOK Clients.- Developed a Migration Framework that Submits Migration Jobs on AWS Batch and Maintains the state of Jobs, and Orchestrated Migration of MarkLogic to S3.- Developed Auditing of migration jobs using Python and Database for maintaining state of jobs.- Enhanced Audit Logging for Aurora PostgreSQL- Upgraded RDS and Aurora Databases (both major and minor version upgrades).- Exported the Data from Snowflake Data Warehouse to RDS Aurora.- Automated the Ingestion of S3 Reports into Snowflake using SnowPipe.

- Automated the Partitioning of Tables with more than 6 TB (7 billion Rows) of Data.- Reduced the time required to partition by nearly 30 times. Saving more than 30,000$ in dev hours.- Worked on Pipeline that migrated more than 16 TB Data from Oracle to Aurora PostgreSQL.- Reduced technical debt, which improved the development cycle by 3 times, saving ~500 Dev hours.- Experienced in Database monitoring using Logs and Metrics and system level tables.- Worked on Data Pipelines to ingest data from different sources to the target system.- Extensive experience of using Python on AWS Lambda (Serverless).- Extensive experience of event driven orchestration and orchestration using AWS Step Functions.- Developed CICD Pipelines using CodePipeline and CodeBuild and CloudFormation.