As an experienced software development leader, I founded Taskora.tech, a cutting-edge platform designed to automate tasks using intelligent AI agent chains.

Combined expertise in AI automation, full-stack development, and system architecture to build Taskora, leveraging LangChain, vectorDB, and a custom agentic framework for intelligent automation workflows.

Architected and developed the platform on AWS, ensuring high availability, security, and seamless scalability to handle complex automation tasks with minimal human intervention.

Spearheaded the complete development lifecycle, from ideation to deployment, creating AI-powered solutions that optimize business processes and increase operational efficiency.

Set up real-time data replication from mySQL databases to Snowflake, enabling seamless data integration for analytics and data science.

Identified and resolved migration issues, optimizing performance and ensuring successful data transfer.

Architected a robust alerting platform using Snowflake to monitor data streams and identify anomalies in real-time.

Automated alert notifications via email, SMS, and third-party communication tools using Snowflake's external functions and API integrations.

Design and Implement in-house platform modifications to integrate with Rhapsody.

• Real-time data processing platform to run data pipelines on spark, flink, or any other configurable runtime.

• SDK for platform to provide connectivity to source and sink like kafka, dynamo and s3

• self serve capability to create any pub-sub cluster with configurable number of brokers and size.

• Build configurable big data processing engine to process DB2 CDC data using spark streaming, scala, kafka (consulting for bank)

• Build analytics engine on presto to process data from hdfs, s3, and various other data sources (consulting for bank)

• Data platform to process data from MongoDB other sources using Airflow, presto to store it in s3.

• Realtime data ingestion using Airflow, dbt to store it in Snowflake for analytics