# Krishna Gandra

> Software Engineer - AI automation, Big Data

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/krishnagandra

Software Engineer with extensive Hands-on experience in leading all phases of software development life cycle. 

 - My passion is to work on challenging projects.
 - Execution is what matters for a successful project, and I do execution.
 
Specialties:
 - Big Data (Hadoop, Spark, Spark Streaming, Flink, Kafka, Kinesis, AWS, Dynamo, Elastic Search,Scala,MapReduce, Hive,Flume,Storm,Kafka),Cloud computing 
 - Very strong experience in setting entire infrastructure from ground level and providing out of the box solutions.
 - Expertise on developing product with distribution and cluster for high availability, reliability, scalability and high performance
 - Very strong experience in working in startup organization with high responsibility, time management, great technical skills, innovating new ideas, and adopt new technology quickly
 - Avid adopter of open source technologies and provide efficient and effective solution

## Work Experience
### Founder, AI Automation Engineer & Architect @ Taskora (www.taskora.tech)
Jan 2024 – Present | San Francisco Bay Area
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.

### Software Engineer @ Qventus, Inc
Jan 2023 – Present | San Francisco Bay Area
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.

### Principal Software Engineer/ BigData @ Intuit
Jan 2021 – Jan 2022
- 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.

### BigData Engineer/Architect @ U.S. Bank
Jan 2020 – Jan 2021
- 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)

### Software Engineer /  Big Data Architect @ Checkr, Inc.
Jan 2019 – Jan 2020
- 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

### Principal Software Engineer/ Big Data Architect @ Asurion
Jan 2016 – Jan 2018 | San Francisco Bay Area
Architected and implemented IoT analytics platform to handle massive quantities of data by taking advantage of both batch and stream processing methods in AWS using Kinesis, Spark, Spark Streaming, Parquet, Dynamo, Athena, Elastic Search and neo4j. The system is consisting of several different components, including batch analytics, speed layer, recommendation engine, edge computing,IoT Gateway and knowledge graph.

### Principal Software Engineer @ Carrier iQ. (Acquired by ATT)
Jan 2015 – Jan 2015 | Sunnyvale,CA
•	Evaluated data formats and storage engines in Hadoop ecosystem and implemented space efficient and query performance format for IoT data.
•	Designed and implemented data warehouse solution to run interactive analytic queries.
•	Designed and Implemented near real time device data analysis POC using Storm.

### Staff Software Engineer @ GE
Jan 2014 – Jan 2014 | San Ramon
Designed and built big data analytics platform.
Designed and built massive simulation parallelization system in scalable cloud environment.

### Lead Software Engineer @ GE
Jan 2012 – Jan 2014
Implemented content management repository using Apache Jackrabbit.
Architect and Implement REST APIs for Analytic Catalog Module
Worked on various big data incubation projects.

### Sernior Software Engineer @ Verizon Wireless
Jan 2010 – Jan 2012
Designed and built integration system to communicate with external systems.
Worked on activiti bpm POC
Designed and built system for budget and forecasting.


## Education
### Masters in Computers
HBTU    http://www.hbtu.ac.in/


## Contact & Social
- LinkedIn: https://linkedin.com/in/krishnagandra

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Source: https://flows.cv/krishnagandra
JSON Resume: https://flows.cv/krishnagandra/resume.json
Last updated: 2026-04-11