Sirish Gottumukkala

With over 18 years of experience in both product-driven and service-based projects, have a proven track record in quality assurance and management. My expertise includes overseeing the quality of technology-driven and business-oriented products. Have extensive experience with products developed using cutting-edge technologies such as Docker, Kafka, Spark, Vitess, MySQL, ETL processes, and Machine Learning models. Additionally, have significant experience in employee monitoring, performance improvement products, and projects in the retail sector. As a QA Manager, I excel in ensuring the highest standards of quality and performance across all projects.

• Certified in Teradata Foundation Level – V2R5 on April 2009
• Certified in International Software Testing Qualifications Board (ISTQB) on Dec 2007
  

***GetOLi***

GetOLi is an AI-powered platform offering solutions in operational excellence, security, employee engagement, and process mining through automation and advanced data analytics.

Key Features

• Operational Excellence: Integrated time tracking and technology usage monitoring to boost productivity and streamline operations.
• Employee Engagement: Designed gamification, wellness and motivational modules to drive motivation, engagement, and performance improvement.
• Process Mining: Enabled process optimization through data mining and automation identification, driving business efficiency
• Computer Vision: Implemented automated screen capture and data extraction for process insights and workflow optimization
• Security Vulnerability: Developed real-time application/URL monitoring and compliance features to enhance organizational cybersecurity
• Data Analytics: Utilized OLi Analyzer to create custom dashboards for real-time operational insights and data-driven decision-making

Outcomes: Improved operational efficiency, increased employee engagement and enhanced security across client organizations.

Technology: Data Collection: OLi Agent (Kafka) | Data Processing: Spark, ETL | Vision Screenshots: HTTPS | Storage: Vitess, MySQL, HSQLDB | Analytics: Inbuilt Dashboards | Infrastructure: Azure | Deployment: Docker

***AskOLi***

AskOLi is an Gen AI-powered chatbot designed to enhance workplace efficiency by providing instant answers and streamlining workflows.

Key Features

• AI Model Training: Enabled users to upload content, train the AI on business-specific data, and deploy customized solutions.
• Task Summarization: Implemented AI capabilities to break down complex procedures into actionable steps, improving task clarity and reducing errors.
• Contextual Responses: Developed features for personalized, context-based responses, improving relevance and accuracy in communication.
• · Gap Analysis: Integrated mechanisms to identify knowledge gaps and offer suggestions for improving organizational knowledge bases.

Outcomes: Streamlined employee workflows, reduced response times, and increased productivity through improved task guidance and contextualized support.

Technology: Org Document Storage: OneDrive, Google Drive | GenAI: ChatGPT Plugin |Storage: Vitess, MySQL | Infrastructure: Azure  | Deployment: Docker

***Dataken Big Data Platform***

Dataken’s Big Data platform is designed to handle large-scale data processing and real-time analytics using Apache Spark, Hadoop, HBase, and Kafka.

Key Features

• Scalable Distributed Architecture: Leveraged Hadoop for horizontal scalability and fault tolerance, enabling efficient handling of massive datasets.
• Real-Time & Batch Processing: Integrated Apache Spark for in-memory real-time analytics and Kafka for real-time data streaming alongside batch processing capabilities with Hadoop.
• Machine Learning & Advanced Analytics: Enabled large-scale execution of machine learning models and advanced analytics using Spark’s powerful processing capabilities.
• SQL Querying: Platform Integrated with MySQL querying of big datasets to enable business intelligence and real-time reporting.

Outcomes: Delivered high-throughput, low-latency data pipelines for enterprises, empowering real-time decision-making, predictive analytics, and improved operational efficiency across sectors like fraud detection and financial reporting.

Technology: Data Collection: Kafka, Hadoop | Data Processing: Spark, ETL |AI: MLs supported by Spark | Storage: Vitess, MySQL | Analytics: Inbuilt Visualization | Infrastructure: Azure | Deployment: Docker