KD

K. Suhani Das

QAE
Email
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Phone
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Location
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Professional Overview


K. Suhani Das is currently employed at SuperAGI, a Bengaluru-based company specializing in AI-driven customer relationship management and go-to-market (GTM) technology platforms. Their professional designation relates to quality assurance with a focus on software testing, encompassing both manual and automation testing methodologies.

Company Context: SuperAGI


SuperAGI offers an advanced all-in-one AI-native CRM platform designed to unify sales, marketing, customer support, and customer success under a single, AI-powered ecosystem. Key features include:

  • AI Outbound and Inbound SDRs

  • AI journey orchestration and segmentation

  • AI Dialers and meetings integration

  • Revenue analytics and signals monitoring

  • Customer data platform integration

  • Omnichannel marketing and live chat support

  • Embedded AI agents that automate sales, marketing, and support workflows

  • Continuous learning through reinforcement mechanisms improving AI accuracy and personalization


The platform is positioned as a replacement for over 11 GTM tools, improving operational efficiency, pipeline quality, and customer engagement. Reported customer impact metrics include:

  • 70% cost savings

  • 4x revenue growth

  • 30% increase in average contract value (ACV)

  • 2x increase in marketing qualified leads (MQLs)

  • 30% reduction in churn

  • 80% increase in conversion rates

  • 20% increase in win rate

  • Significant time savings for sales representatives (18 hours weekly per rep)


Role Focus and Skills


K. Suhani Das' role comprises Quality Assurance engineering with demonstrated proficiency in:

  • Manual testing and automation testing, including framework development

  • Writing test cases and executing both functional and non-functional tests

  • Experience with key automation tools and methodologies (LinkedIn profile references expertise gained during training at QSpiders and other notable institutes)

  • Core skills encompass Java-based test automation, Selenium testing frameworks, TestNG/JUnit annotations, Page Object Model (POM), API testing, and handling Selenium-specific challenges such as dynamic elements, alerts, and synchronization issues

  • Knowledge of advanced QA testing concepts including regression, sanity, smoke testing, defect life cycle, and automation best practices


Educationally, Suhani has undergone formal training in software testing methodologies and practices relevant to quality engineering and automation.

Geographic and Network Profile


  • Based in Brahmapur, Odisha, India

  • Holds a professional network with over 500+ LinkedIn connections and 534 followers, indicating active engagement within the tech and QA community


Professional Development and Activity


  • Maintains active LinkedIn engagement by sharing insights on QA strategies, interview preparation, automation challenges, and industry best practices.

  • Recognized for the "1st work anniversary" award, highlighting a positive performance trajectory at SuperAGI.

  • Continuing education includes pursuit of a Master’s degree in Data and Computational Science at University College Dublin, signifying a commitment to expanding data science and analytical competencies relevant to AI-driven platforms like SuperAGI.


Relevant Achievements for Commercial Engagement


  • Working within an enterprise that reports substantial revenue growth and client ROI improvements via AI-native CRM solutions.

  • Exposure to cutting-edge AI GTM tools positions Suhani as a key quality validator within a fast-growing SaaS platform serving sales and marketing functions.

  • Ongoing involvement in evolving AI capabilities through reinforcement learning underscores a dynamic tech environment.





This profile presents K. Suhani Das as a QA professional embedded within a high-growth AI SaaS company focused on transforming sales and marketing execution via AI. Her technical skills in automation testing and quality assurance, coupled with ongoing data science education, enhance her ability to contribute to a technologically advanced, AI-driven product development lifecycle.
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