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Kalyani Vedpathak

Kalyani Vedpathak

Computer Engineer

Talent
PuneMember since September 30, 2026
PythonMachine LearningNLPVertex AIGenesysCommunicationGoogle Cloud PlatformWebhooksLLMPower BITableauExcelSQL
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PythonMachine LearningNLPVertex AIGenesys

About

Designed and developed voice bots and virtual assistants using Dialogflow CX, automating 30-40% of IT support queries. Built multi-language conversational flows (12+ languages) using developer kits, improving global accessibility and increasing user adoption by 35%. Integrated conversational workflows with Genesys Cloud, enabling end-to-end voice call handling and reducing manual agent dependency by 25%.

Experience

Associate Consultant - ATOS - Navi Mumbai, India

(2025-03)

  • Designed and developed voice bots and virtual assistants using Dialogflow CX, automating 30-40% of IT support queries.
  • Built multi-language conversational flows (12+ languages) using developer kits, improving global accessibility and increasing user adoption by 35%.
  • Integrated conversational workflows with Genesys Cloud, enabling end-to-end voice call handling and reducing manual agent dependency by 25%.
  • Developed and optimized flows for incident creation and ticket management, integrating with ServiceNow, improving ticket logging efficiency by 35%.
  • Implemented webhooks and integrations with REST API, enabling real-time backend communication and reducing response latency by 20-25%.
  • Built automation-driven remote action (auto-fixer) use cases, achieving 20-30% faster issue resolution by triggering fixes based on user device details (OS, browser, device type, authentication).
  • Enabled auto-detection of the user environment, improving response accuracy and personalization by 25%.
  • Contributed to LLM-based enhancements and prompt optimization, improving fallback handling and response relevance by 15-20%.
  • Enhanced NLU/NLP performance, increasing intent recognition accuracy by 20% through improved training data and flow design.
  • Created test scripts and multilingual validation scenarios, reducing production issues by 30%.
  • Continuously optimized conversational flows, improving the containment rate by 25% and reducing the average handling time (AHT) by 20%.

Data Science Intern - ETLHive - Navi Mumbai, India

(2023-12 - 2024-06)

  • Developed proficiency in Python, SQL, Power BI, Tableau, and Excel for data analysis and visualization.
  • Led a data optimization initiative that reduced the pre-processing time by 50%, increased the accuracy of the model by 20%, and significantly improved the reliability of data-driven insights across multiple projects.
  • Employed diverse algorithms to clean and process data, achieving 97% model accuracy through regularization.
  • Worked on various NLP tasks, including text normalization, sentiment analysis, and topic modeling.

Dialogue Designer - Quantiphi - Bangalore, India

(2021-11 - 2023-11)

  • Orchestrated the implementation of 9+ custom conversation flows using draw.io, optimizing chat and telephonic interactions to meet client demands; resulting in a 25% increase in customer satisfaction and a 20% decrease in response time.
  • Curated bots on Dialog-flow CX, resulting in a 55% decrease in support response time and a 20% increase in satisfaction.
  • Integrated Vertex AI Search and Conversation with Dialog-flow CX, enhancing performance for 2 bots and boosting accuracy.
  • Crafted data labeling strategies and curated intent taxonomies for 10+ domains, optimizing conversational flow accuracy for bots.
  • Created intents, entities, contexts, and other necessary components for robust conversational experiences.
  • Ensured the conversational AI could handle multiple scenarios and edge cases effectively.
  • Integrated DialogFlow CX with various platforms, such as CRM systems, messaging apps, and websites.
  • Conducted thorough testing of conversational agents to identify and fix issues.
  • Monitored performance metrics and user feedback to continuously optimize and improve AI solutions.
  • Implemented A/B testing and other optimization strategies to enhance user experience.
  • Developed multilingual conversational flows for bots in 2 domains, ensuring seamless communication globally.
  • Fine-tuned prompts in Vertex AI Studio for Q&A generation in conversational bots across 2 domains, optimizing user engagement.

Education

MBA - Analytics and Data Science - Manipal University, Distance Learning (2023-07 - 2026-03)

Bachelor's of Technology - Computer Engineering - Mumbai University (2017-06 - 2021-06)

Skills

Computer Engineer

Reviews

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