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Experience: 5+ years designing, developing, and implementing intelligent conversational interfaces for diverse applications and industries.
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Methodologies: Experienced with Agile and Waterfall software development practices.
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Specialization:
- Master of Science in Information Systems (Data Science specialization) from University of Maryland, Baltimore County
- Bachelor of Engineering in Computer Engineering from Savitribai Phule Pune University, Pune - MH
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Core Proficiencies:
- Programming in Python and JavaScript
- Skilled in Dialogflow CX/ES, Kore.ai, and OPENAI API for creating intuitive voice user interfaces and NLP solutions
Programming Languages
Visualization
Conversational AI & VUI
NLP Libraries
Deep Learning Frameworks
- Objective: Handling tasks from balance inquiries and payments to itemized bill and medical‑record requests without live‑agent handoffs.
- Technologies: Dialogflow CX, Genesys CX
- Impact:By deploying a bilingual, cloud‑native Dialogflow Virtual Agent on Genesys CX with us‑central1/us‑east1 redundancy, we automate billing and records self‑service to deflect 20–40% of calls, cut contact‑center costs by ~85%, deliver 24/7 high availability, and generate analytics for continuous optimization and future scalability.
- Objective: Streamline the password reset process for employees using an IVR system, improving security and efficiency.
- Technologies: Dialogflow CX, Google Telephony
- Impact: Reduced manual IT support workload, provided 24/7 password reset option, and enhanced operational efficiency and security compliance.
- Objective: Automate caregiver visit verifications to ensure compliance with care schedules, using a bot for shift details collection via calls and SMS in multiple languages.
- Technologies: Voximplant, Telnyx
- Impact: Ensured accurate real-time tracking of caregiver visits, improved compliance, enhanced care quality, and streamlined reporting.
- Objective: Analyze large datasets with generative AI models, identifying patterns and insights to inform business strategy.
- Technologies: OpenAI Models, Flask, Python
- Impact: Provided deep data insights, enabling data-driven decision-making, improving operational efficiencies, and offering competitive advantages.
- Objective: Enhance customer service with a GPT-4 powered chatbot capable of natural conversations.
- Technologies: OpenAI GPT-4, Flask, Python
- Impact: Improved customer satisfaction by reducing response times and increasing support quality, optimizing service efficiency.
- Objective: Automate KPI reporting for projects, enhancing visibility of performance and outcomes.
- Technologies: Data processing scripts, Visualization tools
- Impact: Streamlined project performance monitoring and reporting for IVR and chatbots, enabling real-time informed decision-making and strategy adjustments.
- HCA Healthcare
- Parallon
- Cerecore
- Cognizant
- Verizon
- University of Maryland Medical Systems
- Devoted Guardians
- Prince George's Community College
- Elara Caring
Google Cloud Certification – Professional Data Engineer
Azure AI-102 – Designing and Implementing a Microsoft Azure AI Solution
- Instagram: salvi_rohan_
If you’re interested in grabbing coffee ☕️ and talking shop (or hearing how I made a fog screen display with touch), please send an email my way.