➡Dedicated Conversational AI Developer with over 4+ years of hands-on experience in designing, developing, and implementing intelligent conversational interfaces for diverse applications and industries. 👨🏻‍💻

• 👨‍💻 Proficient in Python and JavaScript, experienced with Agile and Waterfall methodologies.
• 🤖 Skilled in Dialogflow CX/ES, Kore.ai , and OPENAI API for creating intuitive voice user interfaces and NLP solutions.
• 🎓 Master of Science in Information Systems (Specialization in Data Science) from University of Maryland, Baltimore County.
• 🎓 Bachelor of Engineering in Computer Engineering from Savitribai Phule Pune University, Pune - MH.

Programming Languages: Python, JavaScript
Visualizations tools: Matplotlib, Zoho Analytics, Power BI
Conversational AI & VUI: Dialogflow CX/ES, ChatGPT API, Kore.ai, Nuance Mix, Amazon Lex
NLP Libraries: NLTK, spaCy, OPENAI, BERT, Hugging Face's Transformers
Deep Learning Frameworks: TensorFlow, PyTorch

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, providing a 24/7 password reset option and enhancing 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 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.

University of Maryland Medical Systems

Devoted Guardians

Prince George's Community College

Elara Caring

Google Cloud Certification - Professional Data Engineer

Azure Certification AI-102 - Designing and Implementing a Microsoft Azure AI Solution