➡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
