Highlights:

Skills:Prompt Engineering, Human computer interaction, Intent Recognition Design, NLP/NLU Architect, AI Training, Project Management

Conversational Experience Designer 12/2022 - current
Amelia, Bangalore, KARNATAKA India
Industry: SaaS
Conversational Experience Designer
? Intent recognition Design: Generate and train unique intents to Amelia for better user intention recognition, use various NLP tests such as sentiment analysis, regression test, etc. using LangChain and Other alternative LLM frameworks to increase intent accuracy. ? AI Training: Train various type of data with different ML models for Deep Learning projects using CNN, GAN, Transformers, Encoder and decoder algorithms to test Amelia’s classification engines and natural language understanding (both corpus level and domain-specific level) ? Work Domain: Domain Expertise in BFSI, Retail, Manufacturing, Life Science, IT service desk, Hospitality, airline, AMC’s, e-commerce, streaming services. ? Design NLU and Prompt Engineering: Implementing natural language understanding (NLU) and ML algorithms in the Amelia platform to identify and refine user personas and problem statements, Few shot test, intent score mapping, generating data, chain-of-thoughts and more ? Conversational Experience Design: To adapt Amelia’s understanding and communication to the specific user needs, business context, and platform (e.g. voice vs. chat, web). Create sample dialogues, conversational flow diagrams, and prototypes to effectively communicate voice and text interactions and design ideas ? Post Live Review: Quantitative and qualitative insights from UAT testing and set up subsequent design sprints for continuous monitoring of containment rate, new intent mapping, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.--
Conversation Designer 09/2021 - 11/2022
Skit.ai, Bangalore, KARNATAKA India
Industry: SaaS
Designing the framework: Create and define concept and execution, articulating end-to-end experience, and help drive that vision into solid design deliverable’s
? User Research: Create unique Bot Persona and human like conversational elements to suit the user’s temperament and conversation style after analysing previous call records, use-case planning and test case generation. ? Back-end Process: Build the bot with various Indian linguistic variations of expected user Intents to optimize bot intelligence, call tagging, updating API’s and generating YAML codes and Project documentation. ? Interface designing for the Voice agent: Led system personality efforts to anchor voice bot consistency, voice, tone, cognitive load, pragmatics, prosody, speech and language technologies (e.g.ASR, NLU, TTS) ? Post-live review analysis: Optimizing intents through A/B testing, usability, and QA testing to make design recommendations, analyze performance metrics, like NLU accuracy, Unique leads, transferred leads, total calls dialed, KPI and OKR’s to constantly match the revenue goals. ? Result Efficiency: In a year, my bots have answered 42,000+ customer calls, generated 20,000+ unique leads, increased 20% customer conversion and reduced 80% calling efforts of the human agents.--

Christ University 06/2017 - 06/2021
Bangalore, KARNATAKA, India
Degree: Bachelor's Degree
Major:Hospitality Management
Minor:Marketing
CGPA: 9/10

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