Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a results-driven AI/ML Engineer with 4 years of experience building scalable AI and conversational systems, specializing in NLP and large language models such as GPT-4. I design and deploy cloud-based solutions on AWS and GCP, optimize models with PyTorch and TensorFlow, and integrate vector databases with retrieval-augmented generation (RAG) for smarter interactions. I hold Google Cloud and AWS ML Specialty certifications and thrive in Agile environments, using data-driven decision making to drive outcomes. I collaborate with cross-functional teams to deliver impactful AI solutions and continuously iterate with prompt engineering, A/B testing, and CI/CD pipelines.…I am a results-driven AI/ML Engineer with 4 years of experience building scalable AI and conversational systems, specializing in NLP and large language models such as GPT-4. I design and deploy cloud-based solutions on AWS and GCP, optimize models with PyTorch and TensorFlow, and integrate vector databases with retrieval-augmented generation (RAG) for smarter interactions. I hold Google Cloud and AWS ML Specialty certifications and thrive in Agile environments, using data-driven decision making to drive outcomes. I collaborate with cross-functional teams to deliver impactful AI solutions and continuously iterate with prompt engineering, A/B testing, and CI/CD pipelines.

Jaya Krishna

AI Engineer, Data Scientist, Full Stack Developer, +2





I am a results-driven AI/ML Engineer with 4 years of experience building scalable AI and conversational systems, specializing in NLP and large language models such as GPT-4. I design and deploy cloud-based solutions on AWS and GCP, optimize models with PyTorch and TensorFlow, and integrate vector databases with retrieval-augmented generation (RAG) for smarter interactions. I hold Google Cloud and AWS ML Specialty certifications and thrive in Agile environments, using data-driven decision making to drive outcomes. I collaborate with cross-functional teams to deliver impactful AI solutions and continuously iterate with prompt engineering, A/B testing, and CI/CD pipelines.…I am a results-driven AI/ML Engineer with 4 years of experience building scalable AI and conversational systems, specializing in NLP and large language models such as GPT-4. I design and deploy cloud-based solutions on AWS and GCP, optimize models with PyTorch and TensorFlow, and integrate vector databases with retrieval-augmented generation (RAG) for smarter interactions. I hold Google Cloud and AWS ML Specialty certifications and thrive in Agile environments, using data-driven decision making to drive outcomes. I collaborate with cross-functional teams to deliver impactful AI solutions and continuously iterate with prompt engineering, A/B testing, and CI/CD pipelines.

Available to hire

I am a results-driven AI/ML Engineer with 4 years of experience building scalable AI and conversational systems, specializing in NLP and large language models such as GPT-4. I design and deploy cloud-based solutions on AWS and GCP, optimize models with PyTorch and TensorFlow, and integrate vector databases with retrieval-augmented generation (RAG) for smarter interactions.

I hold Google Cloud and AWS ML Specialty certifications and thrive in Agile environments, using data-driven decision making to drive outcomes. I collaborate with cross-functional teams to deliver impactful AI solutions and continuously iterate with prompt engineering, A/B testing, and CI/CD pipelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer I at JP Morgan

October 1, 2024 - Present

Led a team in designing and optimizing AI-powered chatbots, improving customer query resolution efficiency by 40% through NLP techniques including GPT-4, Dialogflow CX, and Kore.ai, with iterative prompt engineering. Managed end-to-end development of a scalable, cloud-based conversational AI system on GCP (Vertex AI, Cloud Functions) handling over 100,000 daily conversations with 99.9% uptime. Implemented real-time analytics with Power BI and Kore.ai reporting tools, enabling data-driven decisions that boosted user engagement by 40% and reduced drop-off rates by 15%. Designed conversational flows (intents, entities, dialogues) in Kore.ai to enhance UX and achieve 20% higher engagement with ChatGPT-generated outbound campaigns. Deployed chatbots across web, mobile, and messaging platforms via REST APIs and OAuth 2.0 authentication. Pioneered Retrieval-Augmented Generation (RAG) using LangChain, Pinecone, and GPT-4 to improve chatbot accuracy and reduce manual intervention by 30%. Conduc

AI Engineer at JP Morgan

October 1, 2024 - Present

Led a cross-functional team to design and optimize AI-powered chatbots, improving customer query resolution efficiency by 40% using GPT-4, Dialogflow CX, and Kore.ai with iterative prompt engineering. Managed end-to-end development of a scalable, cloud-based conversational AI system on GCP (Vertex AI, Cloud Functions), handling 100,000+ daily conversations with 99.9% uptime. Implemented real-time analytics using Power BI and Kore.ai reporting tools to drive data-driven decisions, boosting user engagement by 40% and reducing drop-off by 15%. Architected conversational flows (intents, entities, dialogues) in Kore.ai to enhance UX and increase outbound engagement by 20% for ChatGPT-generated campaigns. Deployed chatbots across web, mobile, and messaging platforms via REST APIs and OAuth 2.0. Pioneered Retrieval-Augmented Generation (RAG) using LangChain, Pinecone, and GPT-4 to improve accuracy and reduce manual intervention by 30%. Conducted A/B testing and QA; used LangSmith for token-le

ML Engineer at WebCode IT

July 1, 2023 - October 13, 2025

Led data analysis in Agile environments and developed/deployed conversational AI solutions using Dialogflow, Rasa, and APIs. Designed and implemented intelligent voice user interfaces (VUI) for web and mobile platforms, ensuring smooth integration and enhanced user experience. Applied NLP libraries (spaCy, NLTK) for preprocessing, sentiment analysis, NER, and intent classification. Trained and optimized deep learning models for speech recognition and synthesis with TensorFlow and PyTorch, achieving accuracy rates exceeding 90%. Integrated Google Speech-to-Text and Text-to-Speech APIs for real-time speech conversion, reducing response time by 30%. Managed databases (Firebase, Grafana, SQL) to improve query performance and data integrity. Enhanced speech recognition accuracy by 15% through fine-tuning TensorFlow models and developed interactive data visualizations using Matplotlib, Zoho Analytics, and Power BI.

ML Engineer at WebCode IT

July 1, 2023 - October 3, 2025

Led data analysis in Agile/Scrum environments and developed/deployed conversational AI solutions (Dialogflow, Rasa, APIs) aligned with client requirements. Designed and implemented intelligent voice user interfaces (VUI) for web/mobile platforms. Applied NLP tools (spaCy, NLTK) for sentiment analysis, NER, and intent classification; trained/optimized deep learning models for speech recognition and synthesis with TensorFlow and PyTorch (accuracy > 90%). Integrated Google Speech-to-Text and Text-to-Speech for real-time speech conversion, reducing response time by 30%. Managed/optimized databases (Firebase, Grafana, SQL) for data integrity and security; improved speech recognition accuracy by 15% via fine-tuning. Built interactive visualizations with Matplotlib, Zoho Analytics, and Power BI to support data-driven decisions.