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

I am an AI Engineer with over four years of experience designing, building, and deploying production-ready AI systems that automate complex business workflows. I specialize in AI agents, predictive scoring models, NLP-driven automation, and API integrations, and I enjoy turning data from diverse sources into intelligent decisions and automated actions. I thrive on delivering scalable, reliable solutions with continuous learning loops driven by real-world outcomes.…I am an AI Engineer with over four years of experience designing, building, and deploying production-ready AI systems that automate complex business workflows. I specialize in AI agents, predictive scoring models, NLP-driven automation, and API integrations, and I enjoy turning data from diverse sources into intelligent decisions and automated actions. I thrive on delivering scalable, reliable solutions with continuous learning loops driven by real-world outcomes.

Sai Premanvitha Kadiyala

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





I am an AI Engineer with over four years of experience designing, building, and deploying production-ready AI systems that automate complex business workflows. I specialize in AI agents, predictive scoring models, NLP-driven automation, and API integrations, and I enjoy turning data from diverse sources into intelligent decisions and automated actions. I thrive on delivering scalable, reliable solutions with continuous learning loops driven by real-world outcomes.…I am an AI Engineer with over four years of experience designing, building, and deploying production-ready AI systems that automate complex business workflows. I specialize in AI agents, predictive scoring models, NLP-driven automation, and API integrations, and I enjoy turning data from diverse sources into intelligent decisions and automated actions. I thrive on delivering scalable, reliable solutions with continuous learning loops driven by real-world outcomes.

Available to hire

I am an AI Engineer with over four years of experience designing, building, and deploying production-ready AI systems that automate complex business workflows.

I specialize in AI agents, predictive scoring models, NLP-driven automation, and API integrations, and I enjoy turning data from diverse sources into intelligent decisions and automated actions. I thrive on delivering scalable, reliable solutions with continuous learning loops driven by real-world outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI Data Scientist at JP Morgan Chase & Co.

November 1, 2024 - Present

Designed and deployed AI-driven agents to automate lead intake, analysis, and follow-up workflows for high-volume customer communications, processing 65,000+ interactions per month and ensuring timely, consistent engagement. Built predictive lead-scoring models to classify leads by priority, improving scoring accuracy by 11–14% AUC and reducing false negatives by 18%. Implemented automated, personalized NLP-driven follow-ups and summaries, reducing manual effort by 55% and accelerating response times. Designed appointment coordination and notification logic and developed API-driven backend services to integrate AI agents with CRM and notification systems. Established continuous learning pipelines with conversion outcomes and feedback signals, and performed statistical validation and A/B testing to guide rollout. Collaborated with stakeholders to translate business rules into scalable production AI solutions, and implemented monitoring, explainability (SHAP), and audit-ready logging f

Data Scientist at LTIMindtree

May 1, 2020 - August 1, 2023

Built and productionized AI-powered automation solutions for large-scale retail clients, supporting demand forecasting, customer insights, and decision automation across enterprise-scale workflows. Developed classification and scoring models to segment customers and prioritize actions across 25,000+ users, enabling targeted engagement and improved conversion. Designed end-to-end ML pipelines using Python, FastAPI, Docker, and CI/CD, ensuring reliable data ingestion, real-time scoring, and seamless integration with downstream systems. Implemented automated workflow orchestration triggering updates, notifications, and reporting based on model outputs, improving operational efficiency and reducing manual intervention. Partnered with engineering, product, and client stakeholders to align with business goals.