Generative AI Engineer

Architected and deployed enterprise-grade GenAI applications on AWS using OpenAI and open-source LLMs; designed RAG pipelines with LangChain and LlamaIndex; built FastAPI microservices for LLM inference and summarization; developed async streaming endpoints; fine-tuned domain-specific LLMs; built document intelligence pipelines; engineered event-driven microservices; implemented HIPAA-compliant guardrails; created code generation and knowledge retrieval systems; established LLMOps best practices.

Designed and deployed ML and NLP solutions for customer servicing, risk analytics, and automation; built retrieval-augmented search frameworks; fine-tuned transformer models; implemented prompt engineering and evaluation frameworks; designed scalable data pipelines; deployed services on AWS; established MLOps practices; developed recommendation and anomaly detection models; implemented monitoring and alerting; contributed to responsible AI initiatives.

Developed models for churn prediction, revenue forecasting, and service adoption; built NLP systems for support tickets and call transcripts; designed customer segmentation and behavioral analytics models; engineered data pipelines with Azure services; performed feature engineering on telecom datasets; deployed ML models with REST APIs, Docker, and AKS; implemented monitoring and retraining pipelines; developed Power BI dashboards.

Developed recommendation systems, demand forecasting models, segmentation, NLP support assistants, pricing optimization models, anomaly detection, and predictive maintenance solutions; processed large-scale manufacturing datasets with Spark; integrated models into production systems; developed batch and streaming pipelines; created dashboards; deployed solutions on AWS; automated retraining.

Developed end-to-end machine learning solutions; built NLP models for text classification and sentiment analysis; designed data pipelines; performed EDA and feature engineering; developed predictive models; implemented speech processing and early conversational systems; supported model evaluation and deployment; created visualizations and reports.