Senior Data Scientist & AI/ML Engineer specializing in LLMs, RAG architectures, and production-grade machine learning systems across retail, healthcare, and insurance.
Hi, I'm Jyoshna — a Senior Data Scientist and AI/ML Engineer with 7+ years of experience building scalable machine learning and Generative AI solutions. I've worked across retail, healthcare, and insurance, turning complex data into real-world production systems.
I specialize in LLMs, RAG architectures, and end-to-end ML pipelines, with deep expertise in Python, TensorFlow, PyTorch, and cloud platforms like AWS and Azure. Currently based in New York, I'm passionate about engineering AI that doesn't just work in notebooks — it works in production.
I hold a Master's in Big Data Analytics & IT from UCM, USA and a Bachelor's in Electronics & Communication Engineering from REVA University, India.
Reduced ML pipeline processing time by 30–40% through optimized feature engineering and workflow orchestration.
Improved model accuracy by 15–25% across NLP and forecasting use cases across multiple domains.
Built and deployed scalable LLM-based RAG solutions reducing manual effort by 50% in enterprise workflows.
Built an end-to-end intelligent document search system using LangChain and vector databases, enabling semantic search across enterprise documents.
Developed an enterprise chatbot using prompt engineering and embeddings, improving response accuracy and user engagement for internal teams.
Designed an end-to-end pipeline for document ingestion, chunking, embedding, and retrieval to power scalable AI applications in production.
Built ML models incorporating seasonality, promotions, and regional trends for demand forecasting at The Home Depot, optimizing inventory planning.
Fine-tuned BERT and RoBERTa models for text classification on large-scale unstructured data with full MLOps monitoring and retraining automation.
Enabled near real-time clinical and operational analytics at Max Healthcare using Azure Event Hubs and ML-powered dashboards for stakeholder insights.
I'm open to new opportunities, collaborations, and interesting AI/ML projects. Feel free to reach out.