Sirichandana Bomma

Driven by a passion for building intelligent systems, I specialize in AI engineering, machine learning, generative AI, large language models (LLMs), NLP, agentic AI, MLOps, and scalable data workflows. With a Master’s in Information Science and hands-on experience in healthcare AI and fraud detection, I have successfully: 1. Developed and deployed LLM-powered pipelines for clinical data classification and retrieval, improving processing throughput by 30%. 2. Engineered Retrieval-Augmented Generation (RAG) workflows using LangChain, Pinecone, and OpenAI to deliver real-time, context-aware document automation. 3. Integrated multi-agent systems (CrewAI, LangChain agents) to orchestrate end-to-end ML workflows and streamline production model lifecycle. I enjoy working at the intersection of AI, data, and product strategy — aligning deep learning models with real-world business needs and driving measurable impact through thoughtful engineering. Skills: AI/ML: LLMs, RAG, Prompt Engineering, Transformers, NLP, Agentic AI, LangChain, CrewAI, OpenAI, PyTorch, TensorFlow, RLHF, Generative AI Programming: Python, R, SQL, Flask, FastAPI, Git Data Science: Deep Learning, Classification, Feature Engineering, Statistical Modeling, Model Evaluation (F1, AUC), Time Series, CNN, LSTM MLOps & Deployment: Docker, MLflow, Kubernetes, GCP, AWS, Azure, CI/CD Pipelines Data Engineering: Pandas, NumPy, PySpark, Apache Spark, Hadoop, ETL Pipelines Visualization: Matplotlib, Seaborn, Power BI Databases: PostgreSQL, MySQL, MongoDB, DynamoDB, Pinecone Career: Experience: 3+ years Roles I fit in: Machine Learning Engineer, AI Engineer, Agentic AI Developer, NLP Engineer, Prompt Engineer, MLOps Engineer, Data Scientist Organizations I've worked with: Spok Inc, Zensar Technologies, VITA Technologies Interests: • Generative AI & Agentic Workflows • AI for Healthcare Innovation • ML System Architecture • Cloud-native MLOps