Summary
Rasagna Kusuma is a Data Scientist and Generative AI Engineer with 4–5 years of hands-on experience building and productionizing NLP, computer vision, and recommendation systems across cloud platforms. She has designed conversational agents, RAG pipelines, and custom NER solutions, improving model accuracy and operational metrics (e.g., 30%+ accuracy gains and 40% reduction in manual work) through LLM fine-tuning, prompt engineering, and distributed training. Comfortable across the ML lifecycle, she combines MLOps practices (Airflow, MLflow, CI/CD) with scalable data engineering on Databricks, Hadoop/Hive, and Delta Lake, and deploys services on AWS, GCP, and Azure. Her toolkit spans TensorFlow, PyTorch, Hugging Face, LangChain/LlamaIndex, vector DBs (Pinecone, Milvus, ChromaDB), and practical API integrations, enabling low-latency, cost-optimized solutions. Based in Hoboken, NJ, she pairs a rigorous engineering background (MS in Data Science) with a habit of closing the loop—logging user interactions for continuous learning—to drive measurable product impact.
3 years of coding experience
2 years of employment as a software developer
School, 9.5, School, 9.5 at St.Gabriels High School
Bachelor's degree, Electrical and Electronics Engineering, 8.66, Bachelor's degree, Electrical and Electronics Engineering, 8.66 at Kakatiya Institute of Technology & Science, Yerragattu Hillocks, Bheemaram, Hasanparthy, Warangal
Master of Science - MS, Data science, 3.4, Master of Science - MS, Data science, 3.4 at Stevens Institute of Technology