Kiran Darimadugu

About Kiran Darimadugu

I am an Artificial Intelligence Engineer with 7 years of experience specializing in Machine Learning, Natural Language Processing (NLP), Generative AI, and Statistical Modeling. My expertise encompasses the full data science lifecycle, including exploratory data analysis, data cleaning, model building, and results interpretation. I excel in developing forecasting models, clustering analysis, recommendation engines, and working with advanced techniques such as Sentiment Analysis, Summarization, Sentence Similarity, Question Answering, Retrieval Augmented Generation (RAG) and chatbot development, Agentic AI and AI workflow automations.Key Skills:• Data Processing, Visualization• Data Modeling; Analysis• Python; R Programming• LLM Orchestration: LangChain, LlamaIndex, Google ADK, langgraph, langflow, crew ai, DSPy, n8n.• Vector Databases: Pinecone, Chroma DB, Weaviate, Azure AI Search, Amazon Kendra, Amazon OpenSearch• LLMs: GPT, Gemini, Claude, Titan.• SQL / Oracle• Machine Learning; Deep Learning• Time Series Analysis• Natural Language Processing (NLP)• Agentic AI• Mathematics; Statistics• Power BI• Libraries: NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, NLTK, Spacy, TensorFlow, pytorch, PySpark.• WekaProfessional Summary:Skilled in transforming data into actionable insights using a range of algorithms and techniques, including Linear and Logistic Regression, Decision Trees, K-Nearest Neighbors, SVM, Naive Bayes, Random Forest, and Gradient Boosting for supervised learning, and PCA, K-means, and hierarchical clustering for unsupervised learning. Experienced with time series models like ARIMA, SARIMA, and LSTM, and advanced NLP and DL methodologies, including neural networks, transformers, and large language models such as GPT. Proven ability to tune and evaluate models for optimal performance, with a proactive approach to solving complex problems and driving business success.

Experience

1. Lead Data Scientist

   Qualcomm

   Mar 2026 — Present · Hyderabad, IN

   Categorization: Architected an AI-driven ServiceNow system that automated high-volume ticket categorization, eliminating manual triage bottlenecks and drastically reducing response times. Conversational AI Assistant: Developing a chatbot capable of querying Oracle DB, Salesforce, AppZen, and SharePoint via natural language to deliver instant, accurate customer responses regarding products, invoices, POs, and claims.

Education

• Geethanjali Institute of Science and Technology

  Bachelor of Technology, Civil Engineering

  2012 — 2016

• University of Leeds

  MSc Data Science and Analytics, Computer Science

  2021 — 2022