Kirankumar Reddy Varakantham

About Kirankumar Reddy Varakantham

Lead Data Scientist | AI/ML Engineer | GenAI SpecialistDon\'t just build models - Build intelligent systems that scale, adapt, and create impact.I’m a results-driven and innovation-focused data professional with 7+ years of experience building and scaling end-to-end machine learning systems - now operating at the intersection of AI, ML, MLOps, and Generative AI.What started as a passion for data exploration has evolved into a mission to turn data and models into real business impact. From statistical modeling to deep learning to building applications powered by LLMs, my goal has always been to bridge the gap between cutting-edge AI research and practical, production-ready solutions.In my current role as a Lead Data Scientist at Cisco, I design and deploy scalable AI/ML pipelines, optimize model performance, and help teams operationalize AI through robust Ops practices. I’ve also led multiple initiatives around LLMs and Generative AI, leveraging frameworks like LangChain, Langgraph, LlamaIndex, and Transformers to build intelligent agents, retrieval-augmented generation (RAG) pipelines, and natural language interfaces that integrate seamlessly into enterprise workflows.Core Expertise: • Machine Learning & Deep Learning: Regression, classification, clustering, ensemble methods, CNNs, RNNs, and transformers. • Generative AI & LLMs: GPT-based architectures, prompt engineering, vector databases, RAG, fine-tuning, and LangChain/LlamaIndex integrations. • MLOps & Deployment: Model versioning, CI/CD pipelines, containerization, and monitoring using tools like MLflow, Docker, Airflow, and Kubernetes. • Programming & Tools: Python (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow), SQL, R, SAS, Tableau, and Power BI. • Data Storytelling: Creating meaningful insights from large, complex datasets and communicating them clearly to technical and non-technical stakeholders.What sets me apart is my ability to take ownership from ideation to deployment — not just building great models, but making them work in the real world, at scale, with measurable outcomes.I’m always exploring the next frontier in AI and constantly learning — whether it’s a new GenAI technique, a more efficient deployment framework, or a novel way to make AI more explainable and accessible.Let’s connect if you’re looking to innovate with AI or just geek out over the future of machine intelligence.Contact: k••••••••@gmail.com

Experience

1. Data Scientist

   Cisco

   Jan 2024 — Present · US

   At Cisco, I lead, design and responsible for delivering end-to-end AI and ML solutions that solve complex business problems across global logistics and operations. My work spans the entire ML lifecycle-from data cleaning, feature engineering, and model development to deploying scalable MLOps pipelines in production. I’ve led the development of causal analytics frameworks to uncover root causes of operational inefficiencies, and built GenAI-powered agentic systems that automate insights, generate SQL, and provide intelligent business support. By combining traditional ML with cutting-edge LLM architectures and orchestrating them into modular, reusable components, I enable data-driven decision-making at scale and deliver measurable impact to cross-functional stakeholder.

Education

• The University of Texas at Dallas

  Master's degree, Business Analytics

• Osmania University

  Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

  2012 — 2016