Thepan Ganesh

WORK HISTORY

EDUCATION

ABOUT THEPAN GANESH

Senior Generative AI Engineer and Consultant with an MSc in Big Data Science and over five years of cross-industry experience spanning public sector, banking, retail, FMCG, healthcare, ESG, and supply chain. I design and build end-to-end AI solutions across machine learning, generative AI, agentic AI, and voice AI, combining strong technical delivery with practical product and stakeholder leadership.My experience covers AI architecture, model strategy, grounding and retrieval design, evaluation frameworks, and responsible AI assurance. I have delivered solutions ranging from predictive and optimisation models to LLM-powered applications, conversational AI systems, and enterprise AI proof of concepts. I work closely with cross-functional stakeholders to translate business needs into scalable, trustworthy, and implementation-ready solutions.I bring a combination of hands-on engineering, structured problem solving, and consulting rigour, with a strong focus on building AI systems that are not only technically sound, but also practical, measurable, and aligned to real-world business and user needs.• Programming & Data Science: Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM), R (tidyverse, data.table)• Deep Learning & AI: LangChain, LangGraph, Prompt engineering, PyTorch, TensorFlow, CNNs, RNNs, GANs, Transformer architectures (BERT, GPT-style)• NLP & Computer Vision: spaCy, NLTK, Hugging Face Transformers; OpenCV, custom CNN pipelines• Data Warehousing & ETL: SQL (PostgreSQL, MySQL, Redshift), Azure Synapse, Airflow; design & optimisation of batch and streaming pipelines• Big Data Ecosystem: Apache Spark, Hadoop, Hive; BigQuery on GCP• MLOps & CI/CD: Docker, Kubernetes; Jenkins, GitHub Actions; MLflow model tracking & deployment; feature-store design• Cloud Platforms: Azure (AI Foundry, ML Studio, Data Factory), AWS (SageMaker, Glue), GCP (Vertex AI, BigQuery, CES)• Advanced Analytics: Hypothesis testing, Bayesian inference, time-series forecasting, survival analysis• Business Intelligence: Power BI, Tableau, Dash• Project Leadership: Agile/Scrum, Jira & Confluence; cross-functional stakeholder management• Product & Strategy: Road mapping ML-driven products, gap analysis, go-to-market metrics & prioritisationLet\'s collaborate to build a trusted AI systems that combine technical depth, practical delivery, and measurable impact.