Pradyumna Pramanik
Lead Generative Ai Engineer @Tata Consultancy Services
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WORK HISTORY
Lead Generative Ai Engineer @Tata Consultancy Services
Bengaluru, IN
Developed and productionized a Claims Copilot chatbot Application to retrieve relevant information, intelligently routing queries and providing an intuitive interface tailored to the needs of insurance claims Ops specialist.• Developed Logging Framework to capture conversations, build multiple data sources (customer documents, APIs) for RAG, Chunking Framework & Embedding using LangChain, Agentic flow using LangGraph and Evaluation Framework using Ground truths and chatlogs to determine accuracy of answers.
EDUCATION
Birla Institute of Technology and Science, Pilani
Master of Technology - MTech, Artificial Intelligence & Machine Learning
Silicon Institute of Technology (SIT), Bhubaneswar
Bachelor of Technology - BTech, Electronics and Communication Engineering
ABOUT PRADYUMNA PRAMANIK
Performance-driven Data Science & Generative AI Leader with 11.4+ years of experience delivering enterprise-scale AI/ML solutions across E-Commerce, Retail, BFSI, FinTech, and IT sector, targeting challenging assignments in Data Science, Gen AI & Machine Learning Engineering, with an organization of high repute.Specialized in Gen AI, LLMs, RAG, Prompt Engineering, Agentic AI, and MLOps/LLMOps. Proven expertise in building and productionizing GenAI copilots, intelligent chatbots, recommendation engines, and predictive analytics solutions that drive measurable business outcomes. Adept at leading cross-functional teams, managing stakeholders, and scaling AI initiatives in cloud-native environments (Azure, AWS, GCP).Core Competencies: Data Science, Machine Learning, NLP & AI Gen AI, LLM, RAG, Prompt Engineering Agentic AI, Open AI, LangChain, LangGraph Data Analysis/Statistical Analysis, Predictive Modelling, Data Visualization, MLOps, LLMOps, Azure, AWS, GCP, CI/CD, Docker Data Engineering, Product Development, Project Management, Team LeadershipTechnical Skills:• Python, SQL, Pyspark, Machine Learning, Deep Learning, NLP, Statistics, SAS• Generative AI, LLM, RAG, OpenAI, Llamaindex• Agentic AI, LangChain, LangGraph, CrewAI• Machine Learning: Linear and Logistic Regression, Decision Trees, Random Forest, SVM, KNN, Ensemble Algorithms, XGboost, Catboost, LightGBM, PCA, Clustering Algorithms, Forecasting, Recommendation System• Azure, AWS, GCP, Data Bricks• Data Engineering, Big Data, Teradata, and ETL• MLOps, CI/CD, Docker, Kubernetes, Git, Fast API, MCP• Data Visualization, Power BI• Pandas, Matplotlib, Seaborn, Scikit-Learn, Keras• Retail Analytics, Customer Analytics, CRM, E-commerce, Marketing, Banking & Fintech
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