AI/ML Engineer – Data Training and Integration
TextFine Tuning
Developed and deployed AI/ML modules for predictive project timeline analysis using Python, TensorFlow, and PyTorch. Responsible for training models on historical project data and tracking experiments with Weights & Biases. Integrated RAG-based features for internal knowledge retrieval and enhanced existing AI/ML capabilities for multiple client applications.
• Built predictive models leveraging text-based historical data for timeline forecasting.
• Tracked experiment results and managed ML process with Weights & Biases.
• Integrated retrieval augmented generation (RAG) for knowledge base querying with LangChain, Pinecone, and OpenAI API.
• Contributed to end-to-end pipeline from data ingestion, labeling, training, and deployment.
Developed and deployed AI/ML modules for predictive project timeline analysis using Python, TensorFlow, and PyTorch. Responsible for training models on historical project data and tracking experiments with Weights & Biases. Integrated RAG-based features for internal knowledge retrieval and enhanced existing AI/ML capabilities for multiple client applications. • Built predictive models leveraging text-based historical data for timeline forecasting. • Tracked experiment results and managed ML process with Weights & Biases. • Integrated retrieval augmented generation (RAG) for knowledge base querying with LangChain, Pinecone, and OpenAI API. • Contributed to end-to-end pipeline from data ingestion, labeling, training, and deployment.
2023 - 2025