Alfred Bert Paul
Senior Datascience Engineer @Larsen & Toubro
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WORK HISTORY
Senior Datascience Engineer @Larsen & Toubro
Chennai, IN
Developed a hybrid log analysis pipeline using LLMs, combining regex-based structured parsing and semantic embedding generation with SentenceTransformer (all-MiniLM-L6-v2) and ChromaDB for fast, context-aware querying.• Built and integrated a Streamlit front-end and FastAPI backend, enabling real-time log file uploads, parsing, embedding, and query handling with modular timing metrics and interactive demos.• Designed advanced NLP/NLU components using rule-based intent detection, dependency parsing, and time phrase interpretation (via dateutil, dateparser) for structured query understanding.• Optimized embedding workflows with batch processing, deduplication, and memory-aware embedding caching to reduce processing time for 300k+ log lines from hours to minutes on CPU.• Architected and implemented RAG pipeline design with custom chunking (by log levels and time windows), enabling contextual reasoning via LLaMA 3.2 and transformer-based models like DistilGPT2.
EDUCATION
Woolf
Master of Science in Computer Science: Artificial Intelligence and Machine Learning, Data Science | Machine Learning
Model Engineering College
Bachelor of Technology - BTech, Electrical and Electronics Engineering
ABOUT ALFRED BERT PAUL
I’m a data science enthusiast with a knack for uncovering hidden patterns in data and a passion for building innovative solutions hands-on. My curiosity drives me to apply advanced AI-ML techniques and analytical skills across diverse domains like engineering and finance, with a particular fascination for time-series analysis and stock market trends. I thrive on the challenge of researching and developing cutting-edge products, diving deep into advanced AI-ML topics to create impactful solutions. With a sharp focus and meticulous attention to detail, I’m dedicated to transforming complex data into actionable insights and crafting tools that make a difference.
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