Hi, I'm Sripathi M.
Architect, driving data innovation for 8+ years.
Architect with 8+ years transforming data landscapes across retail, energy, and tech sectors. Currently spearheading Generative AI initiatives at Fractal Analytics.
I'm an Architect with over 8 years of experience driving data innovation across diverse industries. At Fractal Analytics, I currently spearhead Generative AI initiatives, blending cutting-edge tech with real-world impact. My core expertise lies in building scalable, cloud-native data platforms and optimizing pipelines for performance and cost — leveraging tools like Azure, Databricks, and the modern data stack.
Known for a leadership style rooted in transparency, client-centric thinking, and operational excellence, I thrive at the intersection of engineering and strategy. I'm also an active participant in GenAI hackathons and machine learning projects, constantly pushing the boundaries of what's possible.
Technical skills & tools
Python · SQL · PySpark · Data Modelling · Dimensional Modelling · Generative AI · Azure Data Factory · Azure Databricks · Azure Functions · Azure AI Foundry
Data & AI libraries
Pandas · NumPy · Azure SDK · Scikit-learn · Keras · Hugging Face Transformers · LangChain · Langraph · Unsloth · MLflow
Certified
Microsoft Fabric Analytics Engineer Associate
PORTFOLIO
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Stock-Picking Basics, the SMILE Checklist, and Macro Lessons from Ray Dalio
Notes from two different angles on investing — bottom-up stock-picking fundamentals (market cap, a small-cap screener recipe, gold vs. interest rates) and top-down macro lessons from Ray Dalio's Masterclass, including why losing 50% means you need to make 100% back.
Semantic Search, Lesson 1: Why Keyword Search Only Gets You Halfway
Notes from DeepLearning.AI's Large Language Models with Semantic Search course — how BM25 keyword search actually works, why it breaks on paraphrased queries, and where embeddings, dense retrieval, and rerank fit into the bigger RAG picture.
NLP Basics: Bag of Words, Text Preprocessing, and a Real Kaggle Walkthrough
Notes on how NLP turns text into numbers a model can use — Bag of Words, tokenization, stemming vs. lemmatization — worked through end-to-end on the Quora Insincere Questions Classification dataset.