Weston S.

🔥 𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜/𝗠𝗟 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 | 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗲𝗺𝗶𝗲𝗿 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 | 𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 🔥

A highly accomplished and results-driven AI/ML Architect with over 10 years of experience, specializing in architecting and deploying advanced AI/ML solutions for enterprise clients across diverse industries including airline, automotive, marketing analytics, political outreach, and fact-checking for publishers. My background spans the entire AI/ML lifecycle, from strategic solution design to hands-on implementation and operationalization of scalable, real-world systems. I'm currently leading the team at AI Arch Solutions to excel at translating complex business challenges into innovative, AI-driven solutions that deliver measurable ROI.

💪 𝐂𝐎𝐑𝐄 𝐂𝐎𝐌𝐏𝐄𝐓𝐄𝐍𝐂𝐈𝐄𝐒 💪

𝘼𝒈𝙚𝒏𝙩𝒊𝙘 𝘼𝑰 & 𝑨𝙪𝒕𝙤𝒏𝙤𝒎𝙤𝒖𝙨 𝙎𝒚𝙨𝒕𝙚𝒎𝙨

● 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀: ReAct (Reasoning and Acting), RAG (Retrieval-Augmented Generation), Multi-Agent Systems (MAS), Hierarchical Agent Architectures (e.g., Manager-Worker)
● 𝗖𝗼𝗿𝗲 𝗔𝗴𝗲𝗻𝘁 𝗔𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: Tool Use & Function Calling, Complex Task Decomposition, Dynamic Planning & Reasoning, Self-Correction & Reflection Loops (e.g., Reflexion)
● 𝗠𝗲𝗺𝗼𝗿𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Designing and implementing agent memory systems, including short-term (context window), long-term (vector databases), and structured memory approaches
● 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Advanced prompt chaining, state tracking across multi-turn interactions, and managing conversational context for complex tasks

𝑫𝙖𝒕𝙖 𝙎𝒄𝙞𝒆𝙣𝒄𝙚 & 𝘿𝒂𝙩𝒂 𝑬𝙣𝒈𝙞𝒏𝙚𝒆𝙧𝒊𝙣𝒈

● 𝗠𝗼𝗱𝗲𝗹 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: Data cleaning, data imputation, feature engineering, feature space reduction (PCA)
● 𝗠𝗼𝗱𝗲𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: LLMs, Neural Networks, NLP (BERT, ELMO, GPT Variants), K-Means / Hierarchical Clustering, Logistic Regression, Random Forest (XGBoost), K-Nearest Neighbor, Naïve Bayes, GridSearch, Causal Inference, Bayesian Marketing Mix Modeling
● 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀: Tableau, Seaborn, Matplotlib, Plotly, Dash
● 𝗖𝗼𝗱𝗶𝗻𝗴: Python (NumPy, pandas, scikit-learn, TensorFlow, Keras, NLTK, LangChain, Streamlit), SQL, Java, R
● 𝗗𝗮𝘁𝗮 𝗧𝗼𝗼𝗹𝘀: Google Cloud Platform (BigQuery, Vertex AI), AWS (SageMaker, Lambda, S3), Databricks, Airflow (DAGs), Pinecone, PostgreSQL ● 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Regression Discontinuity Design, Interrupted Time Series, A / B Testing