Hi, I'm Lakshmi Sruthi Anchula

AI/ML engineer with a full stack data background. I build systems that combine machine learning, backend engineering, and data pipelines, then take them from notebook to a working application.

M.S. Engineering Science (Data Science), University at Buffalo, Dec 2025. Open to AI/ML engineering, applied data science across the US, open to relocation.

What I build

AI systems: hybrid recommendation engines, semantic similarity search, neural ranking and fusion models, explainable ML Backend: Python, Flask, REST APIs, PostgreSQL, MongoDB, Docker, CI/CD Data: SQL, ETL pipelines, cohort and churn analysis, Power BI, Snowflake

Featured projects

FlavorGen Café Lab · AI powered beverage recommendation system Combines TF IDF semantic similarity with structured flavor vectors to match natural language taste descriptions to drinks, then uses a PyTorch fusion model to invent new recipes by blending two drinks together. Built on MongoDB Atlas for session and favorites persistence. Currently running locally with Hugging Face Spaces deployment in progress. View repo

Employee Attrition Predictor · ML powered HR analytics tool Compares five classification models on HR feature data and ships a feature engineered KNN pipeline through a deployed prediction app. The companion research notebook tracks every experiment with MLflow on DagsHub. View app repo · View research notebook

Experience

Software and data engineering roles at Wobblrr and Personifwy, building Flask and SQL backed pipelines, REST APIs, and Power BI reporting for data intensive products.

Certifications

AWS Solutions Architect Associate (2026) · Azure AI Fundamentals · Java Full Stack, Wipro TalentNext · currently completing a Databricks Generative AI certification

Contact

Email: lakshmisruthi2113@gmail.com LinkedIn: linkedin.com/in/anchula-lakshmi-sruthi