MOHAMMED GHOUSE AHMED

Conducted hands-on applied machine learning on search analytics datasets, focusing on semantic clustering, query intent classification, and opportunity scoring models. ​Built reproducible ML pipelines in Python using pandas, scikit-learn, sentence-transformers, and HDBSCAN to extract non-obvious, actionable insights from real data.

Facilitated three technical workshops for 40+ students on Google platforms including Gemini API and Agent Development Kit. Supported peer upskilling and campus developer outreach.

Optimized multi-agent execution pipelines by orchestrating task distribution and deploying four LLM-based automation pipelines using prompt engineering and tool-use patterns. Delivered pipelines within fixed 15-day cycles and improved team reuse via documented architecture and prompt design decisions.

Built a content-based movie recommendation system using TF-IDF vectors and cosine similarity scoring over the 5,000-title TMDB dataset. Cleaned and prepared input data by resolving missing values and inconsistent categorical fields using Pandas and Scikit-learn preprocessing pipelines.

Pursuing a Bachelor of Technology in Computer Science Engineering at Muffakham Jah College of Engineering & Technology (Osmania University), Hyderabad, from Aug 2025 to Sep 2029.