Open to opportunities

Mahaboob Vali Shaik

@mahaboobvalishaik

Message

AI/ML-focused computer scientist building production-ready machine learning and RAG solutions.

Zimbabwe

Message

What I'm looking for

I seek an AI/ML role where I can build and deploy RAG and ML systems, work with cross-functional teams, and grow in productionizing models and improving user-facing AI.

I am a recent B.Tech graduate in Computer Science & Engineering (AI & ML) with hands-on experience developing production-oriented AI solutions, including RAG systems, crop yield prediction, and interactive data-storytelling applications. I consistently apply Python, deep learning frameworks, vector search (FAISS), and prompt engineering to improve model relevance, accuracy, and latency.

My projects and internships demonstrate measurable impact — InsightRAG improved document understanding by 20%, an interactive RAG dashboard raised engagement by 15%, and a health assistant achieved 95% retrieval accuracy — reflecting my drive to deliver practical, user-focused ML products.

Experience

Work history, roles, and key accomplishments

GenAI Intern

GitHub

Developed InsightRAG, a LangChain+FAISS based AI knowledge assistant and a Streamlit RAG dashboard, improving document understanding by 20% and user engagement by 15%. Applied prompt engineering and model optimization to improve LLM relevance and reduce response time by 10%.

Lang Chain Faiss OpenAI API Streamlit Prompt Engineering Optimization Python Vector Search

Education

Degrees, certifications, and relevant coursework

Malla Reddy University

Bachelor of Technology, Computer Science & Engineering (AI & ML)

2021 -

Grade: 8.72/10

Activities and societies: Participated in Intellithon hackathon (2nd prize); published on Multi-Objective Evolutionary Algorithms (IJSREM); internships and projects in RAG, crop yield prediction, and AI-driven applications.

Pursuing a B.Tech in Computer Science & Engineering (AI & ML) with strong academic performance and hands-on ML/AI project experience, including crop yield prediction and RAG systems.