Curriculum Vitae
Muhammed Shahinsha | Data Science & AI Engineer
Profile Summary
A multidisciplinary Data Science & AI Engineer with a unique background in production coordination and graphic design. I specialize in bridging the gap between complex machine learning architectures and intuitive, human-centric user experiences. Passionate about leveraging LLMs, deep learning, and robust web frameworks to solve real-world problems.
Professional Experience
2023 — Present
Data Science & AI Engineer
Freelance / Independent- Developed 'Auditron', an automated anomaly detection platform reducing financial review times by 80%.
- Built 'DocuMind', a RAG-based QA system leveraging LLaMA 3 and vector databases for enterprise insights.
- Engineered full-stack solutions using Next.js, FastAPI, and PostgreSQL, focusing on performance and robust APIs.
- Conducted sentiment analysis on massive datasets utilizing custom RNN architectures and NLTK.
2021 — 2023
Production Controller & Graphic Designer
SAF Trading Company- Led production planning and cross-functional coordination, increasing workflow efficiency.
- Designed high-quality packaging, labels, and digital marketing creatives.
- Implemented workflow improvements and automated routine coordination tasks, resulting in streamlined operations.
Selected Projects Snapshot
Auditron
FinTech analytics, anomaly detection, GST engine, forecasting, microservices.
RuleSense
Traffic-rule RAG assistant with Ollama and LLaMA 3.
DocuMind
PDF Q&A RAG system for extracting insights from unstructured data.
HR Analytics Dashboard
Analytics dashboard for workforce insights and attrition forecasting.
Technical Skills
Backend & ML
Python / FastAPIMachine Learning (Scikit-learn, XGBoost)Deep Learning (PyTorch, TensorFlow)NLP & LLMs (LangChain, Hugging Face)
frontend
React / Next.jsTypeScriptTailwind CSSStreamlit / Gradio
tools
Git / GitHubDockerPostgreSQL / Vector DBsJupyter / Colab
design
Graphic DesignUI/UX PrototypingData VisualizationContent Creation
Education
Bachelor of Technology in Computer Science
University of Technology
2018 — 2022
Certifications
- •AWS Certified Machine Learning – Specialty
- •Deep Learning Specialization (Coursera)
- •Advanced React and Next.js (Frontend Masters)
Leadership & Comms
- Technical Writer & Content CreatorPublishing in-depth articles on machine learning concepts and full-stack development patterns.
- Open Source ContributorActive contributor to Python-based NLP libraries and React component ecosystems.