Building intelligent, data-driven applications with Python, SQL, and modern cloud technologies
I'm a Software Engineer with a strong foundation in data engineering, machine learning, and full-stack development. My passion lies in solving complex problems through innovative technical solutions that deliver real business value, and I am developing my skills aiming for the same.
- π§ Technical Proficiency: Python, SQL, JavaScript/TypeScript, React, Node.js
- π€ AI/ML Expertise: TensorFlow, PyTorch, Scikit-learn, LangChain, RAG systems
- βοΈ Cloud & DevOps: Azure, GCP, Docker, Kubernetes, CI/CD pipelines
- π Data Engineering: ETL pipelines, Databricks, Apache Spark, data modeling
July 2024 - February 2025
- π― Engineered robust data pipelines using Splink and Databricks for entity resolution, improving data quality workflows
- π Enhanced customer data quality by 50% through intelligent web scraping and LLM-based classification models
- π οΈ Built synthetic data generation models with Python and SimPy for business process demonstrations
- π Delivered full-stack solutions using React.js, Node.js, and modern data engineering tools (Azure, DBT, Databricks)
- π€ Collaborated cross-functionally with data scientists and business stakeholders to drive project success
B.Tech in Computer Science (Data Science) | Mar Athanasius College of Engineering
CGPA: 8.52/10
- π Applied Scrum for Agile Project Management - University System of Maryland
- π Machine Learning in Production - DeepLearning.AI
- π Introduction to TensorFlow for AI, ML and Deep Learning - DeepLearning.AI
- π Building production-ready LLM applications with RAG architectures
- π± Deepening expertise in Deep Learning and NLP
- π Exploring advanced MLOps patterns and tools
- πΌ Developing scalable SaaS applications
- π Learning the customer/ client side of technical solutions
I'm always interested in discussing:
- πΌ Job Opportunities
- π€ Collaboration - Open-source projects, especially in ML/AI
- π‘ Technical Discussions - Data engineering, MLOps, full-stack development
- π Knowledge Sharing - Best practices, architectural patterns, new technologies
Reach out via:
- π§ Email: rasinbinabdulla@gmail.com
- πΌ LinkedIn: linkedin.com/in/rasinmuhammed
- π¦ Twitter: @rasinmuhammedx