I'm a passionate Artificial Intelligence Engineer specializing in building intelligent systems that bridge cutting-edge research with real-world applications. With a strong foundation in Machine Learning, Computer Vision, and Natural Language Processing, I thrive on solving complex problems through data-driven solutions.

• Advanced RAG Systems: Architecting full-stack, containerized RAG applications using Django, Neo4j, and Google Gemini
• Multi-Modal AI: Developing conversational agents capable of reasoning, planning, and autonomous task execution
• Production ML: Transitioning academic AI research into robust, scalable enterprise solutions

Deep Learning: PyTorch, TensorFlow, Computer Vision, NLP, LLMs, Transformers
MLOps: Model Optimization, Vector Databases (FAISS), Hybrid Retrieval Systems
AI Architectures: RAG Pipelines, LangChain, Multi-Agent Systems, Cognitive Robotics

Data Pipelines: AWS Databricks, ETL/ELT, Apache Spark, Data Warehousing
Databases: Neo4j (Graph), PostgreSQL, MySQL, Vector Databases
Cloud & DevOps: AWS (S3, EC2), Docker, Git, CI/CD, Agile Methodologies

Languages: Python, R, Java, C++, SQL, JavaScript
Backend Development: Django, REST APIs, System Architecture
Tools & Platforms: Linux, Windows, Tableau, Power BI, Jupyter

MSc Artificial Intelligence | University of Manchester (2023-2025)
Relevant Coursework: Computer Vision, Large Language Models, Cognitive Robotics, Machine Learning Optimization

B.E. Computer Engineering | Bharati Vidyapeeth College of Engineering (2019-2023)
Focus: CNNs, Natural Language Processing, Data Science, Network Security

Full-stack AI application featuring hybrid graph-vector retrieval, cross-encoder re-ranking, and verifiable cited answers from PDF documents

End-to-end AWS Databricks pipelines processing large-scale e-commerce data with Power BI dashboards for business intelligence

Intel-partnered project enhancing SMLP for machine learning model analysis and optimization

• Research-to-Production Mindset: Bridging academic AI advancements with practical business applications
• Full-Stack AI Development: From algorithm design to deployment and monitoring
• Data-Driven Decision Making: Leveraging analytics to drive AI system improvements
• Cross-Functional Collaboration: Experience working in Agile teams with stakeholders at all levels

• LinkedIn: Neel More
• YouTube: N E E L_ M O R E - Sharing AI insights and technical deep dives
• Email: neelmore007@gmail.com

• 🧠 Continuously exploring the intersection of human cognition and artificial intelligence
• 📚 Passionate about knowledge sharing and mentoring in the AI community
• ☕ Fueled by coffee and complex problem-solving challenges

"Engineering intelligent systems that learn, adapt, and deliver real-world impact."