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DilshadNaleem/README.md

⚑ Mohammed Dilshad Naleem

AI/ML Architect β€’ Patent Software Engineer β€’ Prior-Art Researcher β€’ Full-Stack Engineering Lead

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Patent Software Engineering

πŸ‘¨β€πŸ’» About Me

name: Mohammed Dilshad Naleem

roles:
  - AI/ML Architect
  - Patent Software Engineer
  - Prior-Art Researcher
  - Full-Stack Engineer
  - Software Architecture Researcher

research_focus:
  - Patent Research
  - Prior-Art Analysis
  - Patent-Oriented Software Development
  - Technical Invention Analysis
  - AI Research
  - Machine Learning Research
  - Experimental Software Engineering

engineering_focus:
  - Artificial Intelligence
  - Machine Learning
  - Enterprise Software Architecture
  - Microservices
  - Cloud Engineering
  - Scalable Backend Systems
  - Mobile Applications
  - API Architecture
  - Software Quality Assurance

languages:
  - Java
  - Python
  - C#
  - C
  - C++
  - JavaScript
  - TypeScript
  - PHP

backend:
  - Spring Boot
  - ASP.NET
  - Flask
  - Node.js
  - Hibernate
  - JPA

frontend_mobile:
  - React
  - React Native
  - HTML
  - CSS
  - JavaScript
  - TypeScript

apis:
  - REST
  - GraphQL
  - Microservices APIs
  - AI / ML APIs

data:
  - PostgreSQL
  - MySQL
  - MongoDB
  - Redis

quality_assurance:
  - Manual QA
  - API Testing
  - Unit Testing
  - Integration Testing
  - JUnit
  - Mockito
  - Postman

cloud_devops:
  - AWS
  - Docker
  - Git
  - GitHub
  - CI/CD
  - Linux

currently_researching:
  - Generative AI
  - LLM Architecture
  - Distributed Systems
  - Advanced Deep Learning
  - Patent-Aware Software Engineering
  - AI-Driven Invention Development

I bridge patent research, machine intelligence and production software engineering β€” transforming technical research and invention concepts into scalable, testable and production-ready software systems.

🧠 Patent Research & Innovation Engineering

πŸ”¬ Research β†’ Prior Art β†’ Architecture β†’ Prototype β†’ Software β†’ Validation

πŸ”Ž Patent Research

  • Prior-Art Research
  • Technical Literature Analysis
  • Patent Landscape Analysis
  • Technology Comparison
  • Feature Differentiation
  • Novelty-Oriented Research
  • Invention Documentation
  • Technical Evidence Analysis

πŸ’‘ Patent Software Engineering

  • Research Prototype Development
  • Patent-Oriented Architecture
  • Experimental Algorithms
  • Sensor / AI Software
  • Proof-of-Concept Development
  • Data Collection Pipelines
  • ML Experimentation
  • Technical Validation

βš™οΈ Engineering Validation

  • Architecture Evaluation
  • API Testing
  • Manual QA
  • Automated Unit Testing
  • Experiment Validation
  • Model Evaluation
  • Performance Testing
  • Technical Documentation

πŸš€ Engineering Focus

πŸ€– Artificial Intelligence

  • Predictive Modeling
  • Random Forest
  • XGBoost
  • TensorFlow
  • PyTorch
  • Computer Vision
  • CNN Models
  • LLM Integration
  • AI API Architecture
  • Production ML
  • Responsible AI

βš™οΈ Software Architecture

  • Microservices
  • REST APIs
  • GraphQL
  • Spring Boot
  • ASP.NET
  • Flask
  • Hibernate / JPA
  • Role-Based Systems
  • Real-Time Processing
  • Enterprise Applications
  • Distributed Systems

☁️ Cloud, Data & QA

  • AWS
  • Docker
  • CI/CD
  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
  • Data Pipelines
  • Postman
  • JUnit
  • Mockito
  • Manual QA

πŸ’Ž Featured Engineering Projects

🩺 Alcura AI β€” AI-Powered Healthcare Platform

Full-Stack Healthcare Application + Machine Learning Architecture

Highlights

  • Developed an AI-driven healthcare prediction platform.
  • Integrated Random Forest / ML inference pipelines.
  • Implemented biometric facial authentication.
  • Built role-based dashboards.
  • Integrated Spring Boot and Flask APIs.
  • Added password recovery and multi-stage verification.
  • Developed model-management functionality.
  • Added analytics and reporting features.
  • Implemented API and application testing strategies.

Architecture

                         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                         β”‚      Client      β”‚
                         β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                  β”‚
                                  β–Ό
                    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                    β”‚ HTML / CSS / JavaScriptβ”‚
                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                 β”‚
                                 β–Ό
                    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                    β”‚   Spring Boot API     β”‚
                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                β”‚
             β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
             β”‚                  β”‚                  β”‚
             β–Ό                  β–Ό                  β–Ό
       Authentication      Business Logic      Hibernate/JPA
             β”‚                  β”‚                  β”‚
             β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                β”‚
                                β–Ό
                      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                      β”‚   Flask ML API   β”‚
                      β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                               β”‚
                               β–Ό
                  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                  β”‚ Machine Learning Modelsβ”‚
                  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                               β”‚
                               β–Ό
                     Prediction + Analytics

Stack

Java Spring Boot Hibernate JPA Python Flask
Random Forest XGBoost OpenCV REST Postman JUnit Mockito

πŸ”¬ HepatoPath β€” Cirrhosis Prediction

AI-Assisted Healthcare Prediction Platform

Highlights

  • Machine-learning based disease prediction.
  • Image and structured-data processing.
  • Facial biometric authentication.
  • Role-based application architecture.
  • Spring Boot ↔ Flask integration.
  • AI model management.
  • Analytics and reporting.
  • REST API integration and validation.

Stack

Python Java Spring Boot Flask XGBoost
Random Forest OpenCV REST JUnit Postman

πŸš– MegaCityCab β€” Cab Management Platform

Enterprise Java Web Application

Highlights

  • Role-based cab management platform.
  • Vehicle rental workflow.
  • Late vehicle handover fine calculation.
  • Authentication and password recovery.
  • Administrative dashboards.
  • Database-driven enterprise workflows.
  • Unit and manual testing.

Stack

Java Java Servlet JSP HTML CSS JavaScript JUnit

πŸ‹οΈ Gymnasium β€” Mobile Application

Fitness Management Mobile Application

Highlights

  • Member-management workflow.
  • Java-based business logic.
  • SQLite persistence.
  • Authentication.
  • Analytics.
  • PDF generation for new-member enrollment.

Stack

Java SQLite Lottie

πŸ› οΈ Technology Arsenal

πŸ’» Programming Languages


βš™οΈ Backend & Frameworks




πŸ“± Frontend & Mobile




πŸ—„οΈ Databases & Data


☁️ Cloud & DevOps


πŸ€– Artificial Intelligence / Machine Learning


πŸ§ͺ Testing & Quality Assurance


πŸ”¬ Research + Engineering Workflow

                     RESEARCH
                        β”‚
                        β–Ό
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
              β”‚   Prior-Art      β”‚
              β”‚    Analysis      β”‚
              β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β”‚
                       β–Ό
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
              β”‚ Technology Gap   β”‚
              β”‚    Analysis      β”‚
              β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β”‚
                       β–Ό
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
              β”‚ Patent-Oriented  β”‚
              β”‚ System Design    β”‚
              β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β”‚
                       β–Ό
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
              β”‚ Prototype / POC  β”‚
              β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β”‚
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
              β”‚                  β”‚
              β–Ό                  β–Ό
         AI / ML             Software
        Research            Engineering
              β”‚                  β”‚
              β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β”‚
                       β–Ό
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
              β”‚ QA + Validation  β”‚
              β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β”‚
                       β–Ό
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
              β”‚ Production-Ready β”‚
              β”‚     System       β”‚
              β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ“Š GitHub Intelligence Dashboard

πŸ”₯ Contribution Streak

πŸ† GitHub Achievement Cabinet

⚑ Developer Progress β€’ Open Source β€’ Engineering Activity








🎯 GitHub Achievement Targets

🐍 Contribution Snake

GitHub Contribution Snake

🧠 What I'm Currently Building & Researching

πŸš€ Software Engineering

  • Enterprise microservice architectures
  • High-performance backend APIs
  • REST & GraphQL APIs
  • Distributed applications
  • Cloud-native deployments
  • CI/CD automation
  • Scalable database architectures
  • React Native applications
  • Hibernate / JPA persistence
  • Enterprise ASP.NET systems

πŸ€– AI & Patent Research

  • Generative AI
  • LLM integrations
  • Predictive ML systems
  • Advanced deep learning
  • Computer vision
  • Production ML pipelines
  • Patent-oriented software research
  • Prior-art analysis
  • Technical invention research
  • Experimental AI architectures

πŸ§ͺ Software Quality & Validation


Development
    β”‚
    β”œβ”€β”€ Unit Testing ─────────► JUnit
    β”‚
    β”œβ”€β”€ Mock Testing ─────────► Mockito
    β”‚
    β”œβ”€β”€ API Testing ──────────► Postman
    β”‚
    β”œβ”€β”€ Manual QA
    β”‚
    β”œβ”€β”€ Integration Testing
    β”‚
    └── Validation
            β”‚
            β–Ό
       Production Ready

🎯 Current Roadmap

Patent Research
      β”‚
      β”œβ”€β”€ Prior-Art Analysis
      β”œβ”€β”€ Technology Research
      β”œβ”€β”€ Technical Gap Analysis
      └── Patent-Oriented Engineering
                  β”‚
                  β–Ό
AI / ML
      β”‚
      β”œβ”€β”€ Generative AI
      β”œβ”€β”€ LLM Architecture
      β”œβ”€β”€ Deep Learning
      └── Production ML
                  β”‚
                  β–Ό
Software Architecture
      β”‚
      β”œβ”€β”€ Spring Boot
      β”œβ”€β”€ ASP.NET
      β”œβ”€β”€ Hibernate / JPA
      β”œβ”€β”€ REST / GraphQL
      β”œβ”€β”€ React Native
      β”œβ”€β”€ Microservices
      └── Distributed Systems
                  β”‚
                  β–Ό
Cloud Engineering
      β”‚
      β”œβ”€β”€ AWS
      β”œβ”€β”€ Docker
      β”œβ”€β”€ CI/CD
      └── Cloud Architecture
                  β”‚
                  β–Ό
Quality Engineering
      β”‚
      β”œβ”€β”€ Manual QA
      β”œβ”€β”€ JUnit
      β”œβ”€β”€ Mockito
      β”œβ”€β”€ Postman
      └── Integration Testing

πŸ’­ Engineering Philosophy

"Research discovers the possibility. Engineering turns it into reality."


I believe strong engineering is not simply about making software work.

It is about combining:

πŸ”¬ Research

🧠 Intelligence

βš™οΈ Architecture

πŸ§ͺ Validation

πŸš€ Production Engineering

to build systems that are:

Scalable β€’ Secure β€’ Maintainable β€’ Testable β€’ Intelligent β€’ Innovative β€’ Production-Ready

🀝 Let's Build Something Meaningful

AI β€’ Patent Research β€’ Prior-Art Analysis β€’ Software Architecture β€’ Full Stack β€’ Cloud






Mohammed Dilshad Naleem

AI/ML β€’ Patent Research β€’ Prior-Art Analysis β€’ Patent Software β€’ Architecture β€’ Full Stack β€’ Cloud


⚑ Building the future, one experiment, architecture and commit at a time.

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