Mohammed Salmaan

As a Software Developer on the ATS project at W3 Global, I contributed to the design, development, and optimization of a scalable and high-performance applicant tracking system. The project aimed to enhance recruitment and talent management by integrating advanced data processing and automation techniques.

ROLES & RESPONSIBILITIES:

• Developed and maintained backend services using Python and Java, ensuring optimal system performance and security.
• Designed and deployed RESTful APIs with Flask and Django to support CRUD operations.
• Integrated Machine Learning models to enhance applicant ranking and job matching.
• Managed data storage and retrieval using MySQL and Elasticsearch for efficient querying.
• Collaborated with cross-functional teams in an Agile environment to ensure timely project delivery.
• Implemented cloud-based deployment using AWS and Docker for containerization.

TOOLS & TECHNOLOGIES:
Python, Java, Flask, Django, Machine Learning, Pandas, NumPy, MySQL, Elasticsearch, AWS, Docker, REST APIs, GitHub, JIRA.

Developed a healthcare analytics platform that utilizes AI to analyze patient data, predict health risks, and optimize appointment management. The system securely integrates patient records, insurance databases, and predictive analytics to improve healthcare efficiency.

ROLES & RESPONSIBILITIES:

• Built and optimized machine learning models using TensorFlow and Scikit-learn to predict patient health risks.
• Developed and deployed RESTful APIs using Flask and FastAPI for seamless data integration.
• Designed microservices architecture for modular and scalable development.
• Ensured data security with JWT-based authentication and role-based access control.
• Conducted API testing and performance optimization using Postman and JUnit.

TOOLS & TECHNOLOGIES:
Python, Flask, FastAPI, Machine Learning, TensorFlow, Scikit-learn, JWT, MySQL, Docker, Elasticsearch, JIRA.

Contributed to the development of an AI-driven business performance management platform that helps organizations set, track, and optimize OKRs (Objectives and Key Results). The system integrates predictive analytics and intelligent summarization for enhanced decision-making.

ROLES & RESPONSIBILITIES:

• Developed and deployed scalable microservices using Python (FastAPI) and Java (Spring Boot).
• Integrated ChatGPT API and custom NLP models for automated summarization and OKR suggestions.
• Designed and implemented Elasticsearch-based data indexing for real-time performance tracking.
• Built interactive front-end components with Angular and JavaScript for an enhanced user experience.
• Managed cloud deployment and monitoring with AWS and GCP tools.

TOOLS & TECHNOLOGIES:
Python, Java, Spring Boot, FastAPI, NLP, OpenAI APIs, Elasticsearch, Angular, Docker, AWS, GCP Monitoring Tools, JIRA.