Iftequar Uddin

Engineering graduate with practical experience in backend development, AI-powered data analytics, and software engineering workflows. Hands-on experience includes building Spring Boot microservices with Kafka integration, REST API development, database persistence, and GenAI-assisted data analysis for financial services use cases. Proficient in Python, Java, SQL, and modern web technologies, with project experience in AI automation platforms and application development.

Seeking entry-level opportunities to apply technical skills in real-world, high-impact environments.

Software Engineering Job Simulation at JP Morgan Chase & Co.

• Worked on backend microservices using Spring Boot and Apache Kafka to process high-volume transaction data
• Implemented REST APIs, database persistence with Spring Data JPA and H2, and integrated external services
• Focused on testing, debugging, and maintaining clean, reliable system architecture

Data Analytics & AI Job Simulation at Tata Group

• Applied AI-powered data analytics to financial services use cases by conducting exploratory data analysis and identifying risk indicators
• Designed a GenAI-assisted predictive modeling framework and proposed an ethical, AI-driven collections strategy aligned with regulatory standards

AI & ML Internship at GenZ Educate Wing

• Gained hands-on experience in Artificial Intelligence and Machine Learning through real-world projects
• Worked with Python for data preprocessing, model training, and evaluation
• Explored domains such as computer vision, natural language processing, and AI ethics in collaborative team environments

Bachelor of Engineering in B.E. – Methodist College of Engineering and Technology (2022-11 – 2026-07)