As a Software Engineer with a strong background in backend development and data engineering, I thrive on creating solutions that streamline processes, reduce operational costs, and enhance performance. Currently contributing as an SDE at Societe Generale, I focus on optimizing backend systems using Java, Spring Boot, and Python, achieving up to a 70% reduction in application usage time and significantly lowering storage costs. My prior experience includes building scalable data pipelines to handle over 1.2 billion data points, using tools like PySpark and Ansible. Skills & Expertise: Backend Development | Java | Python | Spring Boot | Flask | Django | Data Engineering | PySpark | DevOps | CI/CD Automation | Machine Learning | AI | Cloud Technologies (AWS) In addition to my professional work, my projects in AI and predictive maintenance have yielded 95% accuracy in real-time classification tasks, reflecting my ability to leverage machine learning for practical, high-impact applications. My research on relation extraction in low-resource languages has achieved remarkable accuracy, a testament to my commitment to advancing inclusive technologies. Key Achievements: Increased Efficiency: Reduced application usage time by 70% through templated extraction processes; lowered storage costs by 23%. Award-Winning Engineer: Recognized with “Star of the Quarter” at Societe Generale and ranked in the top 300 globally in Google’s Hash Code 2021. Continuous Learning: CFA Level 1 passed, IIT Kharagpur graduate in Industrial & Systems Engineering with minors in AI and Mathematics. With a passion for complex problem-solving and continuous innovation, I am eager to bring my expertise in backend engineering and data systems for various domains. I welcome connections and am open to discussions.