Software Engineer with less than a year in Data Analytics & AI/ML
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Highly motivated and results-oriented B.Tech candidate specializing in Artificial Intelligence and Data Science, with a solid foundation in Java, Python, SQL, and JavaScript. I possess practical experience in full-stack development, machine learning, and data analytics, as demonstrated through an internship at Syngenta and various technical projects. Proven ability to collaborate in Agile environments, write clean code, and drive projects from design to deployment, consistently applying OOP and SOLID principles. Recognized for academic excellence and leadership in technical communities, eager to contribute innovative solutions to complex challenges.
MIT World Peace University
B.Tech · Computer Science Engineering
N/A – June 30, 2026
Syngenta
Data Analytics Intern
July 1, 2025 – November 1, 2025
Pune, Maharashtra, India
Resume Intelligence Platform
January 1, 2024 – June 1, 2026
Developed and maintained a full-stack software application using Java and Python, applying clean OOP design, SOLID principles, and modular architecture throughout. Collaborated with stakeholders to design, implement, and deploy scalable backend services with REST API endpoints following best practices. Participated in code review workflows maintaining high code quality and readability across all service components. Troubleshot and debugged complex integration issues across frontend, backend, and database layers to ensure system reliability. Documented technical specifications, API references, and user guides supporting maintainability and team knowledge sharing. Managed full version control using Git with structured branching, commit discipline, and CI/CD automation via GitHub Actions
View ProjectJava Spring Boot Application
January 1, 2024 – June 1, 2026
Developed a Java backend application applying core Java fundamentals, OOP design patterns, and Spring Boot architectural principles. Wrote clean, efficient, and maintainable Java code with unit test coverage and full Git version control discipline throughout. Collaborated with cross-functional team members to implement features, participate in code reviews, and contribute to architectural decisions. Troubleshot and debugged application issues systematically, documenting root causes and resolution steps clearly.
View ProjectHallucination Detection System
January 1, 2024 – June 1, 2026
Developed and maintained a production software system applying clean code principles, OOP design, and modular architecture in a collaborative Agile environment. Wrote technical specifications, system documentation, and user guides ensuring full transparency and future maintainability.
Google MLOps Professional Certificate
June 1, 2026 – Present
IBM Generative AI Fundamentals
IBM
June 1, 2026 – Present
IBM Data Fundamentals
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a 'Resume Intelligence Platform' and 'Hallucination Detection System' with AI/ML components, shows an interest in innovative and challenging areas. Their involvement in leadership roles and academic achievements indicates a proactive and driven personality. The focus on clean code, SOLID principles, and collaborative development aligns well with a culture that values quality and teamwork. However, the experience level is low, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills through participation in code reviews and cross-functional team interactions. Their experience in documenting technical specifications and user guides indicates attention to detail and a proactive approach to knowledge sharing. The leadership experience as 'Creatives Head and Member of Advisory Board' suggests organizational and team management capabilities, which are valuable for operational fit.