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Fullstack Engineer with less than a year in Python, Java, AI/ML & Data Analytics.
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Assessing your cultural and operational fit
Full Stack Developer & AI/ML enthusiast with hands-on experience in Python, Java, Spring Boot, REST APIs, and data analytics. Built end-to-end applications integrating AI features using IBM ML/DL frameworks and worked with OpenAI-style APIs. Experienced with Docker, Git, SQL/NoSQL databases, and cloud deployment (AWS/Heroku). Eager to ship AI-powered products from concept to production in a fast-paced startup environment.
Vikash Polytechnic
Diploma · Computer Science & Engineering
August 1, 2019 – June 30, 2022
Krishna's Vikash Institute of Technology
B.Tech · Computer Science
N/A – June 30, 2025
Shri Bajrang Power & Ispat
Data Analyst Intern
November 1, 2025 – January 1, 2026
India
Blog Application - Full Stack AI-Ready Web App
January 1, 2025 – Present
• Built end-to-end using Spring Boot (backend REST APIs), Thymeleaf/HTML5/CSS3 (frontend), MySQL (SQL), and Spring Security (JWT-based auth) – complete full-stack ownership. • Architected with microservices principles, Docker containerisation, and deployed on AWS/Heroku with CI/CD via GitHub; demonstrates cloud-native production deployment. • Designed scalable DB schema with JPA relationships (One-to-Many, Many-to-Many), custom JPQL queries, and pagination – ready for AI feature integration layer (auto-summarisation, smart tagging).
Sales Data Analysis AI/ML Pipeline
January 1, 2025 – Present
• Designed and executed an end-to-end ML data pipeline: data ingestion → cleaning (Pandas) → EDA → model training (scikit-learn) → performance evaluation and insight reporting. • Applied NLP-adjacent text classification concepts and statistical analysis to identify sales trends and category performance – foundational work for recommendation engine logic.
Machine Learning with Python V2
IBM
June 1, 2026 – Present
Deep Learning & Neural Networks with Keras
IBM
June 1, 2026 – Present
GenAI Data Analytics
TATA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including both full-stack web development and AI/ML data pipelines, indicates a broad interest in technology and adaptability. The pursuit of certifications in cutting-edge areas like GenAI and Deep Learning suggests a growth mindset, which is a strong cultural fit for innovative environments. The target role of 'Fullstack Engineer' aligns well with the candidate's demonstrated skills in both backend and frontend technologies, as well as their interest in integrating AI features.
Soft Skills & Operational Fit
The candidate demonstrates a proactive and self-driven attitude through personal projects and certifications. The detailed project descriptions suggest good problem-solving skills and an ability to take end-to-end ownership. The internship experience highlights an ability to contribute to operational efficiency and data-driven decision-making. However, without direct interview data, assessment of collaboration and stress handling is limited.