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Software Engineer with less than a year in Full-Stack, Data Engineering & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated MCA graduate with internship experience at HashedIn by Deloitte, skilled in Java, Spring Boot, Angular, and MySQL. Passionate about building scalable full-stack applications and eager to learn new technologies to contribute to impactful software solutions.
M.Kumarasamy College of Engineering
Master of Computer Applications · Computer Applications
August 1, 2023 – June 30, 2025
Government Arts and Science College - Karur
B.Sc Computer Science · Computer Science
August 1, 2020 – June 30, 2023
HashedIn by Deloitte
Software Engineer Trainee
July 1, 2025 – September 1, 2025
India
Project & Task Management
June 28, 2026 – Present
Built a secure task management platform with role-based access using Spring Boot and Angular. Implemented JWT authentication, REST APIs, and MySQL integration to manage projects, assign tasks, and track team progress effectively.
Movie Rating Pipeline – Data Engineering Project
June 28, 2026 – Present
Built an end-to-end data pipeline using Kafka for ingestion and Spark for distributed batch and streaming processing. Implemented data cleaning, transformation, and parameterized Spark jobs to generate ready-to-use CSV outputs and analytical reports with low latency.
AI Resume Builder & Reviewer – Generative AI App
June 28, 2026 – Present
Developed an AI-powered application that generates professional resumes and provides automated review feedback. Integrated GPT-based models for content generation, scoring, and improvement suggestions, with a Streamlit UI for real-time, user-friendly resume creation.
Crash Course on Python
June 1, 2026 – Present
Programming in Java from IIT Kharagpur with a score of 73 (Elite)
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experience demonstrate a willingness to explore various technologies (full-stack, data engineering, AI) which aligns with a culture of continuous learning and adaptability. The focus on building functional applications suggests a results-oriented mindset. However, the limited professional experience means cultural fit is primarily inferred from project diversity and stated interests.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges. The internship experience suggests exposure to enterprise-level projects and collaboration. However, without specific behavioral assessment data, it's difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication in a professional setting.