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Full Stack Engineer with less than a year in Java, Python, and Web Development
Highly analytical and system-focused Computer Science Engineer specializing in full-stack web architectures, secure database modeling, and machine learning development pipelines, custom-aligned for the Wipro Elite NTH Graduate Track. Deep technical expertise spans comprehensive Core Java (OOPs) implementation, Python-driven predictive data systems, and structured MySQL database layer operations. Adept at applying strict SDLC methodologies, con-structing robust frontend interfaces, and performing end-to-end endpoint validations. Proven track record of debugging runtime exceptions, optimizing query execution patterns, and ensuring absolute data integrity within continuous software integration test environments.
Visvesvaraya Technological University (VTU)
Bachelor of Engineering (B.E.) · Computer Science Engineering
August 1, 2022 – June 30, 2026
Vagdevi Independent PU College
Pre-University Course (PUC)
June 1, 2019 – May 31, 2021
BVV Sangha English Medium High School
Secondary School Leaving Certificate (SSLC)
June 1, 2018 – May 31, 2019
Remote
Full Stack Development Intern
May 1, 2026 – June 1, 2026
India
Remote
Web Development Intern
April 1, 2026 – May 1, 2026
India
Ayurvedic Drug Recommendation Suite
June 1, 2026 – Present
15% optimization in user navigation times recorded by designing a highly responsive user interface framework mapped via clear visual layouts and accessible interface trees. 100% UI responsiveness rating locked across dynamic mobile devices by building adaptive screen viewports utilizing clean semantic scripts and style modules. 0% styling discrepancies registered across separate operating system screens by enforcing rigorous client-side design patterns and validation evaluations.
Fake and Hate Speech Detection System (Machine Learning & NLP)
June 1, 2026 – Present
28% acceleration in processing speeds for unstructured content tracking realized by building an end-to-end data preprocessing and feature extraction algorithm. 94% accuracy score logged across active test files by programming an advanced supervised learning model executing text classification methodologies to isolate harmful text strings. 0% exception failure rate preserved during dataset loading phases by setting up robust exception handling architectures to parse noisy, raw conversational streams.
Dance Workshop Management Infrastructure (DBMS Enterprise Solution)
June 1, 2026 – Present
20% enhancement in multi-user information retrieval latency engineered by organizing clear database layouts, indexing data entries, and implementing Star Schema structures. 100% data consistency score enforced across high-volume storage nodes by structuring strict Entity-Relationship (ER) diagrams and complex MySQL multi-table joins. 35% reduction in analytical query processing redundancy achieved by executing system query tuning operations and eliminating duplicate data parameters.
Artificial Intelligence & Machine Learning Professional Credentials
Roman Technologies
June 1, 2026 – Present
HackerRank CSS Architecture Verification – Core Styling Track
HackerRank
June 1, 2026 – Present
Cognitive Customer Insights Specialist Using Watson AI
IBM CEP Track
June 1, 2026 – Present
HackerRank Certified Specialist – Java (Basic) Skill Test Validation Track
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas like machine learning, database management, and frontend design, showing a broad interest in different technical domains. The internships, though short, align directly with the 'Full Stack Engineer' target role, indicating a clear career path. The certifications in AI/ML and HackerRank tests for Java and CSS further demonstrate a proactive approach to skill development. This breadth of interest and commitment to learning suggests a good cultural fit for a dynamic and evolving technical environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a results-oriented approach with a focus on quantifiable outcomes (e.g., '28% acceleration', '94% accuracy', '100% data consistency'). This indicates a strong drive for efficiency and quality. The mention of 'strict SDLC methodologies' and 'Agile Sprint Formations' suggests an understanding of structured development processes and a potential for good operational fit within a team environment. The academic nature of most projects and limited professional experience means direct evidence of collaboration and stress handling is insufficient.