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Fullstack Engineer with less than a year in MERN Stack & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Information Science and Engineering student at SIR M.VIT and Full-Stack AI Developer building scalable, AI-driven applications with the MERN stack and Python. Proficient in integrating Generative AI, optimizing inference latency, and architecting real-time data pipelines.
Sir M. Visvesvaraya Institute of Technology, Bengaluru
B.E. · Information Science and Engineering
August 1, 2022 – June 30, 2026
CBSE
Class XII
June 1, 2021 – May 31, 2021
MindMatrix
Android Developer Intern
February 1, 2026 – Present
India
FinDash – Financial Analytics & Data Visualization
June 1, 2025 – June 1, 2026
• Designed and implemented a responsive data visualization platform to handle complex financial metrics with high-efficiency rendering and seamless interaction transitions. • Automated data aggregation pipelines and EDA workflows, reducing manual processing time by 80%. • Optimized front-end performance via code-splitting, achieving a sub-1.2s FCP and 15% faster load times. • Built modular backend structures for financial datasets, improving query scalability by 25%.
View ProjectNeuraChat – AI Conversational Assistant
January 1, 2025 – June 1, 2026
• Engineered a MERN-stack AI platform achieving 200ms lower latency through optimized API handling. • Integrated Generative AI APIs with robust error-handling, maintaining 99.5% uptime for chat workflows. • Implemented secure JWT-based authentication and optimized state management to maintain seamless performance for multiple concurrent active sessions. • Designed a responsive Tailwind UI that boosted mobile user retention and accessibility by 20%.
View ProjectIntroduction to Data Science
Cisco Networking Academy
January 1, 2025 – Present
Career Edge: Young Professional
TCS ION
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity (financial analytics, AI conversational assistant) and internship in Android development suggest adaptability and a broad interest in different technical domains. The focus on AI-driven applications aligns well with innovative and forward-thinking team environments. However, as a final-year student with limited professional experience, the depth of cultural fit cannot be fully assessed without direct interaction.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and project execution, as evidenced by personal projects and certifications. The descriptions highlight problem-solving skills (reducing crash rates, optimizing latency) and a focus on user experience (responsive UI, personalized content). However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.