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AI Engineer with less than a year in backend engineering, real-time web applications, and LLM integr
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Third-year B.E. Computer Science student focused on backend engineering, AI automation, and real-time web applications. Experienced in building Node.js APIs, WebSocket-based systems, React/TypeScript interfaces, and LLM-integrated workflows. Multiple hackathon winner with hands-on projects in AI reception, productivity tools, and API integration.
Sai Vidya Institute of Technology, Bengaluru
B.E. · Computer Science - Data Science
August 1, 2023 – June 30, 2027
NextMIND Productivity Widget
October 1, 2025 – December 31, 2025
Developed a productivity widget using React, TypeScript, and Nextcloud REST APIs for task synchronization. Implemented bidirectional API integration to sync tasks between the widget and Nextcloud while handling update conflicts. Used Context API for state management and optimized UI rendering for smoother interaction across task views. Designed a clean component structure for task cards, filters, task updates, and user interaction flows. Worked with Git-based version control, basic testing, and iterative feature development during the project lifecycle. Won 1st Place at FOSS Fest 2025 National Hackathon among 70+ competing teams.
View ProjectClara - AI Voice Receptionist
September 1, 2025 – Present
Built a real-time AI receptionist using Node.js, WebSockets, STT/TTS pipelines, and LLM-based response handling. Designed persistent WebSocket communication to support low-latency voice interaction and smoother real-time user experience. Implemented event-driven request handling with queuing logic for active sessions and cleaner failure handling. Created an inquiry-routing engine to map user requests to the correct staff or department based on intent and context. Integrated prompt-based automation workflows for handling common receptionist queries and routing decisions. Won 1st Place at Mini Project Expo in the Smart Campus Analytics category.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in innovative solutions and a competitive spirit, aligning well with a culture that values innovation and achievement. The focus on AI and productivity tools suggests an alignment with forward-thinking and efficiency-driven environments. However, the lack of professional experience means there's no direct evidence of cultural adaptability in a corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong initiative, problem-solving abilities, and a results-oriented mindset, evidenced by multiple hackathon wins. The focus on real-time systems and user experience suggests an operational fit for roles requiring robust and responsive applications. However, without direct work experience, the ability to navigate complex team dynamics or corporate operational structures is unproven.