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Software Engineer with less than a year in Web Development (MERN stack) and AI/ML.
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Assessing your cultural and operational fit
Aspiring software engineer with a solid foundation in problem solving and a passion for learning new tools and technologies. Looking for an opportunity to apply skills in a real-world solution while growing both technically and professionally.
Yeshwantrao Chavan College of Engineering (YCCE), Nagpur
Bachelor of Technology · Computer Technology
August 1, 2022 – June 30, 2026
Govind Junior College, Palandur
HSC
June 1, 2021 – May 31, 2022
Hyacinth Little Flower High School, Lakhani
SSC
June 1, 2019 – May 31, 2020
DeskstopAIAgent - Voice-Based desktop Automation System
January 1, 2024 – June 1, 2026
Developed a continuous voice-controlled Windows automation agent using Python, PySide6, and Gemini API, enabling autonomous execution of multi-step desktop operations. Designed a JSON-driven command engine with context retention and self-planned task workflows, supporting application control, file management, and GUI interaction. Implemented real-time speech recognition with a thread-safe UI feedback system, providing live transcription, status updates, and automated error handling.
View ProjectSvadhyaya - AI-Powered Project Recommender & Tracker
January 1, 2024 – June 1, 2026
Built an AI-powered system that transforms educational topics or video lectures into personalized DIY projects based on learner skill level using Gemini API. Added a Project Workspace to manage multiple projects, track task-level progress, and support structured GitHub-based project evaluation. Integrated guided templates and hints to help learners confidently start and complete projects across coding, hardware, research, and design domains. Designed a scalable full-stack architecture using React and Node.js, enabling modular development and seamless user experience.
View ProjectMadat - Voice-Based Emergency Reporting System
January 1, 2024 – June 1, 2026
Developed a web platform enabling users to report emergencies by recording voice messages in regional languages via a push-to-talk interface, with automatic location sharing to assist emergency responders. Integrated Bhashini APIs for real-time speech-to-text transcription and translation, making messages understandable to emergency response officers. Designed a decision-support dashboard for officers to view translated messages and dispatch appropriate services (police, ambulance, firefighter) accordingly.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a strong inclination towards innovative solutions, particularly in areas like AI-powered systems and emergency response, which aligns with a culture of innovation. Participation in hackathons and competitive programming suggests a proactive, challenge-driven mindset. The diversity of projects (web, desktop automation, AI recommendation) indicates adaptability and a broad interest in different technical domains. However, the lack of professional experience means cultural fit is primarily assessed through academic and personal project alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. Participation in hackathons and competitive programming implies a drive for continuous improvement and resilience. The focus on user-centric design in projects like 'Madat' and 'Svadhyaya' suggests an understanding of practical application and user experience. However, without direct interview data, assessment of communication, teamwork, and stress handling is limited to inferences from project descriptions.