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Software Developer with less than a year in Full-stack Development, AI, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate with hands-on experience in full-stack development (React, Spring Boot, Flask) and AI integration. Built a secure e-voting system with facial recognition + OCR verification and currently developing an advanced AI assistant (Pluto) using Python, LLama3, and system automation. Seeking an SDE or Software Engineering role to design and build innovative products with intelligent, scalable solutions.
Netaji Subhash Engineering College
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Saroj Mohan Institute of Technology
Bachelor of Computer Applications (BCA)
August 1, 2019 – June 30, 2022
Pluto AI Assistant
July 1, 2025 – June 30, 2026
Developing a modular AI-powered personal assistant in Python with LLama3 integration for dynamic voice interaction, system automation, vision, and context-aware behavior. Integrated LLama3 for natural conversation flow with real-time speech I/O. Enabled OS-level controls (lock, open apps, shutdown) using Python modules. Designed multithreaded architecture to manage simultaneous listening/speaking. In progress: memory module, face & object vision via OpenCV, smart command mapping.
E-Voting System
March 1, 2025 – June 1, 2025
Developed a fullstack e-voting system using React, Spring Boot, MySQL, and Flask microservices, enabling secure voting with facial recognition and OCR-based ID verification. Implemented secure voter registration with live webcam photo capture and face authentication. Used Deep Face for facial matching and Easy OCR for voter ID text verification. Enforced one-vote-per-person and election time restrictions to maintain election integrity. Built an Admin Dashboard for managing voters, candidates, election scheduling, and real-time vote audit logs.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in innovative and technically challenging areas, particularly AI and full-stack development. The academic and personal projects show initiative and a drive to learn and apply new technologies. However, the lack of professional experience and diverse project types (e.g., open-source contributions, team projects beyond academic settings) limits the assessment of cultural fit for a collaborative, fast-paced industry role. The focus on individual projects might suggest a preference for independent work, which may or may not align with team-oriented environments.
Soft Skills & Operational Fit
The candidate's project descriptions suggest strong problem-solving skills and an ability to work on complex, multi-faceted systems. The development of an AI assistant with multithreading indicates an understanding of concurrent programming and system design. However, without direct work experience or psychometric test results, it's difficult to assess team collaboration, stress handling, or communication clarity in a professional setting.