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Software Engineer with less than a year in MERN stack and AI/ML systems
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Software Engineer specializing in full-stack development and machine learning, building scalable web applications and AI-driven systems using MERN stack, Python, and TensorFlow. Experienced in developing real-time systems and RESTful APIs handling concurrent users and data-intensive workflows. Winner of TECHSPIRE 1.0 Hackathon for ClimaCare, an AI-powered waste management solution. Solved 235+ DSA problems on LeetCode with strong proficiency in algorithms, data structures, and backend system design.
GIFT Autonomous
B.Tech · Computer Science
N/A – Present
CTTC
AI & ML Intern
May 1, 2025 – July 1, 2025
Bhubaneshwar, Odisha, India
3 Skill
Web Developer Intern
May 1, 2025 – June 1, 2025
Bhubaneshwar, Odisha, India
ClimaCare – AI Waste Management
June 1, 2026 – Present
Designed CNN-based waste classification system (8+ classes) for automated image-based segregation. Implemented real-time monitoring and smart routing across 400+ dustbins to optimize collection efficiency. Processed 1,000+ user interactions with 100+ active users; Winner — TECHSPIRE 1.0 Hackathon (Best Business Idea).
View ProjectReal-Time Chat Application
June 1, 2026 – Present
Developed real-time chat system supporting 50+ concurrent users via WebSocket-based communication. Enabled authentication, multi-room messaging, and persistent storage using MongoDB. Deployed scalable full-stack application with responsive UI and robust backend architecture.
View ProjectResume Screener
June 1, 2026 – Present
Developed ML-based resume screening system processing 500+ resumes using NLP techniques. Achieved 85% accuracy and reduced manual screening effort by 60%.
View ProjectNPTEL Elite + Silver Industry 4.0 & IoT
IIT Kharagpur
June 1, 2026 – Present
NPTEL Elite + Silver Data Structures using Java
IIT Kharagpur
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI waste management, a real-time chat application, and a resume screener, indicates a broad interest in different technical domains. The internships in both Web Development and AI/ML suggest adaptability and a willingness to explore various roles. The participation in hackathons and competitive programming aligns with a culture that values continuous learning and problem-solving. However, the experience level is 0, indicating a fresh graduate profile, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a drive for innovation, as evidenced by winning a hackathon. The experience in developing real-time chat applications and AI-driven waste management systems suggests an ability to work on complex, multi-faceted projects. The psychometric test score of 379/500 suggests a reasonable aptitude for logical reasoning and work attitude, though specific details on stress handling and team collaboration are not provided.