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Fullstack Engineer with 1+ years in AI/ML & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-Stack Software Developer creating AI-native products that leverage Generative AI and scalable web systems. Builds production-ready solutions with efficient backend performance, microservices, and innovative AI workflows to solve real-world problems and improve user experiences.
Parala Maharaja Engineering College
Bachelor of Technology · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Nexus Infotech
Full-Stack Software Developer Intern
February 1, 2025 – Present
Brahmapur, Odisha, India
Indian Railways
Web Developer Intern
June 1, 2024 – July 31, 2024
Bhubaneshwar, Odisha, India
DevCollab - Developer Collaboration Platform
June 10, 2026 – Present
• Engineered an AI-powered platform matching developers by skills, projects, and experience, boosting connection success rate by 65%+. • Designed AI-driven feedback, code quality insights, security audits, and skill-growth suggestions, enhancing productivity for 75%+ active users. • Coordinated real-time collaboration with multi-model AI routing, caching, and fallback logic, cutting AI response errors by 35% and maintaining sub-100ms message latency.
QuickBill - Billing Management System
June 10, 2026 – Present
• Architected a full-stack billing platform enabling invoicing, customer management, sales tracking, and real-time stock monitoring. • Developed interactive analytics dashboards and custom reports, enhancing decision-making and revenue visibility. • Automated invoice generation, payment tracking, and stock alerts, reducing manual errors and operational overhead by 40%.
Batchflow - Production Management System
June 10, 2026 – Present
• Devised a full-stack platform managing end-to-end production workflows, including raw materials, batch creation, and inventory tracking. • Implemented employee training, onboarding, and audit modules with real-time reporting, reducing onboarding time by 30% and manual oversight by 40%.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse range of applications, from developer collaboration platforms to billing and production management systems, indicating adaptability and a broad interest in different problem domains. The inclusion of AI/ML in projects aligns with forward-thinking and innovative team cultures. The internship experience, though limited in duration, shows engagement in real-world development environments. The candidate's profile suggests a proactive learner eager to apply new technologies, which would fit well into a dynamic and growth-oriented team.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving abilities, particularly in optimizing processes and enhancing user experience. The focus on reducing errors, improving efficiency, and achieving high availability suggests a detail-oriented and results-driven approach. The AI-powered projects indicate an innovative mindset and willingness to explore emerging technologies. However, without direct interaction or psychometric test results, a comprehensive assessment of soft skills like teamwork, leadership, and stress handling is limited.