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AI Engineer with 1+ years in AI Agents & LLM Workflows
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-focused Software Engineer (2023 graduate) with strong backend and full-stack experience, now specializing in AI agents, LLM workflows, and production-ready automation systems. Passionate about building real-world AI solutions beyond demos.
QIS Institute of Technology
B.Tech IT · Information Technology
August 1, 2019 – June 30, 2023
Pearl Thoughts
Full-Stack Developer Intern
May 1, 2025 – August 31, 2025
India
NullClass
Web Developer Intern
December 1, 2024 – April 30, 2025
India
Doctor Appointment System
June 24, 2026 – Present
Full-stack system for booking and managing appointments
Whiteboard Application
June 24, 2026 – Present
Real-time collaborative drawing platform
YouTube Clone
June 24, 2026 – Present
Video platform with subscriptions and chat features Integrated payment system using Razorpay
Pothole Detection System
June 24, 2026 – Present
CNN-based model for pothole detection
Cultural Fit Analysis
The candidate shows a strong interest in AI and full-stack development, aligning with roles requiring both application development and AI integration. The diversity of personal projects (YouTube Clone, Whiteboard App, Pothole Detection, Doctor Appointment System) indicates a broad interest in technology and a willingness to explore different domains. The self-directed learning in AI engineering development suggests a proactive and growth-oriented mindset, which is generally a good cultural fit for innovative teams. However, the lack of collaborative project details or team-based experience makes it difficult to fully assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges. The 'AI Engineering Development' section suggests a proactive learning attitude towards emerging AI technologies. However, without specific behavioral assessment data, a detailed evaluation of soft skills like teamwork, problem-solving under pressure, or communication style is not possible.