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AI Engineer with less than a year in Python Full Stack development and AI-powered automation.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Python Full Stack & AI Developer specializing in backend systems and AI-powered automation. Experienced in developing scalable web applications, APIs, and RAG-based solutions using Django and FastAPI and modern web technologies. Built AI agents and automation workflows through real-world projects and internship experience. Passionate about creating efficient, scalable systems that solve practical business problems.
Calicut University
Bachelor of Business Administration (BBA)
August 1, 2023 – June 30, 2026
BrandsTrek Coders
Python Developer Intern
December 1, 2025 – Present
India
AI Resume Analyzer (ATS Optimization Tool)
June 27, 2026 – Present
Built an AI resume analyser using FastAPI and LLMs to match resumes with job descriptions and generate ATS optimization insights (LangChain, PyMuPDF, React).
Mentor Slot Booking System
June 27, 2026 – Present
Built a Django-based backend system for mentorship slot scheduling with authentication, booking logic, and email notifications using Celery and Redis.
AI Document Assistant (RAG)
June 27, 2026 – Present
Developed a RAG-based AI assistant using FastAPI and LLMs to answer queries from documents via semantic search and retrieval (FAISS).
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying AI technologies, which aligns with an innovative and growth-oriented culture. The diversity of projects (booking system, resume analyzer, document assistant) shows a breadth of interest in applying technical skills to different problem domains. The internship experience indicates an ability to work in a team and contribute to backend feature development, suggesting a collaborative fit. However, the candidate's education in Business Administration rather than a technical field might require additional context regarding their self-driven learning and foundational computer science knowledge.
Soft Skills & Operational Fit
The candidate lists problem-solving, teamwork, and time management as soft skills. Their internship experience mentions collaboration and participation in code reviews within an Agile environment, which supports operational fit. However, without specific examples or further assessment, the depth of these soft skills cannot be fully evaluated.