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AI Engineer with less than a year in Python & RAG Systems
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer / Backend Developer with hands-on experience in building RAG-based AI systems and scalable backend applications using Python (FastAPI, Flask). Proficient in developing REST APIs, integrating LLMs, and working with databases. Experienced in deploying applications on AWS and using Docker and CI/CD. Focused on building efficient, scalable, and production-ready solutions.
Parul University
B.Tech · Computer Science (Big Data Analytics)
August 1, 2022 – June 30, 2026
Teachnook
Web Development Intern
January 1, 2024 – March 1, 2024
Vadodara, Gujarat, India
Agentic RAG AI Application
June 25, 2026 – Present
Developed an RAG-based AI system using Python, FastAPI, and LangChain for intelligent query processing. Integrated LLMs with FAISS vector database to enable semantic search and context-aware responses. Implemented multi-agent workflows using LangGraph to automate decision-making tasks. Deployed scalable REST APIs on AWS (EC2, S3) using Docker.
View ProjectB2B E-Commerce Platform (React.js)
June 25, 2026 – Present
Built a React.js SPA with Redux for efficient state management. Implemented product filtering, sorting, and pagination to enhance user experience. Optimized performance and deployed on Vercel, improving load time by 30%.
View ProjectPremiere Shoe Billing & E-Commerce System (MERN)
June 25, 2026 – Present
Developed a MERN stack application with JWT authentication and RBAC. Designed REST APIs for billing, inventory, and order management. Automated invoice generation (PDF) and reporting, improving efficiency by 40%.
View ProjectMulti-User Footwear Billing System (Flask)
June 25, 2026 – Present
Built a Flask-based backend with multi-user access control. Integrated MySQL database and secure authentication system. Reduced manual billing effort by 40% through automation.
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, ranging from AI applications to e-commerce platforms, showcasing a broad interest and ability to work across different domains. The 'Agentic RAG AI Application' project directly aligns with the target AI Engineer role, demonstrating a clear passion and foundational skill set in the field. The other projects, while not directly AI-focused, show strong backend and frontend development capabilities, which are valuable for a well-rounded engineer. The candidate is currently pursuing a B.Tech in Computer Science (Big Data Analytics), which further supports a cultural fit for data-intensive and AI-focused roles.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse projects, suggesting adaptability. The internship experience mentions working in Agile Git-based workflows, which points to an understanding of collaborative development practices. However, without direct assessment data, a comprehensive evaluation of soft skills like teamwork, problem-solving under pressure, or communication style is limited.