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Full Stack Engineer - AI with less than a year in Backend Systems & API Design
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 developer specializing in backend systems, API design, and AI-integrated applications. Experienced in building scalable workflows, handling real-time requests, and designing modular architectures. Strong foundation in data structures, problem-solving, and building production-ready applications.
LDRP Institute of Technology and Research
B.E. · Computer Engineering
August 1, 2022 – June 30, 2026
N.M. Nootan Sarva Vidyalaya, Visnagar
Higher Secondary (GHSEB)
N/A – May 31, 2022
AI Specification Generator
December 1, 2025 – January 31, 2026
Built system to convert unstructured product requirements into structured technical specifications. Developed REST APIs with average response time under 2 seconds. Tested backend with 200+ API requests across multiple workflows. Generated structured outputs including APIs, database schema, and feature modules. Implemented modular backend design for scalable feature expansion. Deployed application on Vercel for real-time usage.
ProcessPilot AI
July 1, 2025 – November 30, 2025
Built workflow automation system for email drafting, reminders, and scheduling. Designed modular backend architecture for workflow execution and API orchestration. Integrated Gmail and Google Calendar APIs for multi-step automation. Tested system with concurrent API requests across workflows. Implemented reusable service layer for handling multiple automation pipelines.
Agrivista
March 1, 2024 – June 30, 2024
Developed machine learning system for crop prediction and yield estimation. Trained models on dataset of 5000+ agricultural records. Built interface for data input and visualization of predictions. Enabled data-driven decision support for agricultural planning. Optimized model pipeline for faster prediction and efficient data processing.
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative, a strong interest in AI/ML, and a proactive approach to learning and applying new technologies. The diversity of projects (workflow automation, specification generation, agricultural prediction) shows a broad interest in applying technology to different domains. The alignment with the 'Full Stack AI' role is strong due to the consistent integration of AI in projects. However, the lack of team-based projects or professional experience makes it challenging to assess collaboration and cultural adaptability in a corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, design modular systems, and test applications, suggesting good problem-solving and attention to detail. The focus on building production-ready applications implies a results-oriented approach. However, without direct work experience or psychometric test results, it's difficult to fully assess collaboration, stress handling, or broader operational fit.