A.SARAVAN
Fullstack EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fullstack Engineer with less than a year in Python, React, and Web Development
Entry-level Web Developer with hands-on experience supporting email marketing and digital campaign platforms. Experienced in building and maintaining responsive web pages and internal tools using HTML, CSS, JavaScript, React, and Python. Strong foundation in frontend-backend integration, REST API fundamentals, data handling, debugging, and modular code structure. Passionate about writing clean code, problem-solving, and continuous learning.
AAA College of Engineering & Technology
Bachelor of Engineering (B.E) · Computer Science and Engineering
August 1, 2021 – June 30, 2025
SBK International School
Higher Secondary (12th Grade)
N/A – Present
Chandra National School
Secondary School (10th Grade)
N/A – Present
Software Engineer Trainee - Webberax Solutions
Software Engineer Trainee
September 1, 2025 – June 1, 2026
India
Artificial Intelligence Intern – Novi Tech R&D Pvt. Ltd.
Artificial Intelligence Intern
September 1, 2025 – June 1, 2026
India
Full stack Python Intern – POFI Technologies
Full stack Python Intern
September 1, 2025 – June 1, 2026
India
AI-Based Petition Monitoring System
January 1, 2025 – December 31, 2025
Developed a full-stack web application for digital petition management using Python, FastAPI, React.js, and Tailwind CSS. Designed and implemented RESTful APIs for frontend-backend communication and data handling. Implemented user authentication and role-based access control with server-side data validation. Applied machine learning techniques for sentiment analysis using Python libraries to analyze petition text and prioritize requests. Integrated OCR tools to extract text from scanned documents and convert them into structured digital data. Implemented features for petition status tracking, notifications, and basic analytics dashboards.
LLM-Based HR Policy Chatbot
January 1, 2025 – December 31, 2025
Designed and developed an LLM-based chatbot to answer HR policy and employee-related queries. Implemented backend logic in Python to process user queries and retrieve relevant policy information. Integrated Large Language Models with structured HR documents to generate context-aware responses. Applied prompt engineering techniques to improve response accuracy and relevance. Implemented role-based access and basic input validation to ensure controlled usage. Logged user interactions and chatbot responses for analysis and future improvements. Built RESTful APIs to connect the chatbot interface with backend services. Performed testing and debugging to ensure reliable chatbot responses and system stability.
Cultural Fit Analysis
The candidate's projects and internships show a diverse interest in web development, AI/ML, and full-stack roles, which aligns with a dynamic and innovative work environment. The focus on learning and problem-solving indicates a positive attitude towards growth. However, all experience is at an intern or trainee level, and the projects are personal, which might limit exposure to complex team dynamics, large-scale systems, and diverse stakeholder interactions typically found in senior roles. The breadth of skills is good for an entry-level candidate, but depth in specific areas for a senior role is yet to be proven.
Soft Skills & Operational Fit
The candidate demonstrates a passion for problem-solving and continuous learning, as stated in the professional summary. Project descriptions indicate an ability to work on full-stack applications, integrate various components, and handle data processing. The internship experiences suggest an ability to collaborate within a development team and contribute to real-world applications. However, the candidate is still entry-level, and the operational fit for a senior role would require significant mentorship and growth.