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AI Engineer with less than a year in Data Structures & Algorithms, System Design, and full-stack MER
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AIML engineer with foundations in Data Structures & Algorithms, System Design, and full-stack MERN development. Experienced in building secure, scalable applications and RESTful APIs with authentication and role-based access control. Developed data-driven machine learning systems and applied data analysis, model training, evaluation, and LLM integration to deliver reliable, production-ready solutions.
Newton School of Technology, ADYPU, Pune
Bachelor of Engineering · AI ML
August 1, 2024 – June 30, 2028
Jawahar Navodaya Vidyalaya, Kadapa
Intermediate · Class XII
June 1, 2021 – May 31, 2023
Jawahar Navodaya Vidyalaya, Kadapa
Matriculation · Class X
June 1, 2019 – May 31, 2021
RAG Intelligent PDF Q&A
March 1, 2026 – Present
Built a full-stack NLP-based PDF QA system using RAG to generate answers strictly from uploaded documents. Developed and managed an end-to-end pipeline with PDF parsing, embeddings, and FAISS-based vector search. Improved information retrieval efficiency, enabling users to extract precise answers from large PDFs in seconds. Integrated LLM (Google Gemini) for answer generation with citations and chat memory. Designed a scalable FastAPI backend and an interactive frontend with multi-document support.
View ProjectChit Fund Management System
January 1, 2026 – Present
Developed a full-stack MERN application supporting 50+ members and 500+ transaction records, including installment tracking and chit lifecycle management. Architected 15+ RESTful API endpoints with a modular backend design for maintainability and scalability. Implemented JWT-based authentication with permission-controlled access to protected routes. Secured data handling and structured business logic using an OOP-oriented backend architecture.
View ProjectE-Commerce
October 1, 2025 – October 1, 2025
Built a MERN-based e-commerce platform supporting product browsing, cart management, and order tracking workflows. Designed an admin dashboard to manage 100+ products, user accounts, and order records. Integrated token-secured APIs and hashed password storage for secure user sessions. Optimized and handled backend queries and API response handling, reducing average response time by 25%. Implemented role-based access control to clearly separate admin and customer functionalities.
View ProjectFundamentals of AI
Deeplearning.AI
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical interests, from AI/ML applications (RAG system) to full-stack enterprise solutions (Chit Fund, E-commerce). This diversity, coupled with a strong academic background in AI ML, aligns well with an AI Engineer role that often requires both specialized AI knowledge and robust software engineering skills. The candidate's engagement with competitive programming platforms (CodeChef, Codeforces, Leetcode) suggests a proactive learning attitude and problem-solving drive, which are positive indicators for cultural fit in a dynamic tech environment. However, the lack of professional experience means cultural fit is primarily inferred from project types and self-learning initiatives.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions and manage various components of a system. The focus on modular design, scalability, and security suggests a structured and responsible approach to development. However, without direct interaction or psychometric test results, it's difficult to assess specific soft skills like teamwork, communication, or stress handling.