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AI Engineer with less than a year in AI-powered application development, RAG & Full-stack deployment
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate with a strong foundation in Artificial Intelligence, Machine Learning, Generative AI, and Natural Language Processing. Experienced in building AI-powered applications using Python, FastAPI, FAISS, and React.js. Skilled in Retrieval-Augmented Generation (RAG), semantic search, and full-stack deployment of intelligent systems. Passionate about applying AI to solve real-world problems through scalable and user-centric solutions.
Rajiv Gandhi University of Knowledge and Technologies
Bachelor of Technology · Computer Science
January 1, 2023 – January 1, 2027
Rajiv Gandhi University of Knowledge and Technologies
Intermediate
January 1, 2021 – January 1, 2023
TechBuggy
Full-Stack Developer Intern
November 1, 2025 – April 1, 2026
India
Online Quran Website
November 1, 2025 – April 1, 2026
Developed a Quran learning platform with intuitive navigation and a responsive user interface. Built backend functionality using Node.js and MongoDB for efficient content management and retrieval. Collaborated with the TechBuggy team to improve platform performance, usability, and accessibility.
Legal Document Analyzer
January 1, 2023 – June 1, 2026
Built an AI-powered legal analysis system capable of document summarization, clause classification, and risk assessment using LLM-based workflows. Implemented Retrieval-Augmented Generation (RAG) with FAISS vector indexing to enable accurate contextual question answering across large legal documents. Optimized document chunking and vector embedding pipelines to improve retrieval accuracy and response quality.
Spend Wise AI Financial Analysis Platform
January 1, 2023 – June 1, 2026
Built an AI-powered financial analytics dashboard to track expenses and generate insights for improved budgeting decisions. Developed FastAPI-based backend services for managing financial transactions, user data, and AI-generated summaries. Integrated Generative AI to generate concise summaries of users' financial transactions and spending activities.
Ranked in the Top 2% in NPTEL Deep Learning with a score of 90%.
NPTEL
June 1, 2026 – Present
Earned the 100 Days of Code badge on LeetCode.
LeetCode
June 1, 2026 – Present
Achieved Gold Badge in HackerRank for problem solving.
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in applying AI to various domains (legal, finance) and full-stack development. The academic and professional projects show initiative and a willingness to learn and apply new technologies. The internship experience indicates an ability to collaborate within a team. The certifications (NPTEL, LeetCode, HackerRank) suggest a proactive and self-driven learning attitude, which aligns well with a culture of continuous improvement and problem-solving.
Soft Skills & Operational Fit
The candidate lists communication, leadership, team collaboration, and time management as soft skills. Project descriptions indicate collaboration (Online Quran Website) and independent development. However, without specific assessment data, the operational fit and depth of these soft skills cannot be fully evaluated.