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AI Engineer with less than a year in GenAI & LLMs and Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven AI and Data Science Engineering student specializing in Generative AI and Large Language Models. Proficient in Python, LangChain, RAG, and various data tools. Developed impactful projects, including a RAG-Based Documentation Chatbot and an autonomous CLI Coding Agent. Eager to apply strong technical skills in AI/ML and data analysis to real-world challenges.
College of Technology and Engineering, Udaipur
B.Tech · AI and Data Science Engineering
August 1, 2023 – June 30, 2027
RAG-Based Documentation Chatbot
June 1, 2026 – Present
Built a Retrieval-Augmented Generation chatbot that answers questions from technical documentation by chunking source PDFs with LangChain's RecursiveCharacterTextSplitter and indexing embeddings (OpenAI text-embedding-3-large) in a Qdrant vector database. Engineered a FastAPI backend exposing both a REST endpoint and an interactive Gradio chat UI, retrieving top-matching context via similarity search and grounding LLM responses with cited page numbers and source file locations to reduce hallucination.
View ProjectCLI Coding Agent
June 1, 2026 – Present
Built an autonomous AI coding agent using Chain-of-Thought prompting that reasons through tasks via structured START → PLAN → TOOL → OBSERVE → OUTPUT steps before generating code or responses. Integrated real tool execution (file writing, shell commands, live weather API) with type-safe structured JSON outputs enforced using Pydantic and OpenAI's structured output API, enabling the agent to autonomously generate working frontend applications from natural language instructions.
View ProjectMovie Recommender System
June 1, 2026 – Present
Built a content-based Movie Recommender System using TF-IDF vectorization and cosine similarity on movie descriptions, genres, and keywords to deliver personalized suggestions. Processed and engineered features from large movie datasets using Pandas, NumPy, and Scikit-learn for data cleaning, feature extraction, and model building.
View ProjectSupervised Machine Learning: Regression and Classification
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate is currently pursuing a B.Tech in AI and Data Science Engineering and has completed academic projects. This aligns well with a learning and innovation-driven culture. The projects demonstrate initiative and a hands-on approach to AI development. However, the lack of professional experience and diverse project types (all academic) limits the assessment of broader cultural fit, such as adaptability to corporate environments or experience in cross-functional teams.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to break down complex problems (Chain-of-Thought prompting) and integrate various tools and APIs. The academic nature of projects suggests a learning-oriented individual. However, without direct work experience or psychometric test results, it's difficult to assess operational fit, stress handling, or team collaboration skills.