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Generative AI Engineer with less than a year in AI/ML and web development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.Tech student in Artificial Intelligence and Machine Learning with internship experience in Generative AI and hands-on expertise in web development. Skilled in Python, modern web technologies, with a strong foundation in problem-solving and building user-friendly, scalable solutions.
G H Raisoni College of Engineering and Management, Pune
Bachelor's Degree · Artificial Intelligence and Machine Learning
August 1, 2022 – Present
Mahatma Gandhi Junior College, Karjat
Class 12th
June 1, 2021 – May 31, 2022
Shree Ravishankar Vidyamandir, Karjat
Class 10th
June 1, 2019 – May 31, 2020
Sasken Technology Limited
Gen AI Intern
June 1, 2025 – July 1, 2025
India
AI Restaurant Assistant using Retrieval-Augmented Generation (RAG)
June 24, 2026 – Present
Developed a Retrieval-Augmented Generation (RAG) AI chatbot using LangChain, Ollama, and ChromaDB to answer restaurant-related queries from real customer reviews. Implemented semantic search with vector embeddings to retrieve relevant data and generate accurate, context-aware responses using a locally hosted LLM (Llama).
House Price Prediction
June 24, 2026 – Present
Built a House Price Prediction model using Python and XGBoost, with data preprocessing and feature analysis on the Boston Housing dataset. Performed EDA with correlation heatmaps and trained/tested the model using train-test split to evaluate accuracy using R2 score and MAE. Visualized performance with Actual vs Predicted plots to assess model reliability.
Cultural Fit Analysis
The candidate's academic background in AI/ML and project work align well with a Generative AI Engineer role. The projects demonstrate an interest in applying AI to practical problems (restaurant assistant, house price prediction, RAG QA bot). The internship at Sasken Technology Limited further solidifies this alignment. The breadth of technologies used (Python, various LLMs, vector DBs, web frameworks) indicates a willingness to learn and adapt. However, the experience is primarily academic and internship-level, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate lists problem-solving, leadership, communication, and time management as soft skills. The project descriptions are clear, indicating good communication in written form. The academic projects and internship show an ability to work on defined tasks and deliver functional prototypes. However, without direct interaction or psychometric test results, a deeper assessment of operational fit and soft skills like stress handling or team collaboration is not possible.