AI Engineer with less than a year in Generative AI, RAG, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Developer with hands-on experience in building Generative AI applications using FastAPI, LangChain, and Retrieval-Augmented Generation (RAG). Skilled in integrating Large Language Models (LLMs) from OpenAI, Gemini, and Hugging Face, along with vector databases like FAISS for intelligent document retrieval systems. Strong foundation in Machine Learning, Deep Learning, and backend API development, focused on building real-world AI solutions.
Oriental Group of Technologies
B.Tech · Computer Science
August 1, 2025 – June 30, 2028
S.V. Polytechnic College
Diploma · Information Technology
August 1, 2022 – June 30, 2025
AI Document Question Answering System (RAG)
June 1, 2026 – Present
• Built a Retrieval-Augmented Generation (RAG) system to answer user queries from uploaded documents. • Implemented document chunking, embedding generation, and similarity search using FAISS. • Integrated LLMs via OpenAI/Gemini APIs to generate context-aware responses. • Developed REST APIs using FastAPI for document upload and query processing. • Improved response accuracy by combining retrieval-based context with generative models.
Loan Approval Prediction (Classification)
June 1, 2026 – Present
• Performed data cleaning and handled missing values. • Conducted exploratory data analysis to identify patterns and trends. • Applied feature engineering techniques and built a Logistic Regression model. • Evaluated model performance using accuracy and classification metrics.
Neural Network Model for Delivery Time Prediction
June 1, 2026 – Present
• Built a deep learning model using TensorFlow/Keras for delivery time estimation. • Improved performance through hyperparameter tuning and optimization.
Cultural Fit Analysis
The candidate's project diversity, ranging from RAG systems to classification and prediction models, shows a broad interest in AI/ML applications. The pursuit of both a Diploma and a B.Tech in Computer Science/IT indicates a commitment to continuous learning. The listed technologies and project types align well with an AI Engineer role, suggesting a good cultural fit for a technically driven environment focused on innovation in AI.
Soft Skills & Operational Fit
The candidate's resume indicates a project-oriented approach, suggesting an ability to translate theoretical knowledge into practical applications. The focus on building real-world AI solutions aligns well with operational needs. However, without specific soft skill assessments or work experience, it's difficult to fully evaluate collaboration, problem-solving under pressure, or communication in a team setting.