MOHAMED RITHAVUDEEN
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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 Engineer with less than a year in Generative AI, Machine Learning, and NLP.
Artificial Intelligence and Data Science graduate with demonstrated experience in Machine Learning, Deep Learning, Natural Language Processing, and Generative AI. Proven ability to design, develop, and deploy end-to-end AI systems including RAG pipelines, LLM-powered applications, and NLP classification models using Python, TensorFlow, PyTorch, and HuggingFace Transformers. Open to full-time opportunities in AI Engineering, Machine Learning Engineering, and Generative AI Development to deliver measurable business value.
ANNA UNIVERSITY
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
NEELAN MATRICULATION HIGHER SECONDARY SCHOOL
Higher Secondary · computer science
June 1, 2020 – May 31, 2021
Pyroferous Technologies
Data Science Intern
June 1, 2025 – July 1, 2025
Chennai, Tamil Nadu, India
Farm Direct 24
Machine Learning -Intern
January 1, 2025 – March 1, 2025
Chennai, Tamil Nadu, India
LLM-Powered SQL Query Generator
June 24, 2026 – Present
Developed an LLM-powered Text-to-SQL application using OpenAI API and LangChain, converting plain English user inputs into accurate, optimized SQL queries with zero manual query writing. Designed an interactive Streamlit interface integrated with SQLite database, enabling non-technical users to extract business insights directly from structured data through natural language.
View ProjectGenAI-Powered Retrieval-Augmented Chatbot
June 24, 2026 – Present
Developed a RAG Chatbot using Python, LangChain, FAISS, Gemini API, and Streamlit, enabling context-aware question answering from enterprise documents through semantic search, vector embeddings, and LLM-powered response generation. Built an end-to-end Generative AI knowledge retrieval system by implementing document chunking, embedding generation, vector database indexing, and prompt engineering, reducing LLM hallucinations and improving real-time access to organizational knowledge and decision-making.
Cultural Fit Analysis
The candidate's projects and internships show a strong focus on practical AI/ML applications, particularly in Generative AI and NLP, which aligns well with an AI Engineer role. The diversity of projects (Text-to-SQL, RAG Chatbot, NLP pipelines, ML pipelines) indicates a broad interest and adaptability within the AI domain. The candidate is currently pursuing a Bachelor's degree, which suggests a strong academic foundation and a proactive approach to learning new technologies. The internships, though short, provide real-world exposure.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, analytical thinking, logical thinking, communication, and teamwork skills. The project descriptions are clear and well-structured, indicating good communication. The psychometric test score suggests a moderate fit for work attitude and stress handling, which could be further explored. The candidate's stated soft skills align with collaborative and dynamic AI engineering environments.