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AI Engineer with less than a year in Python, Machine Learning & Deep 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
EAspiring Software Developer with hands-on experience in Python, Machine Learning, NLP, and Deep Learning through academic and practical projects. Skilled in developing Al-powered applications, problem-solving, and software development fundamentals. Passionate about building innovative solutions and continuously learning emerging technologies.
Kalasalingam Academy Of Research And Education
B.Tech · CSE
July 1, 2021 – May 1, 2025
K.B.N College
Intermediate · MPC
June 1, 2019 – April 1, 2021
M.S.R English Medium High School
Secondary Education
June 1, 2018 – March 1, 2019
CIFAR-10 Image Classification using CNN
January 1, 2025 – June 1, 2026
Built a Convolutional Neural Network (CNN) for CIFAR-10 image classification using TensorFlow/Keras. Applied image preprocessing and augmentation techniques to improve model performance. Developed a Streamlit-based web interface for real-time image prediction. Visualized training accuracy, loss graphs, and prediction probabilities.
AI-Powered RAG Chatbot using LangChain, Gemini & ChromaDB
January 1, 2025 – June 1, 2026
Developed a Retrieval-Augmented Generation (RAG) chatbot using LangChain and Gemini LLM. Implemented semantic search using ChromaDB and embedding models for context-aware responses. Built an interactive Streamlit interface for real-time AI-powered question answering.
Data Science with AI
Quality Thought
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI/ML to practical problems (image classification, RAG chatbot). The participation in a technical event focused on AI innovation aligns with a culture of continuous learning and problem-solving. However, the lack of professional experience or diverse project types beyond academic settings limits the assessment of broader cultural fit, such as adaptability to different team structures or business environments.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, and team collaboration as soft skills. While these are crucial for an AI Engineer role, there is no empirical data from assessments or professional experience to validate these claims. The academic project descriptions suggest some level of problem-solving in implementation, but the extent of team collaboration is unclear.