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AI Engineer with less than a year in Generative AI and NLP.
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 and Machine Learning Engineer with hands-on experience in Generative AI, NLP, deep learning, and computer vision. Skilled in building intelligent applications using LLMS, RAG pipelines, LangChain, Python, TensorFlow, and Scikit-learn, with a strong foundation in model development and real-world AI solutions.
K.K. Wagh College of Engineering, Nashik
Bachelor of Engineering · Computer Engineering
N/A – June 30, 2025
MIDT
Data Science Intern
December 1, 2025 – March 1, 2026
India
Enterprise GenAI Chatbot
June 1, 2026 – June 1, 2026
Developed an Enterprise GenAI chatbot using Retrieval-Augmented Generation (RAG) for intelligent question answering across 15+ enterprise documents. Processed and indexed 500+ document chunks using LangChain and ChromaDB to enable semantic search and context-aware retrieval. Built a Streamlit-based interface and integrated local LLMs through Ollama for real-time enterprise knowledge retrieval.
Intelligent Recommendation System
December 1, 2025 – June 1, 2026
Engineered a personalized recommendation engine using user-based and item-based collaborative filtering on 5,000+ interactions. Handled sparse user-item matrices across 1,200+ items and optimized similarity scoring to improve recommendation relevance. Generated personalized recommendations using similarity scores to improve user relevance.
Resume Screening System
January 1, 2025 – June 1, 2026
Built an NLP-powered system to automatically rank 20+ resumes against job descriptions using semantic similarity. Applied TF-IDF vectorization and cosine similarity for text-based feature extraction and relevance scoring — a foundational concept in RAG retrieval. Deployed an interactive Streamlit interface enabling real-time resume upload and ranked result display.
Basics of Machine Learning
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and initiative in AI/ML, aligning well with an AI Engineer role. The diversity of projects (chatbot, resume screening, recommendation system) shows a broad application of AI concepts. The candidate is still pursuing a Bachelor's degree, indicating a strong learning mindset. However, the lack of professional experience beyond a single internship and the focus on personal projects suggest a need for mentorship and integration into a team-oriented development process.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to independently conceptualize, develop, and deploy AI solutions. The internship experience suggests a capacity for data cleaning, model evaluation, and data visualization. However, without specific assessment data on communication, logical reasoning, or teamwork, it's difficult to fully assess soft skills and operational fit beyond what's implied by project completion.