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AI Engineer with 1+ years in Machine Learning & NLP
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science and Machine Learning enthusiast with hands-on experience in analyzing data, building ML models, and creating AI-driven solutions. Skilled in Python, Scikit-learn, NLP, and Generative AI tools. Passionate about turning raw data into meaningful insights and smart solutions.
Jamia Millia Islamia
Master of Computer Application
August 1, 2023 – June 30, 2025
Jamia Millia Islamia
Bachelor of Science
August 1, 2019 – June 30, 2022
SaralPixel-AI Labs
Trainee Software Engineer
June 1, 2025 – Present
New Delhi, Delhi, India
SoftAge Information Technology Ltd.
Remote Data Curation Tool Specialist
April 1, 2025 – June 1, 2025
India
intraQuery - Multi-PDF RAG-Based Document Assistant
June 1, 2025 – Present
Developed an AI-powered Retrieval-Augmented Generation (RAG) application that allows users to upload multiple PDFs and ask contextual questions directly from the documents. Implemented text extraction, semantic chunking, and embeddings using HuggingFace (MiniLM) for accurate similarity-based retrieval Built vector storage using FAISS and integrated Gemini LLM via LangChain to generate precise, context-aware answers from retrieved document segments.
RAGify-Tube
June 1, 2025 – Present
Developed a Retrieval-Augmented Generation (RAG) application to answer user queries based on YouTube video transcripts. Implemented transcript extraction using YouTubeTranscriptAPI, semantic chunking, and embeddings with HuggingFace (MiniLM) for contextual retrieval. Built vector storage with FAISS and integrated Cohere Rerank with LangChain retrievers to enhance relevance of retrieved segments.
SMS Spam Classifier
June 1, 2025 – Present
Cleaned and processed text data with tokenization, stopword removal, stemming, and feature extraction using TF-IDF. Implemented and evaluated models including Naive Bayes, Logistic Regression, and Random Forest for spam detection. Improved model accuracy using feature engineering and performance evaluation metrics (precision, recall, F1-score, confusion matrix).
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a strong interest in cutting-edge AI technologies, particularly RAG and NLP. The experience at SaralPixel-AI Labs, though brief, shows exposure to a hybrid team environment and adherence to version control, which are positive indicators for cultural integration. The focus on AI-driven solutions aligns well with an AI Engineer role. However, the limited professional experience means there's less evidence of diverse team collaboration or navigating complex organizational dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical tasks independently. Participation in discussions and adherence to coding standards at SaralPixel-AI Labs suggest a foundational understanding of collaborative development practices. However, the short duration of professional experience limits the assessment of long-term operational fit and advanced soft skills like leadership or complex problem-solving in a team context.