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AI Engineer with less than a year in AI/ML, NLP & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic technology professional with a strong foundation in AI/ML, LLMs, and Data Science. Skilled in ML model training, predictive analytics, NLP pipelines, and model deployment using Python, C++, and SQL. Experienced in data preprocessing, feature engineering, and model optimization, with a focus on building end-to-end Al/ML pipelines and production-ready solutions.
Galgotias University
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
B.D.Academy
Senior Secondary Education
June 1, 2021 – May 31, 2021
B.D.Academy
Secondary Education
June 1, 2019 – May 31, 2019
Xcelore
AI-ML Traniee
February 1, 2026 – Present
India
RAG-Powered AI Customer Support Chatbot
January 1, 2026 – June 1, 2026
Built an AI customer support chatbot using a LangChain-based RAG pipeline to deliver accurate, citation-backed answers from PDFs, DOCX files, FAQs, and OCR-processed images. Built a RAG pipeline using ChromaDB and Hugging Face for semantic search and context-aware response generation.
View ProjectLLM-Powered Flashcard Generator
January 1, 2026 – June 1, 2026
Built a flashcard generation system using the valhalla/t5-small-qa-qg-hl LLM to automatically create question-answer pairs with difficulty levels from academic .pdf and .txt content. Implemented dynamic Q&A generation, difficulty tagging, and export to CSV/JSON for efficient personalized learning and revision.
View ProjectData Engineering Internship
AWS
June 1, 2026 – Present
Advanced SQL Certification
Oracle Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and trainee role align well with an AI Engineer position, demonstrating a clear interest and foundational experience in the field. The diversity of projects (customer support chatbot, flashcard generator) shows adaptability and a breadth of application understanding within AI. Participation in hackathons suggests a proactive and innovative mindset, which is a positive cultural fit. The current 'AI-ML Trainee' role further reinforces alignment with the target role.
Soft Skills & Operational Fit
The candidate lists 'Team Leadership', 'Critical Thinking', 'Strategic Decision-Making', and 'Agile Collaboration' as soft skills. The project descriptions indicate an ability to work on end-to-end solutions, which suggests good operational fit for project execution. However, without direct assessment, the depth of these soft skills cannot be fully validated.