AI Engineer with less than a year in NLP, Generative AI, and RAG systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science student skilled in AI, ML, NLP, and Generative AI with hands-on experience building RAG chatbots and intelligent NLP systems. Passionate about developing scalable AI solutions for real-world problems.
Heritage Institute of Technology
B.Tech. Computer Science and Engineering (AIML) · AIML
August 1, 2023 – June 30, 2027
St. Dominic Savio's High School
Class 12th (CBSE)
June 1, 2021 – May 31, 2023
St. Dominic Savio's High School
Class 10th (CBSE)
June 1, 2019 – May 31, 2021
Edunet Foundation
Artificial Intelligence & Machine Learning Intern
January 1, 2026 – February 1, 2026
India
Smart Resume Parser & Career Intelligence Platform
January 1, 2023 – June 1, 2026
Developed an NLP pipeline to parse PDF/DOCX resumes using a 520+ skill ontology and TF-IDF + SBERT similarity. Integrated ML models including Logistic Regression, Naive Bayes, and Random Forest in a Streamlit ATS platform.
RAG-based PDF Chatbot
January 1, 2023 – June 1, 2026
Built a Retrieval-Augmented Generation chatbot enabling PDF upload and natural language question answering. Implemented semantic retrieval using embeddings, LangChain, and ChromaDB with a Streamlit interface.
What Is Generative AI?
LinkedIn Learning
January 1, 2025 – Present
Hack Heritage 2025
Unknown
January 1, 2025 – Present
GSSOC 2024 Open Source Contributor
GirlScript Summer of Code
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in AIML, participation in open-source projects, and focus on building practical AI solutions align well with a culture that values innovation, continuous learning, and hands-on development. The diversity of projects (resume parsing, RAG chatbot) indicates a broad interest within the AI domain. The target role of 'AI Engineer' is well-aligned with the candidate's stated interests and project work.
Soft Skills & Operational Fit
The candidate demonstrates initiative through participation in hackathons and open-source contributions. Project descriptions indicate an ability to work on practical applications and integrate various technologies. The internship experience, though short, shows exposure to real-world datasets and model development. However, the overall experience level is very junior, which might impact operational fit for a senior role requiring independent problem-solving and system ownership.