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AI Engineer with less than a year in RAG-based Document Assistants & NLP Applications
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Assessing your cultural and operational fit
Software developer with hands-on experience building RAG-based document assistants, NLP search applications, and full-stack web apps using Python, FastAPI, and JavaScript.
United College of Engineering & Research
B.Tech · Computer Science Engineering (AIML)
August 1, 2022 – June 30, 2026
Tagore Public School
Grade 12 & Grade 10
N/A – May 31, 2022
Infosys Springboard
AI/ML Virtual Intern
September 1, 2025 – November 1, 2025
India
Policy Navigator
September 1, 2025 – November 1, 2025
Built an NLP search app over 500 education policies using TF-IDF (5K features, bigrams) and cosine similarity; pre-trained model loads at runtime for fast responses. Exposed a FastAPI /search endpoint returning relevance-ranked results, rendered via a Jinja2-templated frontend.
View ProjectPDF Insight Voice
September 1, 2025 – November 1, 2025
Built a RAG-based PDF Q&A app where users ask questions by typing or voice; TinyLlama runs locally via LM Studio with no external API calls. Implemented document chunking and retrieval using LangChain, HuggingFace embeddings, and FAISS; integrated Web Speech API for voice I/O and jsPDF for downloadable answers.
View ProjectImageCrafter
March 1, 2025 – April 1, 2025
Built a text-to-image web app with style selection (photorealistic, cartoon, pixel art) and batch generation of up to 4 images via Stability AI. Wrote a Node.js/Express proxy to keep the API key server-side; added offline fallback mode with local image placeholders.
View ProjectVirtual Internship Certificate
Infosys Springboard
January 1, 2025 – Present
Frontend Development Certification
Roadmap.sh
January 1, 2025 – Present
EY Techathon 5.0
Cleared Round 1
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong interest in AI/ML and web development, aligning well with an AI Engineer role that often requires deploying models as services. The diversity of personal projects (NLP search, RAG Q&A, text-to-image) indicates a broad curiosity and ability to tackle different problem domains within AI. The use of open-source tools and frameworks (LangChain, HuggingFace, FAISS) suggests an adaptable and community-oriented mindset. The candidate is currently pursuing a B.Tech in Computer Science Engineering (AIML), indicating a foundational academic alignment with the target role. The Infosys internship further solidifies practical experience in an industry setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new technologies. The personal projects demonstrate initiative and problem-solving skills, such as implementing offline fallback modes and server-side API key management. Participation in a virtual internship and a techathon suggests a willingness to engage in structured learning and competitive environments. However, without direct interview data, specific soft skills like teamwork, leadership, or communication in a collaborative setting cannot be fully assessed.