AI Engineer with less than a year in AI/ML, LLMs & Backend Development.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineering student with hands-on experience building Agentic AI applications, knowledge systems, and NLP-based solutions using Python and LLMs. Skilled in backend development with FastAPI, API integration, SQL, and AI workflow automation. Experienced in developing intelligent assistants, retrieval systems, and document-processing pipelines. Passionate about building practical AI products and scalable software solutions.
Anurag University
B.Tech · Artificial Intelligence
N/A – June 30, 2027
Sri Chaitanya Junior College
12th · Science
N/A – May 31, 2023
St Peter's High School
10th SSC
N/A – May 31, 2021
Minto.ai
AI Engineering Intern
May 1, 2026 – June 30, 2026
India
Smart Notes – AI Knowledge Assistant
June 5, 2026 – Present
Built an AI-powered knowledge management system enabling intelligent note storage, semantic search, and contextual retrieval. Integrated LLM-based summarization and embeddings for improved knowledge discovery. Developed scalable backend APIs using Python for efficient data processing and retrieval.
View ProjectKnowledge Generation Engine - AI-Powered Domain Knowledge Management
June 5, 2026 – Present
Built LLM Wiki, an AI-driven knowledge generation platform that transforms unstructured documents into structured domain-specific knowledge repositories. Developed automated ingestion, semantic organization, knowledge extraction, validation, and review workflows using Python, FastAPI, YAML, and LLM-powered processing. Implemented retrieval indexing and REST APIs for scalable knowledge discovery, querying, and knowledge reuse.
View ProjectHealthSync - AI-Powered Healthcare Platform
June 5, 2026 – Present
Developed a full-stack healthcare platform using FastAPI, SQLAlchemy, JavaScript, and SQLite, integrating telemedicine, appointment management, medical report analysis, and personalized health services. Built AI-powered features including a healthcare chatbot, symptom image analysis, and health risk prediction using machine learning models. Implemented secure authentication, role-based access control, and REST APIs to support scalable healthcare workflows.
View ProjectComplete Data Science & ML Bootcamp
Udemy
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internship align well with an AI Engineer role, demonstrating a clear passion and focus on AI application development. The diversity of projects (knowledge management, healthcare, fraud detection) indicates adaptability and a broad interest in applying AI across different domains. The focus on practical, scalable solutions suggests a results-oriented mindset. However, the candidate is still early in their career, and the breadth of experience is primarily academic.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted AI systems, suggesting good problem-solving and project management potential. The internship experience shows an ability to contribute to team-based AI development. However, without direct assessment, specific soft skills like leadership, conflict resolution, or advanced communication cannot be fully evaluated.