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AI Engineer with less than a year in LLM-powered applications & backend services.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI Engineer with experience building LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, and scalable backend services using Python, FastAPI, LangChain, and vector databases. Hands-on experience integrating OpenAI, Gemini, and HuggingFace models, developing AI-driven workflows, and deploying machine learning solutions across production-oriented environments. Strong foundation in machine learning, prompt engineering, API development, and problem-solving with a passion for building intelligent applications.
CHRIST (Deemed to be University)
Master of Computer Applications
June 1, 2024 – March 1, 2026
Sanjay Ghodawat University
Bachelor of Computer Applications
August 1, 2021 – May 1, 2023
Spark Minda (Minda Corporation)
Software Engineer Intern – Machine Learning & AI Systems
January 1, 2026 – Present
India
Educational Assistant – LLM Powered Learning Platform
June 27, 2026 – Present
Built an AI-powered educational platform leveraging Large Language Models (LLMs), LangChain, and Retrieval-Augmented Generation (RAG) workflows for contextual academic assistance. Integrated OpenAI model to generate real-time explanations, contextual responses, and interactive question-answering experiences. Engineered 10+ FastAPI endpoints to manage prompt orchestration, retrieval workflows, asynchronous request handling, and scalable AI-powered interactions. Developed React-based interfaces enabling seamless interaction with LLM-driven educational workflows and dynamic content generation.
Travel Itinerary Planner – AI Recommendation Platform
June 27, 2026 – Present
Architected and developed a full-stack travel planning platform capable of generating personalized itineraries based on user preferences and contextual travel constraints. Designed and implemented 8+ RESTful APIs using Flask to manage itinerary generation, recommendation workflows, and backend business logic. Built responsive React interfaces and integrated frontend components with backend services to deliver seamless end-to-end user experiences. Containerized application services using Docker and implemented a modular architecture to improve deployment consistency, maintainability, and scalability. Integrated AI-based recommendation workflows and validated API communication across 15+ integration and edge-case testing scenarios.
Cultural Fit Analysis
The candidate's academic projects and internship show a strong interest and practical application in AI and machine learning, which aligns well with an AI Engineer role. The diversity of projects (educational platform, travel planner, smartphone detection) indicates adaptability and a broad skill set. The mention of a hackathon achievement suggests a competitive spirit and ability to collaborate.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on building end-to-end solutions. The internship experience highlights debugging and root-cause analysis, suggesting strong operational awareness. Participation in a hackathon demonstrates teamwork and ability to perform under pressure.