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AI Engineer with 1+ years in RAG, LangChain, and LLM-based applications.
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Assessing your cultural and operational fit
Enthusiastic AI/ML aspiring professional with hands-on experience in Python, RAG, LangChain, and LLM-based applications. Interested in developing intelligent and scalable AI solutions with strong analytical and problem-solving skills.
T. John Institute Of Technology, Bengaluru
B.E. · Information Science
N/A – June 30, 2025
AI4SEE Pvt Ltd
Data Science Intern
January 1, 2026 – Present
Bengaluru, Karnataka, India
QSpiders
Intern
January 1, 2025 – December 31, 2025
Bengaluru, Karnataka, India
AI Coding Assistant
January 1, 2026 – Present
Developed an AI Coding Assistant using Python, LangGraph, and Retrieval-Augmented Generation. Built a system to generate and explain code based on user queries. Integrated Large Language Models (LLMs) to provide coding suggestions and debugging support. Developed a simple Streamlit interface for interactive user communication.
AI Interview Preparation Assistant
January 1, 2026 – Present
Designed and developed an AI-based Interview Preparation Assistant using Python, RAG, and LangChain. Implemented document retrieval and question-answering features using static interview datasets and technical notes Utilized Large Language Models (LLMs) to provide technical explanations, interview practice, and response assistance. Created an interactive Streamlit application for user-friendly interview preparation and communication.
Incident Safety Management App
January 1, 2025 – Present
Developing a mobile application to manage and report safety incidents in real-time. Core features include incident logging, photo upload, severity tracking, and live alert systems. Using React Native to ensure cross-platform compatibility across Android and iOS devices. Collaborating with backend team for integration with a central safety dashboard.
Cultural Fit Analysis
The candidate's projects are primarily academic and focused on AI/ML, which aligns with an AI Engineer role. The internship at AI4SEE Pvt Ltd further strengthens this alignment. The inclusion of a mobile application project (Incident Safety Management App) using React Native shows some breadth beyond pure AI, indicating a willingness to explore different technologies. However, the overall experience is limited to academic projects and internships, which might require more mentorship in a fast-paced industry environment. The candidate's profile suggests a strong interest in AI/ML, which is a good cultural fit for an AI-focused team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on practical applications and integrate various technologies. The academic background and internship experience suggest a learning-oriented individual. However, without specific behavioral or situational assessment data, it is difficult to fully evaluate soft skills like teamwork, problem-solving under pressure, or communication beyond the clarity of their resume.