AI Engineer with less than a year in LLM-based applications & RAG systems.
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AI/ML Engineer specializing in LLM-based applications, RAG systems, and NLP solutions. Built and deployed chatbot systems using FastAPI and OpenAI APIs, reducing manual workload and improving response efficiency. Strong in Python, LangChain, and end-to-end ML pipelines from data processing to deployment.
Indian Institute of Technology, Ropar
Certification Program · Artificial Intelligence & Machine Learning
January 1, 2025 – January 1, 2026
Keshav Memorial Institute Of Technology, Hyderabad
Bachelor of Technology · Information Technology
July 1, 2020 – August 1, 2024
AI Authority Company
AI Engineer Intern
February 1, 2026 – Present
India
Smart Cultural Story Teller (AI Agent)
September 1, 2024 – June 1, 2026
Built an AI agent to generate culturally relevant stories using LLMs and embeddings. Generated 50+ context-aware stories with improved narrative coherence. Enhanced contextual relevance using semantic search and prompt-based workflows. Designed a multi-step pipeline for personalized storytelling experience.
View ProjectAI Assistant System (LLM Chatbot)
September 1, 2024 – June 1, 2026
Engineered an LLM-powered chatbot to automate real-time user support for a company website. Handled 100+ user queries and reduced manual response effort by 60% through automated workflows. Optimized response relevance using prompt engineering and context-aware pipelines. Deployed production-ready chatbot enabling scalable and dynamic user interaction.
View ProjectMachine Learning Training Program
Internshala
May 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse AI applications, from user support chatbots to creative storytelling agents. The educational background and internship align well with an AI Engineer role, indicating a focused career path. The breadth of skills listed (Python, SQL, various ML/NLP concepts, frameworks) suggests adaptability and a willingness to learn new technologies. However, the experience level is entry-level, which might require more mentorship in a senior team.
Soft Skills & Operational Fit
The candidate's project descriptions and professional summary indicate a focus on problem-solving and efficiency improvements (e.g., 'reduced manual response effort by 60%'). The internship role suggests an ability to contribute to end-to-end system integration. However, without specific assessment data, it's difficult to fully evaluate soft skills like teamwork, stress handling, or communication clarity beyond written descriptions.