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AI Engineer with less than a year in LLMs & AI Agents
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 hands-on experience in building AI-powered applications using LLMs, AI Agents, RAG pipelines, and Voice AI systems. Skilled in LangChain, LangGraph, FastAPI, HuggingFace, AWS, and Docker for developing scalable AI solutions. Experienced in semantic search, prompt engineering, speech-processing pipelines, and deploying production-ready AI applications on GPU-based cloud environments. Strong problem-solving ability with a focus on AI application development and backend engineering.
Hindustan College of Engineering and Technology, Coimbatore
Bachelor of Engineering (B.E.) · Electronics and Communication Engineering
January 1, 2022 – January 1, 2026
Sybeez
AI Agent & Gen AI Intern
December 1, 2025 – May 1, 2026
India
AI Voice Appointment Booking Agent
June 5, 2026 – Present
Developed a real-time conversational voice AI assistant for automated appointment booking. Integrated speech-to-text and text-to-speech pipelines for seamless voice interaction. Built backend APIs for scheduling, workflow management, and conversation handling.
Enterprise Document RAG Assistant
June 5, 2026 – Present
Built a production-ready RAG system for enterprise document querying and semantic retrieval. Developed document ingestion, chunking, embedding generation, and vector search pipelines. Improved response relevance using prompt engineering and optimized retrieval workflows. Reduced document retrieval latency by 35% using FAISS indexing optimization.
GEN AI Bootcamp
Learnomate Technologies
January 1, 2026 – Present
Artificial Intelligence Fundamentals
IBM
January 1, 2025 – Present
The Complete MySQL Bootcamp
Udemy
January 1, 2025 – Present
Web Designing (HTML, CSS, Python, MS Office)
CSC
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's projects and internship align well with an AI Engineer role, demonstrating a clear interest and practical experience in the field. The diversity of projects (RAG system, voice assistant) and the use of various modern AI technologies suggest adaptability and a proactive learning attitude. The certifications further support a commitment to continuous learning in AI. However, without more data on collaboration or specific team experiences, a deeper cultural fit analysis is limited.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience indicate a problem-solving ability and a focus on developing scalable AI solutions. The experience with conversational AI and RAG systems suggests an ability to work on complex, user-facing applications. However, without psychometric or English test results, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.