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AI Engineer with less than a year in Generative AI & RAG pipeline development.
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Assessing your cultural and operational fit
Junior Al Engineer and 2026 B.Tech graduate specializing in Generative Al, agentic workflows, and RAG pipeline development. Hands-on experience building and deploying production-ready LLM applications using LangChain, LangGraph, and FastAPI in client-facing environments. Proven ability to rapidly prototype and ship agentic Al solutions from multi-agent systems to conversational Al with exposure to vector databases, prompt engineering, and LLM evaluation. Recognized as Outstanding Student of the Batch; authored a published book on Al and delivered research at 3 international conferences.
Sethu Institute of Technology
B.Tech · Computer Science and Business Systems
August 1, 2022 – March 1, 2026
Persici Agency, UAE
Al Engineer Intern
January 1, 2026 – May 1, 2026
United Arab Emirates
TACSS LLP, Chennai
Al Developer Intern
January 1, 2025 – May 1, 2025
Chennai, Tamil Nadu, India
Multi-Agent Al Assistant
June 1, 2026 – Present
Developed and deployed a production-ready multi-agent Al assistant using LangGraph to automate research, information retrieval, and task execution through modular LLM agents.
RAG Document Assistant
June 1, 2026 – Present
Built an Al-powered document Q&A system using LangChain, LLMs, and vector databases. Implemented semantic search and NLP pipelines from PDF documents, achieving 60% faster retrieval. Integrated ChromaDB/FAISS for scalable semantic retrieval via REST APIs.
Business Website Development & Deployment
June 1, 2026 – Present
Developed, deployed, and maintained 4 production-ready client websites, managing Git-based version control, hosting, domain configuration, and production deployments.
Artificial Intelligence Primer Certification
Infosys Springboard
June 1, 2026 – Present
Generative Al Professional Certificate
Snowflake & LinkedIn Learning
June 1, 2026 – Present
Data Science Professional Certificate
KNIME
June 1, 2026 – Present
Mastering OpenCV: A Practical Guide to Computer Vision
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse projects, including multi-agent AI assistants, RAG systems, and even business website development, show a broad interest and ability to tackle different technical challenges. Their academic recognition and participation in international conferences suggest a drive for excellence and continuous learning, which aligns well with a growth-oriented culture. The focus on Generative AI and agentic workflows directly matches the target 'AI Engineer' role, indicating strong alignment with the technical direction of an innovative AI team. However, the lack of extensive team-based project experience beyond internships might require some adjustment to a highly collaborative senior environment.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive learning approach through personal projects, certifications, and academic achievements. Their experience in collaborating with international stakeholders suggests good teamwork and communication skills. The ability to rapidly prototype and iterate AI features indicates adaptability and problem-solving capabilities. However, the limited professional experience (internships only) means their operational fit in a senior role requiring independent decision-making and complex project leadership is yet to be fully proven.