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AI Engineer with less than a year in LLMs & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.Tech Information Technology student and aspiring AI Engineer with hands-on experience in LLMs, RAG, LangChain, CrewAI, FastAPI, Python, and Generative AI. Developed AI-powered quiz platforms, voice assistants, and CRM solutions through academic projects and internships. Seeking opportunities to apply AI and software development skills in innovative real-world projects.
Sethu Institute of Technology
B.Tech · Information Technology
January 1, 2022 – January 1, 2026
Pasumalai higher secondary school
HSC
N/A – Present
Anusha Vidyalaya Matriculation School
SSLC
N/A – Present
Infosys Springboard
AI Intern
December 1, 2024 – February 1, 2025
India
AI Call Assistant for Live Sales Calls
June 23, 2026 – Present
Built a voice-enabled recommendation system using Streamlit, Python, RAG, Sentence Transformers, Groq API, CRM, and Google Cloud.
AI Quiz & Exam Platform
June 23, 2026 – Present
Developed an AI-powered quiz and examination platform using Python, Streamlit, Groq LLM, and Firebase. Integrated AI-based MCQ generation, chatbot assistance, multiplayer quiz functionality, live leaderboards, and analytics dashboards for performance tracking. Successfully deployed the application on Hugging Face for online access and scalability.
Privacy and Security in Online Social Media
NPTEL
June 1, 2026 – Present
AI Foundation
Infosys Springboard
June 1, 2026 – Present
Artificial Intelligence Primer
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying AI technologies. Participation in hackathons and achieving prizes indicates a competitive spirit and problem-solving drive. The diversity of projects (voice assistant, quiz platform) and the internship experience suggest an openness to different challenges and a collaborative mindset, which aligns well with a dynamic tech culture. However, the experience is primarily academic, and real-world team collaboration beyond the internship is not extensively detailed.
Soft Skills & Operational Fit
The candidate lists several soft skills including Problem Solving, Communication, Team Collaboration, and Adaptability. These are crucial for an AI Engineer role, especially in a collaborative development environment. The project descriptions indicate an ability to work on complex systems and integrate various technologies, suggesting good operational fit for project execution.