AI Engineer with 3+ years in Python, LLMs & Full-stack development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-oriented Computer Application (BCA) student with a deep foundation in full-stack development and artificial intelligence, seeking to leverage technical expertise in LLMs, RAG, and agentic AI systems in a professional environment. Innovative Artificial Intelligence Intern known for high productivity and efficient task completion. Possess specialized skills in machine learning algorithms, natural language processing, and data analysis. Excel in problem-solving, teamwork, and adaptability, ensuring success in fast-paced environments.
Guru Nanak Khalsa College
Bachelor in Computer Application
August 1, 2023 – June 30, 2026
Anand Public School
12th Standard · Commerce Stream
June 1, 2021 – May 31, 2023
Cyber Core Technology
Python & AI Intern
January 1, 2023 – January 1, 2026
Mohali, Punjab, India
Groq-Based AI Assistant
June 24, 2026 – Present
Developed an intelligent personal assistant using the Groq API and Llama 3 70B models, implementing robust natural language processing for structured information retrieval.
RAG-Powered Zen AI Chatbot
June 24, 2026 – Present
Built and deployed a Retrieval-Augmented Generation (RAG) chatbot using LangChain and vector databases. Fine-tuned an LLM with specific data to create a context-aware support assistant. Utilized LangGraph for robust conversation management and Docker/Kubernetes for scalable deployment.
Distributed Multi-Agent Incident Response System
June 24, 2026 – Present
Architected a distributed multi-agent system with custom route logic, designed to trigger coordinated, multi-agency incident responses.
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative and a proactive approach to learning and applying advanced AI concepts. The diversity of projects (AI assistant, RAG chatbot, multi-agent system) shows a broad interest within AI. While the experience is limited to an internship, the project work indicates a strong alignment with an innovative, AI-focused culture. However, the overall experience level is junior, which might require significant mentorship in a senior-level role.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, teamwork, and adaptability, which are crucial for operational fit in fast-paced AI development environments. The internship experience also mentions collaboration and contributing to stability and performance, indicating a team-oriented approach.