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AI Engineer with 3+ years in full-stack development, LLMs & Agentic AI.
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 · Computer Application
June 1, 2023 – May 1, 2026
Anand Public School
12th Standard · Commerce Stream
June 1, 2021 – March 1, 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.
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.
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.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and initiative in cutting-edge AI technologies (RAG, multi-agent systems, LLM integration). This aligns well with an innovative and technically driven culture. The breadth of skills listed (from core programming to AI-specific frameworks and deployment tools) suggests a versatile individual eager to learn and contribute across different aspects of AI development. The personal projects indicate a self-starter mentality, which is a positive cultural fit for roles requiring independent problem-solving and continuous learning.
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 project descriptions are clear, indicating good communication skills in a technical context. However, without specific behavioral assessment data, a deeper analysis of stress handling or direct team collaboration style is not possible.