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Generative AI Engineer with less than a year in Machine Learning & Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA student with a strong foundation in AI/ML and hands-on experience developing advanced Generative AI systems. Specialized in building agentic RAG architectures and multi-agent workflows using LangGraph and LangChain to solve complex data retrieval challenges.
Gian Jyoti Institution of Management & Technology
Master in Computer Applications · Computer Applications
August 1, 2024 – June 30, 2026
Gian Jyoti Institution of Management & Technology
Bachelor in Computer Applications · Computer Applications
August 1, 2021 – June 30, 2024
Spineor Web Services
Machine Learning & Deep Learning
June 1, 2025 – August 1, 2025
Mohali, Punjab, India
JavaScript
Meta (Coursera)
June 1, 2026 – Present
Artificial Intelligence & Machine Learning
Fuel
June 1, 2026 – Present
AI with Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in leadership activities (Internship Coordinator, President - IT CLUB) suggests proactiveness and a willingness to take on responsibility, which can be positive for cultural fit. The projects listed, such as 'Intelligent Multi-Agent System' and 'Self-Corrective Knowledge Retrieval Agent', align well with an innovative and problem-solving culture often found in AI engineering roles. However, the limited professional experience makes a deep assessment of cultural fit challenging.
Soft Skills & Operational Fit
The candidate lists 'Team Building & Leader', 'Multitasking & Punctual', 'Fast Learner', 'Presentation Skill', 'Good Speaker & Listener' as skills, and has leadership roles as 'Internship Coordinator' and 'President - IT CLUB'. These indicate potential for good team collaboration and communication, which are positive for operational fit. However, these are self-reported and not validated by assessments.