
AI Engineer with less than a year in Generative AI, LLMs, NLP, and 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
AI/ML & Full stack Engineer with comprehensive expertise across the Machine Learning Engineer specializing in AI & ML, with expertise in Generative AI, LLMs, NLP, Deep Learning. Skilled in Python, Java, C++, React.js, Next.js, and Node.js, with a passion for building intelligent, scalable AI-powered solutions.
Sardar Beant Singh State University GURDASPUR
Bachelor of Technology · Computer science Engineering(B.Tech. CSE)
August 1, 2023 – July 1, 2027
SHEMROCK Sr. Sec. School 69 MOHALI
Secondary (10+2) Higher Education · PCM
April 1, 2021 – May 1, 2023
IGEN EDUTRONICS Pvt. Ltd.
Ex-Tech Intern (Unpaid)
June 1, 2025 – August 1, 2025
India
Oracle Cloud Application Foundation Certified Implementation Specialist
Oracle
June 11, 2026 – Present
INTEL cbseAI Aware Badge - AI For All
INTEL
June 11, 2026 – Present
LinkedIN Graphic ERA careers AI essentials
June 11, 2026 – Present
Amazon Web Services (AWS) Cloud AI essentials
Amazon Web Services (AWS)
June 11, 2026 – Present
Tata - GenAI Powered Data Analytics Job Simulation
Tata
June 11, 2026 – Present
TCS ion Career Edge -Young Professional
TCS
June 11, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI voice assistant, object detection, and quality inspection systems, shows a broad interest in applying AI across different domains. The specialization in AI & ML during B.Tech and the numerous AI-related certifications align well with an AI Engineer role. The internship experience, though unpaid, demonstrates initiative and a proactive approach to gaining practical experience. The candidate is still pursuing their Bachelor's degree, which suggests a strong learning orientation.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with an R&D team, suggesting an ability to work in a team environment. The focus on applying AI/ML concepts to real-world IT solutions indicates a problem-solving mindset. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills, work attitude, stress handling, and communication clarity is not possible.