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AI Engineer with 1+ years in LLM-based Healthcare AI & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ph.D. Scholar in Artificial Intelligence and Data Science with hands-on experience in LLM-based healthcare Al systems, NLP pipelines, and applied machine learning research. Interested in building production-ready Al solutions and research-driven innovations.
Amrita Vishwa Vidyapeetham
Doctor of Philosophy · Artificial Intelligence and Data Science
August 1, 2025 – Present
Amity University, Noida
Master of Technology · Artificial Intelligence
August 1, 2023 – June 30, 2025
Amity University, Noida
Bachelor of Technology · Artificial Intelligence
August 1, 2019 – June 30, 2023
Amrita Vishwa Vidyapeetham
AI Engineer
June 1, 2025 – December 1, 2025
Faridabad, Haryana, India
Open Health System Laboratory (OHSL), USA
Artificial Intelligence Intern
May 1, 2024 – July 1, 2024
USA
Microsoft Office
Summer Intern
June 1, 2022 – August 1, 2022
Gurgaon, Haryana, India
Comparative Analysis of Vision Models Using Multi-Metric Evaluation
ETASR (Q2)
January 1, 2025 – Present
Comparison of Vision-Language Models: Datasets, Architectures and Metrics
IEEE ICDT
January 1, 2025 – Present
Big Data Computing
NPTEL
August 1, 2024 – October 1, 2024
Scene Description Technologies for Visually Impaired
IEEE ICPEICES
January 1, 2024 – Present
Effective Engineering Teaching in Practice
NPTEL
January 1, 2024 – February 1, 2024
Automated-Based Chatbot for Dermatology Diagnosis
TIJER
January 1, 2023 – Present
A Review of Blockchain and Its Impact in the Education Sector
CIIT
January 1, 2022 – Present
Cultural Fit Analysis
The candidate exhibits a strong drive for continuous learning and research, evidenced by their extensive academic pursuits and publication record. Their diverse project experience within the AI domain, including healthcare applications, suggests an adaptable and impact-oriented mindset. The alignment of their educational and professional background with the AI Engineer role is excellent. However, the very low psychometric test score, particularly concerning work attitude and team collaboration, presents a significant potential cultural fit challenge that requires further investigation.
Soft Skills & Operational Fit
The candidate demonstrates collaborative experience through working with clinicians and participation in a team-based development environment. Community engagement indicates a proactive and socially conscious individual. However, the psychometric test score (168/500) is significantly low, raising concerns regarding logical reasoning, work attitude, stress handling, and team collaboration, which are critical for operational fit.