AI Research Engineer with less than a year in Generative AI & Deep Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.E. student in Artificial Intelligence and Data Science with hands-on experience in Generative AI, Deep Learning, Computer Vision, and Multi-Agent Systems. Skilled in building enterprise AI solutions, RAG pipelines, and AI-powered healthcare applications with research publication and IEEE conference acceptance.
MET Institute of Engineering,Nashik, Savitribai Phule Pune University
Bachelor's of Engineering · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Savitribai Phule Pune University
HSC
June 1, 2022 – May 31, 2022
Savitribai Phule Pune University
SSC
June 1, 2020 – May 31, 2020
FORVIA FAURECIA
AI/ML Intern
August 1, 2025 – Present
India
CharuFace AI – AI-Powered Dermatology Assistant for Personalized Skincare
March 1, 2026 – March 31, 2026
Developed an AI-powered dermatology assistant using Deep Learning, TensorFlow, and Computer Vision for multi-class facial skin-condition detection and personalized skincare recommendation. Built an intelligent skincare recommendation system integrating facial image analysis, product recommendation, home remedies, and personalized skincare routines through an interactive user interface. Published research work in IRJMETS and achieved acceptance in an IEEE Xplore-indexed international conference.
View ProjectBuyBuddy: AI-Powered Product Recommender (Accenture – Data & AI Week Hackathon)
April 1, 2025 – April 30, 2025
Utilized Large Language Models (LLaMA3) and Python for prompt engineering and advanced data analytics. Developed product recommendation system using historical transaction data. Built front-end with Streamlit, integrated with generative AI back-end.
IIT Bombay Spoken Tutorial (HTML, PHP, MySQL, Java)
IIT Bombay
June 1, 2026 – Present
Research accepted in IEEE Xplore
IEEE Xplore
June 1, 2026 – Present
Tata GenAI Data Analytics
Tata
June 1, 2026 – Present
NPTEL (Pattern Recognition, C Programming, GenAI)
NPTEL
June 1, 2026 – Present
TalentBattle (90 hrs DSA & Aptitude)
TalentBattle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from product recommenders to dermatology assistants, demonstrates a broad interest in applying AI across different domains. Their involvement in hackathons and research publications indicates a proactive and innovative approach, which aligns well with a research-focused role. The internship experience at FORVIA FAURECIA, working on real-world enterprise applications, shows an ability to adapt to industry settings. The breadth of skills and continuous learning through certifications (NPTEL, Tata GenAI) suggest a strong growth mindset, contributing positively to cultural fit in a dynamic research environment.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Communication, Collaboration, Problem-Solving, Leadership, Networking, Teamwork, and Time management. These are crucial for an AI Research Engineer role, which often involves interdisciplinary collaboration and complex problem-solving. The involvement in an AI & Data Science Club and inter-college tech events further supports their operational fit and ability to work in a team-oriented, dynamic environment. The English test score of 69 suggests adequate communication clarity for technical discussions.