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AI Engineer with less than a year in Deep Learning & NLP
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science student specializing in AI ML with skills in Python, Machine Learning, and Data Structures. Experienced in developing deep learning models and deploying AI solutions focused on computer vision and NLP. Quick learner and adaptable team player, eager to contribute to innovative tech projects
Government Engineering College, Barmer
Bachelor of Engineering · Computer Science Engineering - AI & ML
August 1, 2022 – June 30, 2026
Tiny Tots Senior Secondary School, Barmer
Senior Secondary (RBSE)
N/A – May 31, 2022
ACEM DRDO Project
AI/ML Intern
January 1, 2026 – March 1, 2026
Nashik, Maharashtra, India
SAIDE Laboratory, IIT Jodhpur
AI & Deep Learning Intern
June 1, 2025 – July 1, 2025
Jodhpur, Rajasthan, India
ESRC Workshop, MBM University
Robotics Intern
January 1, 2024 – December 31, 2024
Jodhpur, Rajasthan, India
A.R.I.A. - RAG Based Offline Chatbot
June 1, 2026 – Present
Developed an offline Retrieval-Augmented Generation system for intelligent document-based question answering.
Speech Emotion Recognition
June 1, 2026 – Present
Built a deep learning model to identify emotions such as happy, sad, angry and neutral from speech signals.
Fashion Recommendation System
June 1, 2026 – Present
Developed a recommendation system using similarity-based techniques to suggest fashion products.
Handwritten Mathematical Expression Recognition
June 1, 2026 – Present
Designed a deep learning solution to recognize handwritten mathematical expressions and generate structured outputs.
Google Generative AI
June 1, 2026 – Present
Computer & Network Security Essentials
IIT Kurukshetra
June 1, 2026 – Present
Cybersecurity Job Simulation
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong focus on AI/ML, particularly in Generative AI, Computer Vision, and NLP, which aligns well with an AI Engineer role. The diversity of projects (RAG chatbot, recommendation systems, emotion recognition, expression recognition) shows a broad interest within AI. Participation in workshops and certifications indicates a proactive learning attitude. The academic nature of all projects and internships, combined with the candidate's current student status (expected graduation 2026), suggests a strong foundational fit for an entry-level or junior AI Engineer role, but senior-level experience is lacking.
Soft Skills & Operational Fit
The candidate's resume highlights participation in leadership activities (TPO Placement Cell Coordinator) and community service (NSS), indicating potential for teamwork and responsibility. Technical presentations suggest good communication skills for explaining complex topics. However, without specific psychometric or English test scores, a comprehensive assessment of work attitude, stress handling, and professional communication clarity is limited.