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AI Engineer with 1+ years in Machine Learning & 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
Artificial Intelligence and Machine Learning graduate (B.Tech, SRM Institute 2025) with hands-on experience building AI-based solutions using Python, TensorFlow, Keras, CNN, LSTM, XGBoost, and NLP. Published researcher at PCCDA 2025. Proficient in data analysis, model training, and end-to-end ML pipeline development. Seeking AI/ML, Data Science, or Software Development roles to deliver impactful, intelligent systems.
SRM Institute of Science and Technology, Chennai
Bachelor of Technology · Artificial Intelligence & Machine Learning
September 1, 2021 – May 31, 2025
AI-Based Movie Censorship System
January 1, 2024 – May 31, 2025
Built an end-to-end content moderation pipeline to detect profanity, violence, and sensitive scenes in movies with 94% frame-classification accuracy using CNN-based visual analysis. Implemented LSTM-based offensive language detection on subtitles, reducing false positives by 30% compared to rule-based filtering. Applied NLP techniques for subtitle and transcript analysis; generated timestamp-based outputs enabling automated frame-level censorship. Research accepted and published at the 5th International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2025).
AI Faculty Recommendation System
August 1, 2023 – December 31, 2023
Designed and trained an XGBoost recommendation model to match students with faculty based on research interests and academic profiles, achieving 88% match-accuracy. Engineered features from student preference surveys and faculty publication data, improving recommendation relevance by 25% over baseline collaborative filtering. Developed a responsive web interface for real-time recommendation display, serving 200+ test users during evaluation.
Machine Learning Specialization
Coursera
June 1, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 1, 2026 – Present
Python for Data Science
IBM / Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background is highly aligned with an AI Engineer role, focusing on Artificial Intelligence & Machine Learning. Project diversity, including a content moderation system and a recommendation system, showcases a breadth of application areas within AI. The use of various ML/DL frameworks and tools indicates adaptability. The publication and certifications further demonstrate a commitment to continuous learning and staying current with industry trends, which aligns well with a growth-oriented culture. However, the lack of professional experience means cultural fit is primarily inferred from academic and project activities.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems (e.g., end-to-end content moderation pipeline). Participation in hackathons and workshops suggests a proactive and collaborative attitude. The publication demonstrates research and problem-solving skills. However, without specific psychometric or English test scores, a detailed assessment of communication, logical reasoning, stress handling, and team collaboration is not possible.