AI Engineer with less than a year in Generative AI & Machine Learning
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AI/ML-focused Computer Science graduate with hands-on experience in generative AI, generative AI, image model training, and model evaluation workflows. Proficient in Python, PyTorch/TensorFlow, and Hugging Face, with experience training and benchmarking models across platforms. Skilled in data preprocessing, prompt engineering, and performance analysis for real-world AI use cases. Currently seeking opportunities to apply and expand my expertise in problem-solving, system design, and emerging technologies.
Vellore Institute of Technology
Bachelors · Computer Science with specialization in AI & ML
N/A – June 30, 2025
SBOA School and Junior College
Higher Secondary
N/A – May 31, 2021
GoX.ai
AI Research Intern
January 1, 2026 – Present
Chennai, Tamil Nadu, India
Eucto
Web Development Intern
August 1, 2023 – September 1, 2023
Chennai, Tamil Nadu, India
Emotionally Intelligent Tutoring System (EI-ITS)
June 8, 2026 – Present
Built an AI-based tutoring system by integrating the Gemini API to produce dynamic, context-aware instructional content in response to learner queries. Combined Gemini's outputs with real-time emotion detection (facial and vocal) to adapt responses based on the learner's emotional state. Enabled personalized, emotionally responsive tutoring by fusing generative content with multimodal emotional input analysis.
Ensemble-Based Deep Learning Model for STEMI Detection
June 8, 2026 – Present
Developed an ensemble-based deep learning framework to automate detection of ST-Elevation Myocardial Infarction (STEMI) from ECG signals, achieving 94.3% classification accuracy. Performed signal preprocessing, spectrogram generation, and deep feature extraction to improve model accuracy. Integrated DenseNet, XceptionNet, and ResNet to capture both spatial and temporal features, enhancing classification performance and generalizability
Query-Based Video Transcript Summarization
June 8, 2026 – Present
Designed a dual-stage summarization system to extract query-relevant summaries from long video transcripts. Used Sentence Transformers for extractive summarization and T5 for abstractive summarization to generate concise, context-aware outputs. Trained the model on the QMSum dataset to enhance multi-domain generalization and summarization quality.
AWS Certified Cloud Practitioner
Amazon
January 1, 2024 – Present
MERN Full Stack
Ethnus
October 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in diverse AI applications, from educational systems to medical diagnostics and NLP. The internship at GoX.ai aligns well with an AI-focused role, demonstrating practical application of generative AI. The web development internship, while not directly AI-related, shows a breadth of technical skills. The candidate's profile indicates a proactive learner with certifications and achievements, suggesting a good fit for a dynamic, innovation-driven environment. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, multi-faceted problems (e.g., EI-ITS, STEMI detection). The AI Research Intern role indicates a structured approach to model evaluation and platform analysis. The academic projects demonstrate problem-solving skills and an ability to integrate various technologies. However, without direct behavioral assessment data, specific soft skills like teamwork, leadership, or adaptability cannot be definitively assessed.