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Motivated B.E. Computer Science (AI-ML) student seeking entry-level AI Research Engineer opportuniti
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Motivated B.E. Computer Science (AI-ML) student seeking opportunities to apply hands-on skills in machine learning, deep learning, and computer vision to solve real-world problems. Passionate about building intelligent systems and contributing to impactful data-driven projects.
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (SCSVMV)
B.E. Computer Science and Engineering (AI & ML) · Computer Science and Engineering
August 1, 2023 – June 30, 2027
DeepGuard - Multimodal Forensic Deepfake Detection System
January 1, 2025 – June 1, 2026
Built a multimodal deepfake detection system (Sach-Al) analyzing Video, Audio, and Image streams using a late-fusion architecture combining EfficientNet-B0, ResNet-18, and ResNeXt-50 + BiGRU models for high-confidence forensic verdicts. Implemented a weighted multimodal fusion layer (MLP) achieving a best validation AUC of 0.7243 and 70.4% accuracy; deployed a real-time Streamlit dashboard and FastAPI REST endpoint for batch media processing. Engineered a robust training pipeline with resumable checkpointing, mixed-precision FP16 support for NVIDIA GPUs, and automatic model versioning to handle large-scale deepfake datasets efficiently.
View ProjectClimate Data EDA & Weather Prediction
January 1, 2024 – December 31, 2025
Performed comprehensive Exploratory Data Analysis (EDA) on a climate dataset using Pandas, NumPy, Matplotlib, and Seaborn to identify weather trends, seasonal patterns, and feature correlations. Developed a machine learning model with Scikit-learn for weather prediction by engineering features from raw climate data and building end-to-end data cleaning, scaling, and training pipelines. Generated detailed visualizations including temperature trend plots, rainfall distribution charts, and correlation heatmaps; compiled findings into a full project report.
View ProjectOpenCV Bootcamp - OpenCV University
OpenCV University
February 22, 2026 – Present
Machine Learning with Python – IBM SkillsBuild
IBM SkillsBuild
June 10, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects, particularly the DeepGuard system, show a strong interest in cutting-edge AI applications and a drive to tackle complex problems. The diversity in project types (deepfake detection, climate data analysis) indicates a broad interest in AI/ML domains. The focus on AI/ML in their B.E. degree and certifications aligns well with an AI Research Engineer role, suggesting a good cultural fit for an innovation-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and applying advanced AI/ML concepts, as evidenced by their project work and certifications. Their objective statement highlights a passion for solving real-world problems and contributing to data-driven projects, indicating a good operational fit for a research-oriented role. The detailed project descriptions suggest good communication of technical work.