Akash Kashyap

Akash Kashyap

AI and Machine Learning Intern

IndiaArtificial Intelligence and Data Science
1roles
42skills
3education
7credentials

About

Aspiring engineering graduate with a strong foundation in technical concepts and hands-on experience through academic projects and an AI/ML internship. Seeking an entry-level opportunity to apply skills and contribute to impactful projects.

Experience

AI and Machine Learning Intern

KODACY SPACE

Jul 2025 - Aug 2025

Owned the full ML pipeline on real-world datasets, including data cleaning, feature engineering, model training with Scikit-learn, cross-validation, and evaluation reporting. Reduced model overfitting through regularization and hyperparameter tuning, improving validation-set generalization. Prototyped a generative AI proof of concept using LLMs and Oracle Cloud tools and presented findings to the technical team.

Education

Panimalar Engineering College, Chennai

B.Tech, Artificial Intelligence and Data Science

2022 - 2026

CGPA: 7.5 / 10.0. Relevant coursework: Machine Learning, Computer Vision, NLP, DBMS, Data Structures, Cloud Computing.

Class XII - State Board

2022

76.4%

Class X - State Board

2020

71.6%

Skills

PythonJavaSQLHTMLCSSYOLOv8OpenCVTensorFlowNLPDeep LearningComputer VisionNeural NetworksPandasNumPyMatplotlibSeabornPower BIData VisualizationLLMsPrompt EngineeringRAGHugging Face TransformersFlaskREST APISQLiteMySQLVirusTotal APIAbuseIPDBShodanNetwork MonitoringpsutilGitGitHubJupyter NotebookVS CodeOracle CloudTF-IDFCosine SimilaritySVMNamed Entity RecognitionPDF ParsingScikit-learn

Projects

Smart Resume Analyzer

Co-authored and published a peer-reviewed AI system for automated resume screening and job recommendation in an indexed international journal. Designed an NLP pipeline using TF-IDF vectorization, Cosine Similarity, and Named Entity Recognition to extract skills, experience, and qualifications from PDF resumes. Trained and benchmarked SVM and Logistic Regression classifiers, with SVM achieving superior accuracy in resume-to-job-description matching. Built a ranked job recommendation engine using similarity scoring.

AI-Based Pothole Detection System

Engineered a real-time road defect detection pipeline using YOLOv8 and OpenCV, achieving 92% classification accuracy on a held-out test dataset. Deployed a Flask web application for video upload, inference, and annotated output rendering, reducing manual road inspection effort by 80%.

Real-Time Cybersecurity Monitoring Dashboard

Architected a threat intelligence platform integrating VirusTotal, AbuseIPDB, and Shodan APIs for automated IP reputation scoring and file-hash risk analysis. Built a Flask REST backend with psutil-based live system monitoring and SQLite threat logs. Delivered Power BI dashboards for threat visualization, reducing manual analyst monitoring effort by 60%.