Open to opportunities

Devansh tripathi

@devanshtripathi

Entry-level AI/ML and data science candidate building RAG and intrusion-detection systems; eager to learn and contribute in teams.

India

Message

What I'm looking for

I’m seeking an entry-level role where I can apply my work ethic and eagerness to learn in a collaborative team, using my AI/ML, RAG, and security foundations to build real-world solutions while growing fast.

I’m a B.Tech student specializing in Artificial Intelligence & Data Science, and I’m driven by building practical AI solutions that people can use right away. In my projects, I built an “AI PDF Chatbot (RAG-Based)” that enables natural language Q&A over uploaded PDFs using PDF parsing, text chunking, HuggingFace embeddings, and a FAISS vector database.

I also developed an “ML-Based Network Intrusion Detection System” using NSL-KDD and a Random Forest classifier, including preprocessing like label encoding and feature selection, achieving “90%+ accuracy” on test data. Through virtual internships in Google AI-ML, AWS, and Fortinet network security, I strengthened my ML evaluation skills (accuracy, precision, recall, F1-score), hands-on AWS fundamentals (EC2, S3, IAM, Lambda, VPC), and network security concepts like firewalls, VPNs, and IDS/IPS—supported by my “AWS Certified AI Practitioner (AIF-C01)” credential.

Experience

Work history, roles, and key accomplishments

AWS Cloud Virtual Internship

AWS

Oct 2025 - Dec 2025 (2 months)

Gained hands-on experience with AWS core services for cloud infrastructure management, including compute, storage, identity, serverless, and networking. Explored cloud security topics along with auto-scaling and cost optimization strategies using AWS console and CLI tools.

EC2 S3 IAM Lambda VPC Cloud Security Cost Optimization AWS CLI

Google AI-ML Virtual Internship

Google

Jul 2025 - Sep 2025 (2 months)

Explored supervised and unsupervised machine learning and built/evaluated models on real-world datasets using common Python data and ML libraries. Assessed model performance using accuracy, precision, recall, and F1-score.

Supervised Learning Unsupervised Learning Models scikit learn NumPy Pandas Model Evaluation Accuracy Precision Recall F1 Score

Fortinet Network Security Associate

Fortinet

Jan 2025 - Mar 2025 (2 months)

Studied enterprise security fundamentals including firewalls, VPNs, and IDS/IPS, along with core networking concepts and protocols. Learned network access control, perimeter security, and Fortinet security architecture.

Firewalls VPN IPS TCP IP DNS HTTP Network Access Control Perimeter Security