AI/ML Engineer • NLP • Production AI

Vamshi R Yadav

Motivated AI/ML engineer with hands-on experience building production-ready applications using NLP, transformer models, and cloud technologies. I specialize in end-to-end solutions that move from research to deployment while delivering measurable real-world impact.

About Me

I am pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning at Mysore University School of Engineering. I enjoy designing intelligent systems that automate complex processes, from extracting insights out of legal documents to detecting misinformation at scale. My focus is on reliability, clarity, and building systems that help people make better decisions.

I bring strengths in NLP, transformers, and cloud deployment, and I work well in collaborative environments where technical communication and problem solving are critical.

Quick Facts

  • LocationMysore, Karnataka, India
  • EducationB.E. in AI & ML, Expected 2026
  • CGPA8.0 / 10.0
  • CourseworkMachine Learning, Deep Learning, NLP, Data Structures & Algorithms, Cloud Computing, Software Engineering

Skills

A focused toolkit spanning AI, backend engineering, and cloud deployment.

Programming Languages

PythonC++CJava

Machine Learning & AI

Natural Language ProcessingTransformers (BART, T5)Scikit-learnTensorFlowComputer VisionSentiment Analysis

Web Development

FlaskFastAPIHTMLCSSChrome Extension Development

Cloud & DevOps

AWSGCPAzureDockerCI/CD

Tools & Technologies

GitGitHubREST APIsWeb ScrapingPDF/Document Processing

Soft Skills

Problem SolvingTeam CollaborationTechnical CommunicationAgile Development

Projects

Practical ML systems designed to make complex information more accessible.

Terms & Conditions Analyzer — AI Chrome Extension

2024

View on GitHub

Problem

Users often accept lengthy digital agreements without understanding key clauses or risks.

Outcome

Delivered structured summaries, risk tagging for data privacy and liability, and sectioned outputs for better readability and awareness.

What I Built

Built a production-ready Chrome extension that extracts and analyzes terms in real time, backed by a FastAPI service with sub-2-second response times.

Tech Stack

Chrome APIsFastAPIBARTNLP

NewsCred+ — Fake News Detection & Credibility Scoring

2024

View on GitHub

Problem

News consumers need reliable ways to detect misinformation and assess source credibility.

Outcome

Achieved 85%+ accuracy with credibility scoring, cloud deployment for real-time processing, and feedback-based retraining to adapt to new patterns.

What I Built

Engineered a multi-modal verification system that evaluates articles, performs web scraping, reverse image checks, and sentiment analysis.

Tech Stack

PythonNLPMLFlaskCloud

Smart Study Notes Summarizer

2024

View on GitHub

Problem

Students struggle to quickly digest lengthy academic PDFs and lecture notes.

Outcome

Improved readability by 60% and optimized inference to summarize 50+ page documents in under 10 seconds without sacrificing quality.

What I Built

Created an intelligent summarization tool with robust PDF/DOCX extraction and cleaning to generate concise, structured summaries.

Tech Stack

PythonNLPBARTT5Transformers

Education

Mysore University School of Engineering

Bachelor of Engineering in Artificial Intelligence and Machine Learning

Expected Graduation: 2026

CGPA: 8.0 / 10.0

Relevant Coursework: Machine Learning, Deep Learning, Natural Language Processing, Data Structures & Algorithms, Cloud Computing, Software Engineering

Contact

I'm open to software engineering and ML engineering opportunities.