Vipin Kumar Soni
Vipin Kumar Soni
About
Detail
Machine Learning Engineer | Technical Trainer (DSA/Python) @TeachToTech | MERN Full-Stack Developer | LLM & Applied AI | Building Agentic Tools
Delhi, India
I'm a Machine Learning Engineer and Technical Trainer with a strong foundation in Artificial Intelligence, Machine Learning, NLP, and Full-Stack Web Development (MERN). I build ML-driven systems and train the next generation of engineers to do the same.
What I do I work at the intersection of building and teaching. On the engineering side, I design and ship ML/NLP-based solutions and full-stack web applications. On the training side, I run industry-ready DSA, Python, and technical training programs at TeachToTech, helping learners go from fundamentals to job-ready engineers.
Experience At TeachToTech, I've served as an SDE and DSA Trainer (since December 2025) and previously as an SDE and Python Trainer, designing and delivering structured coding and machine learning curricula.
As an AI Intern at Prodigal AI, I built interactive ML-powered frontends using Streamlit and automated workflows via Reddit API integration.
At IBM, I worked on chatbot development using NLP and AI frameworks, and was recognized for performance and efficiency during my internship.
At Xero Technologies, I improved site load speeds by 30% through responsive web development.
I'm also a co-founder of Devfrogs (since 2020) and IP Exam (since 2023), where I've led product and technical strategy from the ground up.
Skills & Focus Areas Machine Learning, Natural Language Processing, Python, MERN Stack, Technical Training & Curriculum Design, Prompt Engineering (Vertex AI), Start-up Leadership.
Education B.Tech in Artificial Intelligence & Machine Learning, University School of Automation and Robotics (USAR), 2021–2025.
I recently co-authored PestReKNet-X, published in Royal Society Open Science — an explainable AI model for crop pest detection using Grad-CAM, LIME, and a custom KAN layer.
I'm open to Machine Learning Engineer and Technical Trainer roles, and always happy to connect with fellow engineers, educators, and founders.
A few notes on why it's structured this way:
Opens with your two target job titles in the first line — that's the highest-weighted text for LinkedIn's search.
First person throughout (per LinkedIn's own best-practice guidance).
Keeps your research paper mention — that's a strong differentiator recruiters notice.
Ends with an explicit "open to" line, which helps both human recruiters skimming and search matching.
What I do I work at the intersection of building and teaching. On the engineering side, I design and ship ML/NLP-based solutions and full-stack web applications. On the training side, I run industry-ready DSA, Python, and technical training programs at TeachToTech, helping learners go from fundamentals to job-ready engineers.
Experience At TeachToTech, I've served as an SDE and DSA Trainer (since December 2025) and previously as an SDE and Python Trainer, designing and delivering structured coding and machine learning curricula.
As an AI Intern at Prodigal AI, I built interactive ML-powered frontends using Streamlit and automated workflows via Reddit API integration.
At IBM, I worked on chatbot development using NLP and AI frameworks, and was recognized for performance and efficiency during my internship.
At Xero Technologies, I improved site load speeds by 30% through responsive web development.
I'm also a co-founder of Devfrogs (since 2020) and IP Exam (since 2023), where I've led product and technical strategy from the ground up.
Skills & Focus Areas Machine Learning, Natural Language Processing, Python, MERN Stack, Technical Training & Curriculum Design, Prompt Engineering (Vertex AI), Start-up Leadership.
Education B.Tech in Artificial Intelligence & Machine Learning, University School of Automation and Robotics (USAR), 2021–2025.
I recently co-authored PestReKNet-X, published in Royal Society Open Science — an explainable AI model for crop pest detection using Grad-CAM, LIME, and a custom KAN layer.
I'm open to Machine Learning Engineer and Technical Trainer roles, and always happy to connect with fellow engineers, educators, and founders.
A few notes on why it's structured this way:
Opens with your two target job titles in the first line — that's the highest-weighted text for LinkedIn's search.
First person throughout (per LinkedIn's own best-practice guidance).
Keeps your research paper mention — that's a strong differentiator recruiters notice.
Ends with an explicit "open to" line, which helps both human recruiters skimming and search matching.
