The profile of Soumya and their contact details have been verified by our experts
Soumya
- Rate N$26
- Response 13h
-
Students2
Number of students Soumya has accompanied since arriving at Superprof
Number of students Soumya has accompanied since arriving at Superprof
N$26/hr
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- computer programming
- html
- programming languages
- artificial intelligence
- c#.net
I teach students how to build production web apps (C#, .NET Core, Web API, SQL, HTML, JavaScript, Angular) and then apply data science, ML and transformer/LLM techniques to add intelligent features li
- computer programming
- html
- programming languages
- artificial intelligence
- c#.net
Lesson location
About Soumya
Practical, project-driven online instructor who bridges modern full-stack development with state-of-the-art NLP and LLM systems. I teach students how to build production web apps (C#, .NET Core, Web API, SQL, HTML, JavaScript, Angular) and then apply data science, ML and transformer/LLM techniques to add intelligent features like RAG, agents and conversational apps. What I teach (high level) Full-stack & Web: C#, .NET Core, Web API design, SQL database design & optimization, HTML/CSS, JavaScript, Angular frontends, deployment and CI/CD. Statistics & Data: Foundations of probability & statistics, exploratory data analysis, cleaning and preprocessing for ML. Machine Learning: Supervised/unsupervised methods, model evaluation, feature engineering, production-ready pipelines. Deep Learning & NLP: Neural networks for NLP, Transformer architecture deep dive, sequence modeling, fine-tuning. Large Language Models & Systems: Prompt engineering, retrieval-augmented generation (RAG) architectures, LangChain framework mastery, Agentic AI with LangGraph, advanced RAG patterns and production considerations. Teaching style & outcomes Hands-on: each concept is paired with code labs and mini-projects (API endpoints, Angular UI, ETL pipelines, fine-tuning small models, RAG demo). Real-world focus: from designing Web APIs and SQL schemas to deploying LLM-powered features (search + context + prompts) in a secure, scalable way. Progressive learning path: start with foundations (stats, SQL, C#) then move to ML essentials, Transformers, and finally RAG/agents & LangChain/LangGraph. Deliverables students can show: working web app with ML/NLP features, productionized RAG pipeline, and a portfolio-ready project.
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About the lesson
- Primary Education
- Junior Secondary Education
- Senior Secondary
- +20
levels :
Primary Education
Junior Secondary Education
Senior Secondary
Première
Senior Secondary Certificate NSSC
BTS
Higher education
Adult Education
Bachelor
Master
Diploma
PhD
Other
GDL
Qualified Lawyer Transfer Scheme
MBA post graduate
Pre-primary education
Beginner
Intermediate
Advance
Professional
Other
Child
- English
All languages in which the lesson is available :
English
Practical, project-driven online instructor who bridges modern full-stack development with state-of-the-art NLP and LLM systems. I teach students how to build production web apps (C#, .NET Core, Web API, SQL, HTML, JavaScript, Angular) and then apply data science, ML and transformer/LLM techniques to add intelligent features like RAG, agents and conversational apps.
What I teach (high level)
Full-stack & Web: C#, .NET Core, Web API design, SQL database design & optimization, HTML/CSS, JavaScript, Angular frontends, deployment and CI/CD.
Statistics & Data: Foundations of probability & statistics, exploratory data analysis, cleaning and preprocessing for ML.
Machine Learning: Supervised/unsupervised methods, model evaluation, feature engineering, production-ready pipelines.
Deep Learning & NLP: Neural networks for NLP, Transformer architecture deep dive, sequence modeling, fine-tuning.
Large Language Models & Systems: Prompt engineering, retrieval-augmented generation (RAG) architectures, LangChain framework mastery, Agentic AI with LangGraph, advanced RAG patterns and production considerations.
Teaching style & outcomes
Hands-on: each concept is paired with code labs and mini-projects (API endpoints, Angular UI, ETL pipelines, fine-tuning small models, RAG demo).
Real-world focus: from designing Web APIs and SQL schemas to deploying LLM-powered features (search + context + prompts) in a secure, scalable way.
Progressive learning path: start with foundations (stats, SQL, C#) then move to ML essentials, Transformers, and finally RAG/agents & LangChain/LangGraph.
Deliverables students can show: working web app with ML/NLP features, productionized RAG pipeline, and a portfolio-ready project.
See more
Rates
Rate
- N$26
Pack prices
- 5h: N$130
- 10h: N$260
online
- N$26/h
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