Sameer Prajapati
ML Engineer
3rd-year Computer Engineering student at VGEC (2027), passionate about LLMs, agentic AI, and machine learning. I build end-to-end ML applications and AI agents using LangChain, LangGraph, and RAG pipelines - and seek opportunities to contribute to real-world intelligent systems.
Who I am
A little background on me, my education, and what drives me.
3rd-year Computer Engineering student at VGEC (2027), passionate about LLMs, agentic AI, and machine learning. I build end-to-end ML applications and AI agents using LangChain, LangGraph, and RAG pipelines - and seek opportunities to contribute to real-world intelligent systems.
I enjoy working across the full AI stack - from data pipelines and model training to deploying LLM-powered agents that solve real problems. Whether it's RAG architectures, LangGraph workflows, or classical ML - I build things that actually work in production.
Education
Bachelor of Engineering — Computer Engineering
Vishwakarma Government Engineering College (VGEC)
Expected May 2027
12th Science
Sheth CM High School & Higher Secondary School, Sector 23, Gandhinagar
10th
Sheth CM High School, Gandhinagar
Coursework
Interests
Skills & Technologies
Tools and frameworks I use to build and ship ML products.
Languages
Libraries
ML Techniques
Data & Visualization
Deployment & Tools
Databases
Projects
End-to-end ML applications built and deployed independently.
Certifications
Courses and certifications completed to sharpen my skills.
Data Analytics Consultant Simulation
Deloitte | Forage
July 2025- Led analysis of 3 real-world business datasets, identifying key trends and delivering structured, client-facing recommendations.
- Designed and presented 2 KPI dashboards, translating raw data into clear visual narratives for non-technical stakeholders.
- Demonstrated consulting-style workflow: scoped problem, cleaned data, and delivered findings within a defined timeline.
Data Science & Analysis Program
HP LIFE
June 2025- Independently implemented and compared 3 supervised ML models (linear regression, decision trees, k-NN), selecting best performer based on F1-score and accuracy metrics.
- Completed end-to-end ML exercises — data preprocessing, model training, and cross-validation — across multiple algorithm types.
Get in Touch
Have an opportunity or just want to say hi? My inbox is open.