Mohd Danish

Aspiring Software Engineer

Dehradun, Uttarakhand 0+ yrs exp 86 · Excellent

About

Computer Engineering undergraduate with strong fundamentals in software development, Artificial Intelligence, and full-stack web development. Passionate about building scalable applications using Python, JavaScript, and modern AI technologies. Seeking a Software Engineer role where I can contribute to innovative projects while continuously enhancing my technical and problem-solving skills.

Skills & Expertise (23)

Retrieval-Augmented Generation Expert

9.0/10

0.5

Years Exp

Python Advanced

8.0/10

0.5

Years Exp

JavaScript Advanced

8.0/10

Years Exp

HTML5 Advanced

8.0/10

Years Exp

CSS3 Advanced

8.0/10

Years Exp

Streamlit Advanced

8.0/10

0.5

Years Exp

FAISS Advanced

8.0/10

0.5

Years Exp

Prompt Engineering Advanced

8.0/10

0.5

Years Exp

ReactJS Intermediate

7.5/10

0.5

Years Exp

VS Code Intermediate

7.0/10

Years Exp

GitHub Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Data Structures & Algorithms Intermediate

6.5/10

MS PowerPoint Intermediate

6.0/10

Years Exp

MS Excel Intermediate

6.0/10

Years Exp

MS Word Intermediate

6.0/10

Years Exp

OOP Intermediate

6.0/10

DBMS Intermediate

5.5/10

SQL Intermediate

5.5/10

C++ Intermediate

5.5/10

Computer Networks Intermediate

5.0/10

Operating systems Intermediate

5.0/10

Java Intermediate

5.0/10

Work Experience

Front-End Developer

Myntra E-Commerce Clone

Ongoing - Present

Developed a responsive front-end clone of the Myntra e-commerce platform using HTML, CSS, and JavaScript. Implemented interactive navigation with hover-based category highlighting and reusable UI components for improved user experience. Currently extending the application by adding authentication, shopping cart functionality, product filtering, and other core e-commerce features.

AI-Powered Agricultural Chatbot Developer

AGRIBOT

Jan 2026 - Jun 2026

Developed an AI-powered agricultural chatbot using Retrieval-Augmented Generation (RAG) to deliver context-aware and reliable responses from agricultural documents. Implemented semantic document retrieval using FAISS vector database and Hugging Face Embeddings for efficient knowledge search. Designed the Streamlit-based user interface and contributed to chatbot parameter tuning, testing, debugging, and validation to improve response quality. Collaborated in a four-member team throughout the four-month capstone project following software development best practices.