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Mohd Arman
New Delhi, India
As a Full-Stack Developer & AI/ML Engineer, I specialize in React, Node.js, Python, and AI-driven solutions. With 1 year of experience, I’ve built scalable applications, integrated REST APIs, and optimized performance using MongoDB, AWS, and Redux. Skilled in Machine Learning, Deep Learning, NLP, and Generative AI, I develop computer vision and AI-powered applications. Passionate about innovation, I strive to create impactful, efficient, and scalable solutions. Let’s connect! 🚀
CodersRank Score
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This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
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CodersRank Rank
Top 11%
Highest experience points: 0 points,
0 activities in the last year
List your work history, including any contracts or internships
INZINT PVT LTD
Feb 2024 - Feb 2025 (1 year)
Associate Software Developer
– Excelled in full-stack development, mastering HTML, CSS, JavaScript, Python, React, Node.js, Express, RESTAPI, and MongoDB. Led the development of Scraping Assistant (social media data extraction), Alpha (Consolidate IT) (data consolidation platform), and Natours Travel Application, optimizing backend performance and scalability with Express, Nodejs, APIs, and data modeling.
– Gained expertise in AI/ML, integrating LangChain, Llama-Index, and RAG for advanced LLM applications. Spearheaded AI/ML projects with a team of five and developed individual AI-driven projects using Deep Learning, Reinforcement Learning, Transformers, and Self-Supervised Learning, deploying scalable solutions via Docker and AWS (EC2, S3, Lambda).
– Gained expertise in AI/ML, integrating LangChain, Llama-Index, and RAG for advanced LLM applications. Spearheaded AI/ML projects with a team of five and developed individual AI-driven projects using Deep Learning, Reinforcement Learning, Transformers, and Self-Supervised Learning, deploying scalable solutions via Docker and AWS (EC2, S3, Lambda).
UNIcompiler
Jun 2022 - Aug 2022 (2 months)
Python Engineer
Tevatron Technologies Pvt. Ltd.
May 2022 - Jul 2022 (2 months)
Web Development Intern
Add some compelling projects here to demonstrate your experience
Shopify Chatbot with LangChain
Apr 2024 - Apr 2024
Overview:
Built an advanced interactive chatbot for a Shopify store, integrating LangChain and Google Generative AI to enhance customer engagement and provide dynamic product recommendations.
Explore the project on GitHub: [https://github.com/MohdArman123/Shopify-recommender-Chatbot]
Key Features:
Personalized Product Recommendations: Utilizes NLP to analyze user queries and suggest relevant products from the Shopify catalog.
Context-Aware Conversations: Maintains session history for contextually rich and personalized interactions.
Real-Time Response Handling: Delivers real-time product information with URLs and images, formatted in a user-friendly manner.
Robust Safety Controls: Implements safety settings to manage various content types and ensure appropriate interactions.
Technologies Used:
Backend: Flask
AI & NLP: LangChain, Google Generative AI
Database: MongoDB
Search Engine: FAISS
Highlights:
Created a responsive and intuitive chat interface with HTML, Bootstrap, and custom CSS.
Integrated advanced NLP capabilities to handle diverse customer queries and enhance user experience.
Deployed a scalable solution with real-time message handling and dynamic content display.
Built an advanced interactive chatbot for a Shopify store, integrating LangChain and Google Generative AI to enhance customer engagement and provide dynamic product recommendations.
Explore the project on GitHub: [https://github.com/MohdArman123/Shopify-recommender-Chatbot]
Key Features:
Personalized Product Recommendations: Utilizes NLP to analyze user queries and suggest relevant products from the Shopify catalog.
Context-Aware Conversations: Maintains session history for contextually rich and personalized interactions.
Real-Time Response Handling: Delivers real-time product information with URLs and images, formatted in a user-friendly manner.
Robust Safety Controls: Implements safety settings to manage various content types and ensure appropriate interactions.
Technologies Used:
Backend: Flask
AI & NLP: LangChain, Google Generative AI
Database: MongoDB
Search Engine: FAISS
Highlights:
Created a responsive and intuitive chat interface with HTML, Bootstrap, and custom CSS.
Integrated advanced NLP capabilities to handle diverse customer queries and enhance user experience.
Deployed a scalable solution with real-time message handling and dynamic content display.
AI Fashion Recommender Chatbot
- Present
Fashion Recommendation Chat is a web application that provides fashion recommendations based on user preferences. It allows users to input their gender and preferences, and then displays outfit recommendations for various occasions.
E-commerce Website
- Present
Project Description
I developed a full-stack eCommerce website to provide a seamless online shopping experience.
Technologies Used
Frontend: React
Backend: Node.js (Express.js, REST API)
Database: MongoDB
State Management: Redux
Highlights
User-Friendly Interface: Created a responsive and intuitive shopping interface using React.
Efficient Backend: Built a RESTful API with Express.js for robust backend services.
Database Integration: Managed product, user, and order data with MongoDB.
State Management: Utilized Redux for efficient state management across the application.
I developed a full-stack eCommerce website to provide a seamless online shopping experience.
Technologies Used
Frontend: React
Backend: Node.js (Express.js, REST API)
Database: MongoDB
State Management: Redux
Highlights
User-Friendly Interface: Created a responsive and intuitive shopping interface using React.
Efficient Backend: Built a RESTful API with Express.js for robust backend services.
Database Integration: Managed product, user, and order data with MongoDB.
State Management: Utilized Redux for efficient state management across the application.
This section lets you add any degrees or diplomas you have earned.
Sharda University
Bachelor of Technology - BTech, Computer Science
Jan 2020 - Jan 2024
Aaryan International School Om Vihar, New Delhi (CBSE)
Senior Secondary School , Science
Jan 2018 - Jan 2020
AWS Machine Learning Foundation 2022
Oct 2022
Accenture Nordics - Developer Job Simulation
Sep 2022