I’m a developer with a strong foundation in Python, data analysis, AI-powered application development, backend engineering, and modern web technologies.

I enjoy working with data, building intelligent applications, and turning ideas into practical software. My full-stack background also helps me take data and AI workflows beyond experimentation and build them into usable applications, APIs, dashboards, and real-world products.

• Strong foundation in Python programming and data analysis
• Hands-on experience with data cleaning, transformation, exploratory analysis, and visualization
• Familiar with statistical and probability-based concepts used in data-driven applications
• Experience building AI-powered applications and LLM-based workflows
• Experience developing backend services and APIs using Flask and FastAPI
• Experience creating interactive data applications with Streamlit
• Full-stack development experience with React, Next.js, Node.js, and Express.js
• Interested in Data Science, Machine Learning, AI, NLP, and intelligent application development
• Focused on building practical, end-to-end projects rather than only theoretical implementations

Python, JavaScript, TypeScript, Java

NumPy, Pandas, data cleaning, data transformation, exploratory data analysis, statistical analysis

Matplotlib, Seaborn, analytical dashboards, data-driven visualizations

Statistics, probability, probability distributions, and quantitative analysis

SQL, Flask, FastAPI, Streamlit, REST APIs

My current focus is building practical experience across:

• Machine Learning fundamentals
• Data preprocessing and feature preparation
• Exploratory Data Analysis
• Model training and evaluation
• AI-powered application development
• Large Language Model (LLM) applications
• Retrieval-Augmented Generation (RAG)
• Vector search
• Tool calling and agent-based workflows
• Integrating AI models into real-world applications

Python • NumPy • Pandas • Matplotlib • Seaborn • SQL

Gemini • OpenAI APIs • RAG • Vector Search • AI Agents

Flask • FastAPI • Node.js • Express.js

React • Next.js • TypeScript • Tailwind CSS

MongoDB • PostgreSQL • SQL • Firebase • Supabase • Qdrant

Git • GitHub • VS Code • Docker

AI-powered conversational commerce platform

Tech: Python • FastAPI • Gemini 2.5 Flash • RAG • Qdrant • MongoDB • Next.js • Docker

• Built a conversational commerce system capable of handling product discovery and shopping interactions through natural language.
• Implemented RAG-based semantic product search using Qdrant vector search.
• Developed an AI agent capable of using backend tools for inventory queries, cart management, order tracking, and transactional workflows.
• Implemented streaming AI responses using Server-Sent Events (SSE).
• Developed backend services with FastAPI and Python.
• Integrated MongoDB for persistent application and conversation data.
• Added authentication, analytics, inventory management, and conversational checkout workflows.

🔗 GitHub: https://github.com/mashrufmohd/Omniverse

Collaborative AI-powered voice marketing platform

Tech: React • TypeScript • Node.js • Express • OpenAI Realtime API • Gemini • Twilio • WebSockets • Firebase

• Contributed to a production-style AI voice platform for creating and managing intelligent voice agents.
• Worked on AI-powered workflows including LLM script generation, real-time voice interactions, live transcription, and function calling.
• Implemented features around campaign management, lead processing, call monitoring, analytics, and sentiment analysis.
• Worked with WebSocket-based real-time communication and third-party AI/telephony integrations.
• Contributed across frontend and backend components in a collaborative development environment.

🔗 GitHub: https://github.com/Hiteshydv001/Voice.os

Full-stack telemedicine platform

Tech: React • Node.js • Express.js • MongoDB • Tailwind CSS • Cloudinary • Stripe • Razorpay

• Developed a multi-role healthcare platform supporting patients, doctors, and administrators.
• Implemented authentication, appointment booking, doctor management, profile management, and appointment tracking.
• Built separate user, doctor, and admin workflows with dashboard analytics.
• Integrated payment services and cloud-based media management.
• Developed REST APIs using Node.js and Express.js with MongoDB as the database.

🔗 GitHub: https://github.com/mashrufmohd/QuickConsult24-7

ATS-friendly resume builder

Tech: React • TypeScript • Vite • Tailwind CSS • Supabase

• Built a web application for creating professional resumes through an interactive resume builder.
• Implemented multiple resume templates with live preview.
• Added PDF export functionality and responsive layouts.
• Integrated Supabase for application data and authentication workflows.
• Designed the application with usability and ATS-friendly resume formatting in mind.

🔗 GitHub: https://github.com/mashrufmohd/BuildMyResume

I’m currently deepening my knowledge in:

• Machine Learning
• Data Science workflows
• Feature engineering
• Model evaluation
• AI/ML application development
• NLP and LLM-based systems
• Deploying intelligent applications

• Data Science internships
• AI/ML internships
• Data Analytics internships
• Python internships
• AI engineering internships
• Open-source collaboration
• Working with experienced engineers and data professionals

• LinkedIn: https://linkedin.com/in/mohammad-mashruf
• GitHub: https://github.com/MohammadMashruf

Learning continuously. Building practical AI and data-driven applications.