Salman Masood
Computer Science (AI) student passionate about building practical machine learning models, end-to-end intelligent voice agents, and turning real-world problems into intelligent solutions.
class AIMLEngineer:
def __init__(self):
self.name = "Salman Masood"
self.role = "AI/ML Intern"
self.focus = ["Machine Learning", "NLP", "Data Science"]
self.tools = ["Python", "Scikit-learn", "FastAPI"]
def build_intelligent_system(self, real_world_problem):
# Transform problem into an AI-powered solution
model = train_and_deploy(real_world_problem)
return model.deliver_impact()
Passionate about turning raw data into actionable intelligence.
I’m a Computer Science (AI) student deeply immersed in the world of Artificial Intelligence and Machine Learning. With hands-on experience in mathematical and computational libraries like NumPy, Pandas, Matplotlib, and Seaborn, I bridge algorithmic theory with practical software solutions.
Currently expanding my expertise in Machine Learning models, Deep Learning paradigms, and intelligent agent workflows. Whether building voice assistants powered by Whisper and fast LLM inference or creating high-throughput scraping pipelines with FastAPI, I focus on shipping robust, production-ready software.
I believe the most exciting AI solutions are those that solve concrete human problems. My goal is to work with forward-thinking teams as an AI/ML intern or engineer to develop scalable, intelligent systems.
AI Voice & LLMs
Whisper & Groq/Ollama
Data Analytics & EDA
NumPy, Pandas & Seaborn
Backend & Scraping
FastAPI & BeautifulSoup
Continuous Growth
Exploring new AI models
Skills & Technologies
The programming languages, frameworks, mathematical toolkits, and platforms I work with.
Languages
Programming foundations
ML & Data Science
Analysis, models & math
Tools & Platforms
Workflow & developer stack
Featured Projects
Hands-on machine learning systems, automated data extraction, and interactive full-stack apps.
Speech-to-Text • LLM Reasoning • Voice Synthesis
AI Voice Assistant
A full-duplex voice-based conversational AI agent. Captures acoustic speech in real-time, converts audio to text with high accuracy via Faster-Whisper, processes intelligent reasoning using fast LLM inference (Groq/Ollama), and returns synthesized natural speech response.
Technologies Used
FastAPI REST Endpoints • BeautifulSoup • React Frontend
E-Commerce Product Scraper
An end-to-end automated scraping solution designed to collect live product listings, specifications, and prices across e-commerce platforms. Features a high-speed Python FastAPI backend powering a clean, reactive frontend user interface.
Technologies Used
Experience & Education
My academic training and hands-on professional experiences in technology and artificial intelligence.
AI / ML Intern
Industry Training & Projects
Applying machine learning algorithms to real datasets, conducting exploratory data analysis, designing clean feature pipelines, and testing state-of-the-art inference APIs.
Computer Science (AI)
Core Computer Science & Machine Intelligence
Focusing on Machine Learning, Artificial Intelligence, Data Structures & Algorithms, Object-Oriented Programming (C++/Python), Linear Algebra, and Database Management (MySQL).
Let's create something extraordinary together.
I'm actively looking for internships, research roles, and collaborative projects in Artificial Intelligence, Machine Learning, and Data Science.
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