Hi there, I'm Talha 👋

AI Engineer @ Jetlink | Prompt Engineer

"Every great AI solution begins with a simple question."

#!/usr/bin/python
# -*- coding: utf-8 -*-

class PromptEngineer:

    def __init__(self):
        self.name = "Talha SARI"
        self.role = "AI Engineer"
        self.values = ["Learning", "Growth", "Impact"]
        self.vision = "Driving innovation by understanding essence of complex problems."
        self.expertise = "Mastering the art of prompt engineering"


    def say_hi(self):
        print("Thanks for dropping by! I'm dedicated to learning, growing, and pushing the boundaries in AI.")

me = PromptEngineer()
me.say_hi()

About Me

🚀 Leading AI initiatives at Jetlink with a focus on foundational understanding and innovative solutions.
🏆 Winner of the National AI in Healthcare Competition at TEKNOFEST 2022, a testament to my problem-solving skills.
🧠 Skilled in breaking down complex problems to their first principles, facilitating clearer solutions and advancements in AI.
📝 Dedicated to asking the right questions.
🌱 Committed to continuous learning and growth in the rapidly evolving field of AI.
📫 Reach out to me on LinkedIn

Talha SARI's Projects

car-tracking-counting

object detection and tracking model to track the cars and count the number of vehicles passing in each direction

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

doppel-bot

Train a language model to answer Slack messages as you.

A Deep Q-Network (DQN) agent solving the CartPole-v1 environment from OpenAI's Gym. Demonstrates reinforcement learning for control tasks and serves as an educational resource for deep learning and reinforcement learning enthusiasts.

generate-line-chart-pdf

A tool for visualizing data from CSV files as line charts and converting the charts to a PDF document.

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

modal-examples

Examples of programs built using Modal

smile-detection

Smile Detection Game is a real-time web application that uses machine learning to detect smiles and count them in a 10-second game. The winner is the person who smiles the most during the game. Try it out and see who can smile the most!