danial shehroz khan

• Developed and deployed machine learning models for object tracking and segmentation. • Leveraged NVIDIA hardware and cloud platforms to create scalable AI solutions. • Collaborated with cross-functional teams to innovate and solve complex problems through AI techniques.

• Key organizer of AI events in Paris. • Fosters innovation and collaboration in the AI community. • Hosts conferences, workshops, and meet-ups. • Connects AI thought leaders and enthusiasts. • Promotes cutting-edge research and industry trends.

• Improved DeepLabV3+ with MobileNetV2 backbonefor semantic segmentation, increasing accuracyby 1.5% on the Cityscapes dataset. • Enhanced model robustness through multimodaldata integration • Generated synthetic datasets for training AI modelsusing Generative Adversarial Networks (GANs),improving model performance and addressing datascarcity challenges.

• Extracted multiple types of dataset from the web using techniques like web scraping etc • Exploratory data analysis techniques were applied to study their statistical behavior and extract features • Machine learning models like SVM, Random Forests were researched on the datasets to perform evaluation

• Designed and developed drones for surveillance and performing drone light shows • Pixhawk microcontroller was used and calibrated using ArduPilot for sensors like IMU and GPS to perform localization • Debugged software issues and coordinated with the AI team for optimal performance. • Gained experience in drone design, development, and project management

The goal of this study group was to give entry and current technologists the support and mentorship to finish online technical courses/curriculum(16- week Paced Programme)

Two-week intensive summer school on the most exciting technology of Quantum Computing, covering areas of Qiskit Programming, Superconducting devices, Quantum Algorithms and Error Correction

• Deployed firmware using Python for a 2D laser engraver, improving functionality and performance • Calibrated sensor using algorithms and collaborated on the design and development of the laser engraver

Worked as an internee at manufacturing facility and final assembly area for fighter jet and other training aircrafts

• Developed firmware for RasperryPi based home automation system using C++ • Used linear regression algorithm for sensor calibrations to make the data collected accurate and reliable