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Muhammad Ehsan Ul Haq is listed as Deep Learning Researcher at ONEngine, based in Islamabad, Islāmābād, Pakistan. AeroLeads shows a matched LinkedIn profile for Muhammad Ehsan Ul Haq.
Muhammad Ehsan Ul Haq previously worked as NLP Engineer at Onengine and Co-Founder at Stealth Startup. Muhammad Ehsan Ul Haq holds Masters, Computer Science from National University Of Sciences And Technology (Nust).
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Ehsan is a machine learning engineer with expertise in both computer vision and natural language processing. He specializes in deep learning and is proficient in PyTorch. Ehsan has experience in deploying machine learning models on production systems in both AWS and GCP. He has worked on a variety of exciting projects, including recognizing people from their walking style using LSTMs, person re-identification using ResNet features clustering, and anomaly detection in high-energy physics using Normalizing Flows. Ehsan has also worked on projects involving image and video generation, semantic similarity between text, and text generation for conversational tasks. He holds a Master's degree in Computer Science with a focus in Computer Vision and a Bachelor's degree in Software Engineering.
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Texas, United States
In his current position as an NLP Engineer at OnEngine.ai, a pioneering company specializing in multi-agent conversational systems, he is primarily tasked with the development and enhancement of sophisticated AI-driven dialogue systems. This role entails a deep dive into natural language processing techniques and machine learning algorithms to improve the.
San Francisco Bay Area
In his current role as the Head of AI, Ehsan is responsible for maintaining the existing product as well as building new ones. This role also involves a lot of infrastructure management, such as creating failure-tolerant infrastructure and allocating GPU machines to team members. Ehsan is also involved in researching new AI papers and implementing them.
San Francisco Bay Area
As a Tech Lead, Ehsan was responsible for streamlining processes and leading a team of 2-3 developers on a mediating product. He mentored and designed microservice architectures, handled containerization, and deployment of applications.
San Francisco Bay Area
As an Applied Deep Learning Engineer, Ehsan primarily worked on text modelling, including training word embeddings for applications like text comparison and query expansion. He also worked on keyword searching using Elasticsearch and semantic searching using Faiss. In addition to this, he also worked on image generation (stable diffusion, GANs), speech to.
United States
Ehsan worked as a Machine Learning Researcher in Drug Discovery. The problem was to develop a method that generates new molecules while providing control over the generation process. The task required encoding sequential data (SMILES strings) into a meaningful latent space, with parameters such as specificity and transforming interpolated points within the.
As a Computer Vision Engineer, Ehsan was responsible for building an end-to-end Live Video Streaming analytics system. The system included data acquisition using streaming protocols like HTTP stream and Dash protocol. A dashboard was designed to stream videos from multiple TV channels simultaneously. The frames from each channel were then fed to computer.
Pakistan
Ehsan, during his participation in Google Summer of Code, had the opportunity to work with ML4SCI, a part of CERN that employs machine learning to assist researchers in the field of High Energy Physics. His task was to implement an anomaly detection model that would help identify events lying in the region of interest by modeling the background.
Islamabad, Islāmābād, Pakistan
At GRC SEECS NUST, Ehsan worked as a Computer Vision Researcher where he was involved in multiple projects. Initially, he worked on Medical Imaging where the task was to classify images with cancer indications. Ehsan used Graham Matrix, which captured the texture information of the pathological slide images. He found that texture information was more.
Islamabad, Islāmābād, Pakistan
Ehsan worked as a Machine Learning Research Intern and has significant experience in developing computer vision and deep learning models. During his internship, he worked on several projects including Person Re-Identification in a multi-camera setting using ResNet for feature extraction and Sparse Subspace Clustering. He also worked on Time Series.
Activities and Societies: Sentiment Analysis, Image Classification, Image Generation, Model Deployment One of the 100 recipients from.
Activities and Societies: People Counter App Using CCTV Camera, Queue Ordering using CCTV and Finally Mouse Pointer using Eye Gazing. One.
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Muhammad Ehsan Ul Haq works for ONEngine.
Muhammad Ehsan Ul Haq is listed as Deep Learning Researcher at ONEngine.
Muhammad Ehsan Ul Haq is based in Islamabad, Islāmābād, Pakistan while working with ONEngine.
Muhammad Ehsan Ul Haq has worked for Onengine, Stealth Startup, Qlu.Ai, Freelance (Self Employed), and Machvis Lab.
You can use AeroLeads to view verified contact signals for Muhammad Ehsan Ul Haq at ONEngine, including work email, phone, and LinkedIn data when available.
Muhammad Ehsan Ul Haq holds Masters, Computer Science from National University Of Sciences And Technology (Nust).
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