Omer Khan Jadoon

Automation of more than 85% of Customer Support tickets using AI across different countries (Germany, Spain, Italy, Portugal and China) and across different channels (shopify web chat, email, instagram, messenger etc.)

Lead the Development of Amidiro Audio Assistant which helps businesses/hospitals to provide support and do marketing and support calls using LLMs and which increase the lead conversion rate by 20% , and reduce the call handling time by 15%. Fine tuned YOLO v9 on FireNet Dataset and Developed a pipeline to generate Safety & Maintenance Report using LLM. Developed a data pipeline to extract important information from Company register (Handelsregister) using OpenAI ChatGPT and store it to AWS DynamoDB.

Generated Synthetic dataset using LLMs from ~5 Million e-commerce dataset, to train custom BERT model for Named Entity Relations (NER) task. Finetuned Segment Anything model to do image segmentation and remove background from images. Also created an interface for this in streamlit. Performed Image Analysis by extracting segments using finetuned Segment Anything model. Developed a Restful API service for converting video of Product to 3D objects. Created MLOPs pipeline for Model Training and Deployment.

Set up fine-tuning and evaluation pipelines on Microsoft Azure. Trained Custom Computer Vision and NLP Models and Deployed them on Azure Cloud. Developed an Advanced Recommendation System for car dealership stores. Developed Generative AI Training and conducted training sessions with universities. Worked on Data Pipelines, ETL, Batch Scoring, Stream Processing, Visualization using Power BI.

Build the AI and BigData Lab with a private cloud for KPK Police, Pakistan. Worked on Development of OSINT for Social Media and Criminals Analysis. Build Interactive Dashboards in Qlik Sense and a custom ETL system for Telecommunication Data. Developed Link Analysis Platform to analyze the activities of Terrorist Groups in Pakistan. Development of Facial Recognition System (FRS), Automatic Number Plate Recognition System. Lead a team of 5 People

Developed Cross Platform Mobile and web apps using Next JS, React JS, ASP.NET as well as Django. Web Scraping, Data Analytics, Exploratory Data Analysis. Data Ingestion, Training ML and DL based models for visual analysis, emotion detection, and road safety. Development of Rest, SOAP APIs. Setting up LDAP server with custom schemas. Build fully functional mobile and apps for ride sharing services, mobile diagnostics etc.