Karim Wahby

Company Overview: Outsourced to knowis

• First AI Hire for the Company
• Guiding the company through the adoption of AI and ML techniques into their solutions.
• My main responsibility is to guide the company in introducing AI and ML implementations and processes to the currently existing product.
• Using LLMs and Machine Learning Models to build:
• Architecture Decision Record (ADR) Writing Assistant (AKA: ADR Sidekick)
• Analyzing dependencies and conflicts between different company technical documents

Leading a team of 5 Engineers, between data pipelining, model tuning, backend implementation, and ad-hock requests.

Implementing the company feature set in a phased approach while managing the management expectations and helping them capture the market window. Re-designing the system and eliminating single points of failure within both the system and the team.

Building Ecommerce and fashion focused solutions that contains:

• Neural text search
• Image search
• Product Listing Categorization
• Product Auto Tagging
• Similar item recommender
• Dynamic Pricing
• Pricing Assistant
• Product Listing Appeal
• A set of Market Scanning Pipelines.

Leading a team of 10 AI Engineers. Mentoring the diverse technical team, bringing out the best them they could be, while encouraging their differences and focusing on their strength points, ensuring excellence, collaboration, exposure and ownership.

Providing the team with technical direction, hands-on designing, implementing, deploying, testing, fixing, and prioritizing investments to build the following:

• Dialectical Arabic and English TTS with Voice Cloning feature
• Knowledge Mining
• Language Classification
• Intent classification Training service
• Entity Extraction Training service
• Entity Normalization service

Responsible for different teams with more than 20 people between ai, product, and dev ops engineers.

Hands-on in the process starting from customer requirements or user stories to solution deployment and bug fixes.

Key Achievements:

• Managing cross-functional teams comprising over 20 AI, product, and DevOps engineers.
• Revamped the system to support offline deployment on Kubernetes clusters and IIS servers.
• Made critical System Architecture changes to implement separation of concerns within our components.
• Delivered our solution to banks, successfully navigating the security clearance process.
• Maintained the roadmap delivery while migrating revamping the solution
• Successfully Migrated all existing clients to the new solution and codebase
• Covered for missing capacity within engineering until successful hires were made.
• Expanded the engineering and DevOps teams to meet market needs.
• Directed the end-to-end process from customer requirements to solution deployment and bug fixes.
• Spearheaded the development and implementation of advanced conversational AI solutions across all teams.
• Enhanced team productivity and project delivery through effective leadership and strategic planning.
• Mentoring the team and guiding them throw the week points.

Owning the services Architecture, implementation, evaluation, deployment, and support, All while Guiding a ream of Junior AI engineers, with whom the following services were implemented and deployed:

• Intent classification
• Entities extraction and normalization
• Language classification
• Labeling tool and the labeling experience
• Statistics for the Chatbots performance
• ASR (Automatic speech recognition) Service
• Salesforce (CRM) integration
• Medical Diagnostic and Triage service integration

Member in the NLP Team at ATLC

Projects:

Knowledge Extraction from Documents

• Pdf Parsing (Graphical component extraction and collated text separator injection)
• Table detection (detect tables within pdf and extract them).
• Table Layout Understanding (number of rows and number of columns and cell spanning etc...).
• Table joining from across pages
• Table content understanding (Identifying Subjects, Objects, and Relations from within the tables and their context).
• Table representation: converting the understood information from the table and the actual table into either (question and answers, OR segments of the answer)

CCI - Virtual Agent Platform for the support domain

• “Customer deployment” service (deploy Toronto to the customer subscription)
• Access control (Authentication and Authorization) across all portals, also setting up initial users at customer subscription.
• All User Administration pages.

Summer Intern at Microsoft Advanced Technology Lab in Cairo (ATLC) as part of the LUIS (Language Understanding Intelligent service) Team for three months.