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Khuzaima
@khuzaimakt
I help businesses generate revenue by leveraging Software, AI and Data
Pakistan
Anglais
À propos de moi
I've been building at the intersection of software engineering and AI for years. The pattern that kills most AI projects isn't a bad idea, it's bad engineering underneath one. Models with no guardrails. Pipelines assuming clean data. Automations held together with hope.
What I bring that most can't is the full picture. I'm not a data scientist who needs a dev team to ship, and not an engineer who treats models as black boxes. I own the whole thing, architecture, backend, frontend, AI, deployment, monitoring.
Compétences
Khuzaima
hors ligne •
Voir mes services
Machine learning
I will build production ready ml solutions, nlp, computer vision, and predictive models
Applications Web Full stack
I will buil production ready web apps built with python, django, react and nextjs
Expérience professionnelle
AI/ML Engineer
Revcloud • Temps plein
Aug 2025 - Present • 9 mos
• Designed and implemented a standardized end-to-end MLOps architecture using AWS (SageMaker, EventBridge, Athena, SNS, CloudWatch), adopted across the organization to develop, train, deploy, and monitor machine learning models at scale. • Developed and deployed production-grade machine learning models for revenue per lead, conversion rate prediction, customer lifetime value, and customer engagement scoring, deployed via AWS SageMaker real-time inference endpoints and serverless batch processing jobs.
AI Engineer
xiQ, Inc. • Temps plein
Jul 2024 - Aug 2025 • 1 yr 1 mo
• Designed and developed an end-to-end AI-powered B2B sales chatbot that contextualized buyer data, generated personalized sales strategies and emails, boosting response rates and enhancing lead qualification by 10x. • Developed and deployed a scalable analytics microservice using Django REST Framework, Exasol, and Docker, enabling real-time data extraction and frontend-driven API responses. • Engineered robust CI/CD pipelines with GitHub Actions and Workflows, cutting deployment cycles from days to hours and increasing system uptime and reliability. • Built the Industries page for the SalesApp using TypeScript and React, displaying followed and recommended industries with follow/unfollow functionality; also resolved key production issues in the frontend to improve application stability.
Data Scientist
Hubble42 Inc. • Temps plein
Jun 2023 - Jun 2024 • 1 yr
• Designed and deployed robust ETL pipelines to ingest structured and unstructured data into MemGraph, GCS, and BigQuery, supporting efficient downstream analytics and machine learning workflows. • Containerized ETL workflows using Docker and deployed them as scalable services on Google Cloud Run, ensuring high availability, fault tolerance, and seamless integration with GCP infrastructure. • Fine-tuned YOLOv8 models for anti-spoofing in live webcam videos and text extraction from identification documents. • Trained and deployed SpaCy’s NER model on a Wikimedia dataset for Named Entity Disambiguation to enhance text processing. • Developed and deployed the algorithm engine using FastAPI, hosting models on Vertex AI Model Garden and running the engine as a Cloud Run instance on GCP.
