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Fiverr Pro
Português
$
USD
Khuzaima
@khuzaimakt
I help businesses generate revenue by leveraging Software, AI and Data
Paquistão
Inglês
Sobre mim
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.
Habilidades
Khuzaima
offline •
Conheça meus serviços
Machine learning
I will build production ready ml solutions, nlp, computer vision, and predictive models
Aplicações Web Full Stack
I will buil production ready web apps built with python, django, react and nextjs
Experiência profissional
AI/ML Engineer
Revcloud • Período integral
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. • Período integral
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. • Período integral
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.
