About
A highly accomplished Machine Learning Engineer with over 4 years of experience, specializing in Natural Language Processing, Computer Vision, and traditional ML models. Expertly develops and deploys production-ready AI solutions, including conversational agents, advanced ETL pipelines, and robust cloud infrastructure (AWS/GCP, Kubernetes), achieving significant improvements in data quality, processing efficiency, and cost savings. Passionate about translating cutting-edge AI capabilities into practical, high-impact solutions that drive business transformation and enhance user experiences.
Work Experience
Machine Learning Engineer
Peepalytics
Jan 2025 - Present
N/A, N/A, N/A
At Peepalytics, I lead the development of AI-powered conversational agents, customer service voice agents, and automated ETL pipelines, enhancing data processing and customer interaction.
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Developed and deployed conversational agents and customer service voice agents, significantly improving customer interaction efficiency and satisfaction.
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Designed and implemented automated ETL pipelines for data cleaning and processing, ensuring high data quality and streamlined workflows.
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Applied expertise in Natural Language Processing and traditional Machine Learning models to solve complex data challenges and build robust AI solutions.
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Collaborated cross-functionally to integrate AI solutions into existing systems, driving significant operational improvements and data accuracy.
Machine Learning Engineer (Part-Time)
Skoutwach
Nov 2024 - Present
N/A, N/A, N/A
At Skoutwach, I developed and deployed state-of-the-art computer vision models for video analysis, optimizing data pipelines and cloud infrastructure for high-throughput applications.
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Developed and fine-tuned advanced computer vision models (SAM2, YOLO) for video analysis, increasing detection accuracy by 35% across challenging environments.
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Implemented end-to-end custom training pipelines with data augmentation and hyperparameter optimization, reducing false positives by 28% while maintaining processing speed.
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Built comprehensive RESTful backend endpoints using FastAPI to efficiently serve computer vision models at scale, incorporating caching mechanisms and optimized inference paths.
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Architected a cloud deployment strategy integrating AWS Lambda with EC2, reducing cloud infrastructure costs by 30% through strategic batch processing and resource allocation optimization.
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Designed and implemented advanced batching processes, leveraging parallel processing to optimize data pipeline throughput by 40% and significantly reduce latency.
Jan 2025 - Mar 2025
N/A, N/A, N/A
As a DevOps Engineer at HNG, I orchestrated CI/CD pipelines and managed server infrastructure, enhancing system observability, security, and deployment efficiency for critical applications.
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Developed CI/CD pipelines using GitHub Actions, automating testing and deployment to reduce release cycles from days to hours while maintaining code quality.
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Managed server infrastructure across environments, implementing configuration management and infrastructure-as-code practices to ensure 99.9% uptime.
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Established a comprehensive monitoring ecosystem with Prometheus, Grafana, and Alert Manager, reducing system incidents by 65% through proactive Slack notifications.
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Configured Nginx as a reverse proxy with caching, load balancing, and SSL termination, improving application response times by 30% while enhancing security.
Machine Learning Engineer
Provarex
Apr 2024 - Dec 2024
N/A, N/A, N/A
At Provarex, I developed an AI-powered conversational bot and robust backend infrastructure, leveraging NLP and image generation to streamline business planning and increase customer engagement.
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Created an AI-powered bot leveraging natural language processing and guided conversational flows, streamlining business planning and increasing customer engagement by 45%.
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Built robust backend infrastructure using Flask, designing RESTful APIs and efficient database integration for seamless communication across frontend clients and AI backend services.
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Integrated OpenAI API keys with custom prompt engineering techniques, implementing context management and multi-turn conversation handling to significantly improve user satisfaction scores.
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Incorporated cutting-edge image generation models to transform text descriptions into visual business concepts, enhancing user comprehension and retention of complex frameworks.