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Muhammad Ibrahim

@muhammadibrahim13

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Machine Learning Engineer building generative AI and real-time predictive systems.

Pakistan

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What I'm looking for

I want to build deployable ML/AI systems—especially real-time forecasting, computer vision, and RAG chatbots—where I can own data pipelines, optimize cost/performance, and collaborate closely to turn models into measurable business impact.

I’m a Machine Learning Engineer and Electrical Engineering BSEE graduate who delivers practical AI for real-world systems. I’ve shipped 20+ client projects across ML, signal processing, and embedded systems, consistently improving outcomes with measurable performance gains.

I build models and pipelines that accelerate decisions: I combined RF signal processing (MATLAB) with YOLOv5 to reach 92% detection accuracy, and I delivered an NLP sentiment forecasting system with 35% higher accuracy than traditional approaches. I also optimized ML workflows to run 40% faster and improved defect detection accuracy by 35% while reducing production waste by $500K annually through predictive yield optimization.

Across my roles, I focus on scalable deployment and user impact—automated workflows, reliable data pipelines (99.8% uptime), and AI chatbots that streamline processing and engagement. I also develop multimodal generative AI platforms with RAG and prompt optimization (35% lower API costs) and build embedded/IoT ML systems that improve reliability by cutting failures by 40% and boosting real-time accuracy to 90%+.

Experience

Work history, roles, and key accomplishments

Current

Freelance ML Engineer

Current

Fiverr

May 2023 - Present (3 years 1 month)

Delivered 20+ client projects (4.5/5 avg) across ML, signal processing, and embedded systems, developing custom chatbots (+25% engagement) and predictive models (40% faster processing). Achieved 92% detection accuracy by combining MATLAB RF signal processing with YOLOv5, improved forecasting accuracy by 35% using sentiment-based NLP, and reduced client response times from hours to minutes via AI +

YOLO V5 PyTorch XGBoost Matlab Computer Vision NLP Chatbot Development RF Processing predictive modeling

Machine Learning Engineer

DCore

Jan 2025 - Nov 2025 (10 months)

Built ML models that increased forecasting accuracy by 30% and reduced manual processing time by 50% by automating analysis of 10M+ records per month. Developed scalable data pipelines used by 8+ departments for real-time BI (99.8% uptime), and led a 3-engineer deployment that cut operational costs by $250K annually while improving decision speed by 3x.

Machine Learning Forecasting Data Pipelines Team Leadership

AI Developer

CafeVista@i

May 2024 - Nov 2024 (6 months)

Designed and deployed a full-stack generative AI platform using ChatGroq (Llama3-70B) and Flux multimodal models, supporting personalized story generation for monthly active users. Reduced API costs by 35% via prompt engineering, improved RAG output variety by 70% and reached 4.8/5 user satisfaction; also engineered an AI-driven antenna system that increased signal strength by 22dB, reduced dead z

LLaMA3 70B Flux Multimodal Models Prompt Engineering LlamaIndex PyTorch CNN+LSTM MUSIC Algorithm Beamforming

Embedded Engineer

128 Technology

Jul 2023 - Dec 2023 (5 months)

Built IoT systems (ESP32/Python) combining hardware with ML to deliver 90%+ real-time analysis accuracy. Developed predictive maintenance models that cut failures by 40% and sped response by 60% via automated APIs, while processing 50+ sensor parameters to reduce false alerts by 35% across 15K+ readings.

ESP32 IoT Python Embedded Machine Learning Predictive Maintenance