Professional Overview
Data Scientist/AI Engineer with 4 years of experience specializing in advanced GenAI/LLM orchestration, autonomous multi-agent systems. Powered by a strong initial foundation in Software Engineering, I bridge the gap between complex machine learning models and scalable web integrations. Open to full-time or contract remote roles globally.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed high-performance multi-agent ecosystem orchestrating diverse LLMs.
- Engineered specialized, autonomous deep learning agents using OpenClaw.
- Developed scalable end-to-end NLP pipelines using advanced BERT embeddings.
- Engineered a customer churn predictive pipeline (Boosting, MLP, etc).
Key Achievements / KPIs
- 100+ High-Quality Leads/Day on high-scale prospecting pipeline.
- 80% Model Accuracy on fine-tuned NLP pipelines using advanced BERT embeddings
- +40% Recall Improvement on business-critical customer churn predictive pipeline.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Collaborated with various team to produce complex data-driven software framework
- Managed full software engineering lifecycles by implementing automated CI/CD.
- Designed strict QA testing standards and refactored core algorithmic logic.
Key Achievements / KPIs
- 40% System Acceleration on legacy algorithmic logic.
- 35% Production Error Reduction on automated CI/CD pipelines
Education
Field of Study: Advanced Electronic and Electrical Engineering
Field of Study: Embedded system specialization
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
