Professional Overview
Passionate and results-driven AI and Machine Learning professional with a strong foundation in data science, deep learning, and algorithm development. Skilled in building scalable ML models, deploying AI-powered solutions, and leveraging data to drive innovation. Experienced in Python, TensorFlow, PyTorch, and cloud-based platforms like AWS and GCP
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Implemented robust monitoring and observability for AI services using Prometheus
- Integrated Gemini-based reasoning pipelines to detect fraud indicators, emotiona
Key Achievements / KPIs
- Automated end-to-end ML workflows including preprocessing, model inference,
- Reduced inference turnaround time by 40% by deploying asynchronous FastAPI micro
AI Expertise
Skills
Employment Type
AI Expertise
Skills
Employment Type
Education
Field of Study: Computer Engineering
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
