Professional Overview
Software Engineer focused on GenAI architectures, LLMs, and RAG pipelines. My core toolkit combines Python, Node.js, and Next.js to build high-throughput backend microservices. Experienced in prompt engineering, implementing Redis caching for performance, and leveraging computer vision tools like InsightFace for smart application delivery.
Education
Field of Study: Computer Science and Engineering
Field of Study: Electronics Engineering
Areas of Expertise
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.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
