Professional Overview
Senior Software & Data Engineer with 8+ years of experience specializing in Generative AI, LLMs, Prompt Engineering, RAG, AI evaluation, model testing, and data engineering. Strong expertise in Python, SQL, cloud platforms, distributed systems, Kubernetes, Kafka, and full-stack development.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed Generative AI and LLM solutions using Python and RAG.
- Designed effective prompts for LLM testing and response quality.
- Evaluated AI models for accuracy, consistency, and instruction following.
- Built data pipelines using Python, SQL, Spark, and Kafka.
- Integrated AI capabilities into scalable production applications.
Key Achievements / KPIs
- Improved LLM response quality through optimized prompt engineering.
- Reduced AI evaluation time through automated testing pipelines.
- Built scalable RAG workflows for accurate, context-aware AI responses.
- Improved data processing efficiency using Python, Spark, and Kafka.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed Generative AI and LLM solutions using Python and RAG.
- Designed effective prompts for LLM testing and response quality.
- Evaluated AI models for accuracy, consistency, and instruction following.
- Built data pipelines using Python, SQL, Spark, and Kafka.
- Integrated AI capabilities into scalable production applications.
Key Achievements / KPIs
- Improved LLM response quality through optimized prompt engineering.
- Reduced AI evaluation time through automated testing pipelines.
- Built scalable RAG workflows for accurate, context-aware AI responses.
- Improved data processing efficiency using Python, Spark, and Kafka.
Education
Field of Study: Computer Engineering
Areas of Expertise
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
