Professional Overview
I’m an AI/ML and Backend Engineer specializing in LLMs, AI agents, RAG, and data-driven applications. I build production-oriented AI solutions using Python, FastAPI, LangChain, LangGraph, Hugging Face, SQL, and cloud technologies. My experience spans machine learning, backend systems, data pipelines, and AI research, with a focus on turning complex
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built an NLP-to-SQL agent using RAG and OpenAI LLMs for data querying
- Designed LLM-as-Judge evaluation pipelines using DeepEval to validate generated
- Developed AI agents for FinOps insights, visualization, and anomaly detection.
- Integrated LLM workflows with data analytics pipelines and automated reporting.
Key Achievements / KPIs
- Achieved ~90% query relevance across datasets with the NLP-to-SQL agent.
- Accelerated dashboard generation by 3× using FinOps and visualization agents.
- Reduced invalid SQL outputs by 40% through LLM-based validation.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built an NLP-to-SQL agent using RAG and OpenAI LLMs for data querying
- Designed LLM-as-Judge evaluation pipelines using DeepEval to validate generated
- Developed AI agents for FinOps insights, visualization, and anomaly detection.
- Integrated LLM workflows with data analytics pipelines and automated reporting.
Key Achievements / KPIs
- Achieved ~90% query relevance across datasets with the NLP-to-SQL agent.
- Accelerated dashboard generation by 3× using FinOps and visualization agents.
- Reduced invalid SQL outputs by 40% through LLM-based validation.
Education
Field of Study: AI 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.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.