Professional Overview
results-driven Computer Science professional with hands-on expertise in Prompt Engineering for Large Language Models(LLMs), complex SQL development, and Python-based automation. Proven track record designing and optimizing advancedprompts for structured data extraction from enterprise documents, invoices, and unstructured business records at scal
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Engineered and optimized 50+ production LLM prompts for structured data
- Designed template-based prompt architecture
- Implemented SQL-based data validation and reconciliation pipelines
- Authored and maintained 20+ complex SQL stored procedures, views, and functions
- Developed Python automation scripts
Key Achievements / KPIs
- Designed a fuzzy matching engine using RapidFuzz
- Implemented configurable confidence thresholds to route records automatically
- Engineered transactional database writes with rollback support, structured logic
Education
Field of Study: Computer science
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.
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.
