Professional Overview
I'm an AI Engineer experienced in building AI/ML systems that turn multi-source data into actionable insights. Hands-on experience across agentic AI, LLMs, RAG, deep learning, computer vision, statistical analysis, geospatial analytics and remote sensing, with practical experience working with sensor, satellite, weather and environmental data.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built automated AI pipelines for greenhouse monitoring and crop insights.
- Developed LLM agents, deep learning models, and geospatial analytics.
- Handled team management, resource allocation, and timely delivery.
Key Achievements / KPIs
- 95% reduction in manual field visits via automated monitoring pipeline
- F1 score enhanced from 52% to 56% with lesser computation over other cv model
- 100% adherence to timelines through effective team and resource management
- 20+ vegetation indices via a farmer-friendly chatbot for near-real-time analysis
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built automated AI pipelines for greenhouse monitoring and crop insights.
- Developed LLM agents, deep learning models, and geospatial analytics.
- Handled team management, resource allocation, and timely delivery.
Key Achievements / KPIs
- 95% reduction in manual field visits via automated monitoring pipeline
- F1 score enhanced from 52% to 56% with lesser computation over other cv model
- 100% adherence to timelines through effective team and resource management
- 20+ vegetation indices via a farmer-friendly chatbot for near-real-time analysis
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built automated AI pipelines for greenhouse monitoring and crop insights.
- Developed LLM agents, deep learning models, and geospatial analytics.
- Handled team management, resource allocation, and timely delivery.
Key Achievements / KPIs
- 95% reduction in manual field visits via automated monitoring pipeline
- F1 score enhanced from 52% to 56% with lesser computation over other cv model
- 100% adherence to timelines through effective team and resource management
- 20+ vegetation indices via a farmer-friendly chatbot for near-real-time analysis
Education
Field of Study: DATA SCIENCE AND COMPUTING
Field of Study: COMPUTER SCIENCE
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.
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.
