Professional Overview
I have extensive experience in data science, AI, and machine learning. I have designed and developed AI-powered analytics solutions, built context-aware ML pipelines, and implemented real-time data processing pipelines. I have also led the development of AI model optimization frameworks, automated ML pipelines, and analytics tools.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- ML pipeline for eye fixation detection
- Gaze behaviour modelling using deep learning
- Prediction of early onset of ADHD using gaze data
Key Achievements / KPIs
- predictive AI software for adhd level detection
- data pipeline for entire eye tracking
- Realtime analysis of eye biometrics and attention span
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Created end-to-end ML workflow for eye tracking glasses
- RAG based LLM-assisted clinical analytics
- Developed advanced machine learning pipelines for computer vision tasks
- Prediction software for ADHD, dementia, dry eye syndrome
Key Achievements / KPIs
- Best presentation at Vision China 2025 conference
- Validated our prediction software with 79% accuracy
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed workflow scheduling frameworks for AI workloads running on multi-GPU
- XGBoost pipeline for getting best KPIs
- RAG application on top of WSF
Key Achievements / KPIs
- Build production-level LLM chatbots for WSF tools
- ML pipeline for firmware-driver code coverage with 95% improvement
Education
Field of Study: Artificial Intelligence
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
