Professional Overview
PhD-qualified AI Engineer & Research Scientist with 5+ years of experience in ML, Deep Learning, GenAI, Agentic AI & Multimodal AI. Skilled in RAG, AI agents, LLM applications, Python, TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph & AWS. 15+ publications and 2 patents.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed AI solution Leveraging Gen AI, LLM, Agentic AI, RAG framework
- Led AI research projects involving multimodal learning, time series forecasting
- Conducted model evaluation, Benchmarking, Debugging, optimization, validation
- Experienced in Computer vision, machine learning, Deep learning framworks
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Delivered training programs on Python, Machine Learning, and Deep Learning
- Guided learners through end-to-end ML model development and deployment workflows
- Designed hands-on projects involving predictive analytics and AI applications
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built multimodal AI pipelines integrating EMG and IMU sensor data.
- Designed experiments, evaluated model performance, and published research
- Contributed to human-computer interaction and assistive AI technologies
Education
Field of Study: Machine learning, time series, signal processing, AI, deep learning
Field of Study: Embedded systems
Field of Study: Electronics and Communication
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.
