Professional Overview
I am an AI/ML engineer building production multi-agent LLM systems in Python and LangGraph. Founding AI Engineer at Solaa AI, where I shipped an automated research and report agent with human-in-the-loop review, persistent memory, and hallucinated-citation correction. I also build NL2SQL, recommendation, and face-recognition systems.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Architected a LangGraph multi-agent system for end-to-end research reports.
- Designed confidence-gated routing across deep research, web search and chat.
- Built a citation agent that detects and fixes hallucinated references.
- Added human-in-the-loop review and Mem0/Qdrant cross-session memory
Key Achievements / KPIs
- Designed routing at 94% accuracy, sending only 8% of queries to clarification
- Automated research reports, cutting turnaround from ~20 minutes to 4 minutes
Education
Field of Study: Industrial Chemistry
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
