Professional Overview
AI Systems Engineer building production-grade RAG pipelines, agentic AI platforms, and real time AI infrastructure using FastAPI, Redis, Docker, and AWS. Founder at Wolfden Partners, open source contributor, and builder of scalable AI, memory, automation, and intelligent decision systems.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built PostgreSQL MCP integration for AI agent operational workflows
- Designed safe SQL execution layer with transaction rollback protection
- Implemented schema inspection, query execution, and DB health tools
- Added SQL safety guardrails, timeout enforcement, and row limiting
- Integrated psycopg v3 with secure credential and SSL handling
Key Achievements / KPIs
- Delivered 5 production-ready PostgreSQL operational tools
- Enforced safe query limits up to 10,000 rows with timeout protection
- Implemented automatic rollback for failed multi-statement transactions
- Blocked destructive SQL operations for AI-driven workflow safety
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built Wolfden AI strategy intelligence platform with scalable full-stack arch.
- Developed FastAPI + Redis + ARQ backend for async AI workflow execution
- Integrated AWS Bedrock, FAISS, Supabase, and S3 for AI-powered analysis
- Designed real-time AI chat, report generation, and website intelligence pipeline
- Pitched product vision to VCs and actively participated in fundraising discussio
Key Achievements / KPIs
- Built distributed AI pipeline with Redis queue and multi-worker processing
- Implemented scalable RAG workflow using FAISS embeddings and S3 indexing
- Enabled parallel company intelligence analysis across news, LinkedIn, and fince
- Deployed production-ready infrastructure using Docker, Nginx, SSL, and AWS
Education
Field of Study: Mechanical Engineering
Field of Study: Mechanical Engineering
Areas of Expertise
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.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
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.
