Professional Overview
Full-stack AI engineer who ships production LLM products end to end. I build RAG pipelines (pgvector, retrieve-then-rerank), agentic tool-use workflows, and real-time streaming systems with the Claude and Gemini APIs, on React, Next.js, TypeScript, and FastAPI. Core engineer on Recruitimate, an AI-native hiring platform.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Build Recruitimate, an AI-native hiring platform, end to end (Next.js, FastAPI)
- Design prompt pipelines, tool use, and streaming across Claude and Gemini APIs
- Built RAG resume screening: retrieve-then-rerank on PostgreSQL with pgvector
- Engineered real-time interview intelligence with LiveKit and AssemblyAI
- Ship full-stack Zovo features: auth, RBAC, REST APIs, Vercel deployments
Key Achievements / KPIs
- Cut manual resume shortlisting effort by ~50% in internal trials
- Saved ~5 hours/week by automating data collection and reporting
- Shipped EU AI Act-aligned scoring: transcript-grounded, no affect inference
Education
Field of Study: Software Engineering
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
