Hi, I'm Abdullah
I build AI products that go from idea to production — powering chatbots, automating workflows, and delivering measurable results with ML, NLP, and full-stack engineering.
About Me
Building AI that works in the real world
I'm an AI engineer who thrives at the intersection of machine learning, NLP, and production engineering. I've built agentic AI systems, RAG chatbots, multimodal LLM pipelines, and Kubernetes-based microservices that handle real traffic.
At Analytiverse I led agentic AI development using MCP servers, LangFlow, and GCP/K8s — slashing a 14-hour pipeline to 10 minutes. At Quanticept AI I delivered end-to-end AI and platform engineering as a contractor, shipping autonomous agents and production infrastructure.
I care about shipping things that are not just intelligent, but secure, scalable, and production-grade.
Agentic AI
MCP servers, RLMF evaluation loops, multi-agent orchestration
Full-Stack
React, FastAPI, Next.js — end-to-end product delivery
Platform & DevOps
Kubernetes, Docker, GCP, Terraform, CI/CD pipelines
Impact-Driven
98% pipeline speedup, 80% dev time reduction — real metrics
Experience
Where I've worked
AI & Platform Engineer
ContractQuanticept AI
- Built ALI Agent — autonomous system that extracts financial quotes from WhatsApp, Slack, and Telegram messages, ranks them, and negotiates responses using OpenAI and predicted market factors
- Designed and managed Kubernetes-based microservices architectures for production environments
- Integrated Kong API Gateway for traffic management, rate limiting, and API authentication
- Built secure peer-to-peer networking with WireGuard and maintained CI/CD pipeline reliability
Projects
Things I've built
AI products and infrastructure that delivered measurable business impact
Government Incentives Chatbot
Ncentives
Chatbot that helps new business owners discover government incentives — tax credits, grants, and loans — through a natural language chat interface. Owners describe their company and the system surfaces matching programs. Custom scrapers keep the incentive database current; Qdrant powers semantic search over the corpus.
RAG System
Know-it-all Chatbot
Chatbot that extracts location-specific documents from large PDF collections and answers queries. Uses Named Entity Recognition to identify locations, stores them in separate ChromaDB collections, and combines semantic search with Neo4j graph traversal for context linking.
Multi-Platform Negotiation System
ALI Agent
Multi-platform quote extraction and negotiation system that monitors WhatsApp, Slack, and Telegram conversations in real time. An extraction agent identifies and parses financial quotes from unstructured messages, ranks them by relevance and competitiveness, then hands off to a negotiation agent that autonomously responds based on collected market intelligence and predicted rates.
Validation Pipeline
Distributed Processing
Dockerized and parallelized a previously serialized validation pipeline on GCP + Kubernetes. Transformed a blocking 14-hour job into a 10-minute parallel run.
Receipts Ingestor
Multimodal AI Pipeline
AI pipeline for ingesting PDF and image receipts, extracting transaction details, company info, and metadata using multimodal LLMs (Gemini) deployed on FlutterFlow.
Body Language Detection
Video Analysis System
Video analysis system using FlutterFlow, OpenCV, and multimodal LLMs (Gemini) to detect and interpret facial expressions, gestures, and posture cues from pre-recorded video.
LangFlow Code Generator
Dev Automation Tool
LangFlow-based tool that converts JSON specifications into production-ready Python functions, dramatically reducing the time engineers spent on boilerplate translation.
Skills
Tech stack
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AI / ML
10 technologiesContact
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iabdullah416@gmail.com