Building AI Systems That Scale

AI Strategy Consultant

AI Strategy Consultant with 6+ years building production AI systems, scalable backend infrastructure, and cloud-native AI platforms, with end-to-end technical ownership and non-technical stakeholder alignment. Delivered 30+ AI systems across healthcare, finance, and blockchain, including voice pipelines, hybrid temporal RAG, and multi-agent workflows. MS Computer Science from NUST (completed Feb 2025).

Core Technologies

Voice AI: real-time speech pipelines with speech-to-text, text-to-speech, and voice activity detection

Hybrid and temporal RAG: semantic and time-aware retrieval over enterprise and blockchain contract data

Agentic systems: LangGraph orchestration, tool use, and temporal agents

Production delivery: FastAPI, Kubernetes, and compliance-aware deployment

What Sets My Work Apart

Systematic Approach: Hypothesis-driven development with rigorous testing and validation

Production-First: Containerized, monitored, scalable systems, not just POCs

Full-Stack AI: Complete pipeline from prompt engineering to Kubernetes deployment

Research-Backed: Continuously applying latest AI research and best practices

Current Focus

Voice AI for production conversations, including speech-to-text, text-to-speech, and voice activity detection

Hybrid and temporal RAG so answers stay current as contract and enterprise facts change

Agentic systems with LangGraph, tool use, and temporal agents

Production delivery on FastAPI and Kubernetes, with compliance-aware deployment

Community & Speaking

Judge, SEECS Open House, NUST H-12 Islamabad (2024, 2025)

Guest speaker, Hybrid Chatbots Workshop, FAST-NUCES Islamabad (2024)

Workshop, Building Contextual AI Chatbots using RASA, SUSE Scholars Conclave (2021)

Podcast guest, Microfinance Data Science and AI Applications in Financial Inclusion, The Data Standard (2021)

Contributor, RASA Community; YouTube and GitHub tutorials (2021)

Let's Build Something Remarkable

Whether you need voice AI, hybrid temporal RAG, or a multi-agent system, I bring the expertise to make it production-ready.

"Building intelligent systems that make a meaningful impact"

Technologies & Tools

OpenAI

Claude

LangChain

LangGraph

LangSmith

LLMs

n8n

Python

FastAPI

Rasa AI

Docker

Kubernetes

Flask

Django

React

JavaScript

AWS

Azure

GCP

Nginx

CI/CD

Git

VS Code

GitHub

GitHub Actions

Postman

Linux

Tableau

Chat Tools

SocketIO

Vite

GCP

Core Competencies

🎙️

Voice AI

Real-time speech pipelines for production conversations.

• Speech-to-text

• Text-to-speech

• Voice activity detection

• Retell, LiveKit, and Vapi

📚

Hybrid RAG

Semantic and keyword retrieval over documents and databases.

• FAISS, Chroma, Pinecone, and PGVector

• Document and database ingestion

• Citation and source tracking

⏱️

Temporal agents

Time-aware retrieval and agents that stay current as contract terms and enterprise facts change.

• Contract history retrieval

• Current and prior terms

• Memory and context

• Guardrails for stale answers

🤖

Agentic systems

LangGraph orchestration, tool use, and multi-agent workflows for voice, public-sector, and financial systems.

• LangGraph

• MCP and tool use

• Task routing

• State across agents

🧠

LLM engineering

Model selection, tool use, context management, and prompt engineering across frontier and open-source models.

• GPT, Gemini, and Claude

• Open-source models

• Prompt engineering

• Context management

🚀

Cloud-native deployment

Deploy scalable, monitored AI systems using containerization and orchestration for production reliability.

• Kubernetes orchestration

• Docker containerization

• FastAPI services

• CI/CD pipelines

• Monitoring and observability