Sikander Mukhtar
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Full-Stack & Machine Learning Engineer

Building intelligent systems for language, automation, and the web.

I work across machine learning, backend systems, and frontend development to build practical AI-powered software with clean architecture and thoughtful user experiences.

GitHub Contributions

Tech Stack

Python
Go
TypeScript
JavaScript
React
Next.js
Tailwind CSS
FastAPI
PostgreSQL
MongoDB
Redis
Vector Databases
Docker
Vercel
Git
GitHub
LangChain
CrewAI
Hugging Face
PyTorch
Pandas
Model Context Protocol
Python
Go
TypeScript
JavaScript
React
Next.js
Tailwind CSS
FastAPI
PostgreSQL
MongoDB
Redis
Vector Databases
Docker
Vercel
Git
GitHub
LangChain
CrewAI
Hugging Face
PyTorch
Pandas
Model Context Protocol

Experience

Digimark Developers
AI/ML Engineer — Lahore, Pakistan (Jul 2025 – Apr 2026)

Started as an AI/ML Intern and transitioned into an Associate AI/ML Engineer role, focusing on retrieval-augmented generation (RAG) pipelines, workflow automation, FastAPI backend development, and predictive modeling.

Associate AI/ML Engineer (Dec 2025 – Apr 2026)
  • Architected Retrieval-Augmented Generation (RAG) pipelines and integrated observability frameworks to monitor LLM performance, track token usage, and reduce response latency.
  • Designed and deployed N8N automation workflows and voice agents using VAPI, connecting third-party APIs to streamline business processes, automate customer calls, and eliminate operational bottlenecks.
  • Implemented Twilio and VAPI SDKs with FastAPI for integrated communication solutions.
AI/ML Intern (Jul 2025 – Dec 2025)
  • Collaborated with clients to engineer effective workflows, ensuring alignment with project goals.
  • Trained and evaluated classification models for sentiment analysis and computer vision tasks, enhancing predictive accuracy.
FastAPI
RAG
N8N
LangChain
LangSmith
VAPI
Twilio
Machine Learning
Deep Learning
Agentic AI

Projects

Resume

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Contact

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