About
Machine Learning Engineer specialising in production-grade ML systems, multimodal pipelines, and scalable distributed architectures. Experience spans computer vision, speech systems, LLM-based applications, and GPU-constrained inference. Strong focus on reliability, performance optimisation, and cloud-native deployment on AWS and GCP.
Languages: English, Urdu
Technical Expertise
Primary stack
PythonPyTorchLLMsComputer VisionFastAPIAWSGCPDocker
Also works with
LangGraphPlaywrightRAGASR / TTSVoice CloningModel Fine-tuningModel QuantizationRabbitMQRedisSQSFlaskAsyncIOAWS ECSAWS CloudFrontGitHub Actions
Experience
- Machine Learning EngineerHiredJuly 2024 – Present
- Primary ML engineer on VoxBee — led architecture and implementation of a production multimodal video dubbing platform integrating speech recognition, translation, subtitle generation, and voice cloning; scaled to 100+ concurrent users at a sustained 90% SLA
- Designed GPU-aware distributed task scheduling with VRAM-based concurrency control and model quantization, enabling parallel multimodal workloads while reducing GPU memory usage by 45% and preventing OOM failures
- Built and deployed Dockerized FastAPI microservices across AWS and GCP including multi-tenant S3 storage, CDN-backed content delivery, and async APIs for long-running ML workloads
- Designed real-time computer vision system for industrial production validation (Coca-Cola Pakistan) — architected inference pipeline for high-speed bottling lines with 100% accuracy requirements
- Built agentic data acquisition system using LangGraph and Playwright to extract and structure web data at scale for downstream analytics and ML pipelines (Datassential)
- Delivered production WhatsApp-based ML customer support and service booking system (Lucid Motors Middle East) reducing resolution time by 60%; re-architected scraping pipelines to SQS/ECS achieving 3× throughput gain and accelerated proposal workflows by 50%
- Led technical interviews for AI engineering roles and mentored junior engineers on ML system design, MLOps, and agentic workflows; delivered company-wide training sessions on production LLM systems and prompt engineering
- Engineering Intern — Mechanical & ElectricalFMCG ManufacturerJune 2022 – August 2022
- Supported mechanical and electrical department operations across manufacturing lines during summer internship
Education & Certifications
B.Sc. Mechatronics & Control Engineering
University of Engineering and Technology, Lahore · 2024
A-Levels (Cambridge)
Lahore Grammar School, Johar Town · 2020