Open to opportunities

Osama Arshad

@osamaarshad1

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Senior AI-focused full-stack developer building production-grade ML and LLM systems.

Pakistan

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What I'm looking for

I seek senior engineering roles where I can lead end-to-end AI product development, scale ML systems, and mentor teams in a collaborative, innovation-driven environment.

I am a Senior Full-Stack Developer and AI/ML engineer with 4+ years of experience delivering production-ready artificial intelligence solutions that drive measurable business impact. I specialize in bridging research-grade deep learning, computer vision, NLP and LLM work into scalable, maintainable full-stack applications.

I have led cross-functional teams to architect and deploy enterprise systems — from a YOLOv11-based cattle monitoring platform (94.3% mAP) and real-time edge inference engines to a 2M+ monthly-conversation chatbot ecosystem and RAG-based knowledge platforms. My work emphasizes performance, cost efficiency, and operational ML practices like DVC, model versioning, and continuous training.

I thrive designing microservices and serverless infrastructures (FastAPI, Lambda, Docker, Kubernetes) and building observability and MLOps pipelines that enable fast iteration and robust production operation. I seek roles where I can lead AI product engineering to solve domain problems end-to-end and scale solutions in real environments.

Experience

Work history, roles, and key accomplishments

Full-Stack AI Engineer

Netsol Technologies

Jan 2024 - Dec 2025 (1 year 11 months)

Spearheaded development of an AI-powered customer experience platform handling 2M+ monthly conversations with 92% CSAT and 65% reduction in support tickets; implemented multi-modal intent recognition and a continuous learning system that improved accuracy by 15% quarterly.

Python React AWS Lambda Transformer Models Docker Kubernetes MongoDB

AI Software Developer

TRG Pakistan

Mar 2021 - Dec 2022 (1 year 9 months)

Pioneered LLM applications and built a RAG platform using LangChain that improved retrieval accuracy by 45% and reduced latency from minutes to seconds; developed document processing and vector search systems scaling to 10M+ documents with sub-second responses.

LLMs (LangChain Pinecone Faiss fastAPI Python PostgreSQL Embeddings Document Processing

Senior Full-Stack Developer

Systems Limited

Jun 2023 - Present (3 years)

Led the AI division to architect and deploy a Cow Detection and Monitoring System (YOLOv11) achieving 94.3% mAP and reduced operational costs by 40%; built distributed training pipelines that cut training time from 72 to 18 hours and a real-time inference engine processing 50+ FPS on edge devices.

Computer Vision YOLOv11 TensorRT Model Quantization fastAPI Distributed Training Mixed Precision