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Adil Jutt

@adiljutt

AI Engineer at STINGRAY TECHNOLOGIES PVT LTD. developing an anti-drone system for aerial target detection, tracking, and engagement handoff.

Pakistan

Message

At STINGRAY TECHNOLOGIES PVT LTD., I developed an end-to-end counter-UAS system around a military-grade EO/IR camera. It detects and tracks aerial targets, computes target coordinates, and hands them off to a gun fire-control system.

At QBS CO., I contributed to VERSEYE, a real-time video analytics platform, and developed cross-camera re-identification pipelines. I also deployed edge AI workloads on NVIDIA Jetson Orin, reaching 25 FPS in production environments.

I built XOURCE.AI, an AI-powered recruitment intelligence platform, and developed retail AI systems and a no-code AI training pipeline. Earlier, at ASKARI TECHNOLOGIES and EFORTE, I worked on LLM- and RAG-powered products including a customer chatbot, an interview agent, and a document knowledge base.

Experience

Work history, roles, and key accomplishments

Current

Deputy Manager - AI

Current

Stingray Technologies Pvt Ltd.

Jul 2026 - Present (4 months)

Developed an end-to-end counter-UAS system with military-grade EO/IR cameras, including detection, tracking, and engagement handoff. Implemented multi-object tracking, real-time target coordinate computation, and integrated with fire-control systems over UDP.

Computer Vision Object Detection Multi Object Tracking EOIR UDP Backend Development Frontend Development AI Model Training

AI Engineer

QBS Co.

May 2024 - Jun 2026 (2 years 1 month)

Contributed to VERSEYE, an enterprise real-time video analytics platform, and developed global multi-camera re-identification pipelines. Deployed edge AI on NVIDIA Jetson Orin with TensorRT, and built XOURCE.AI recruitment platform using .NET and Python.

Computer Vision Re Identification NVIDIA Jetson TensorRT Docker Microservices gRPC REST APIs Lang Chain RAG Vector Similarity .NET Python

Junior AI Engineer

Askari Technologies

Feb 2024 - May 2024 (3 months)

Created an AI-powered school LMS and a secure chatbot using RAG and LLM, increasing customer interaction by 40%. Developed an intelligent interview agent that cut screening time by 50%.

RAG LLM Chatbot Development Automation Python

AI Intern

Eforte

Aug 2023 - Nov 2023 (3 months)

Developed a knowledge base project using LangChain, ChromaDB, LLM, and RAG, increasing data accessibility by 60%. Created a career guidance platform using LLMs.

Lang Chain ChromaDB LLM RAG Python