u/arm_aen

Hi everyone. I am a final-year ECE student graduating in June 2026, finishing a research internship at Ritsumeikan University, Japan. I have spent the last several months building and shipping a production-grade AI system end-to-end and I am now actively looking for my next role or project.

What I have shipped:

• Full computer vision pipeline from scratch — person detection using YOLO, pose keypoint extraction using HRNet, and a graph neural network classifier (LSTM) running on top of skeleton features. Everything integrated and running on a single edge device with no cloud in the loop.
• Edge deployment on NVIDIA Jetson TX2 — optimised with TensorRT, hitting 63 ms/frame (15.3 FPS) with a 1.8x safety margin over the camera's capture rate. Real hardware, real constraints.
• Systematic benchmarking — 27 experiments comparing architectures across 9 dataset configurations (141,154 total annotations). Best result: 92.96% mAP on benchmark, 82.31% mAP under deployment constraints.
• Dataset built from nothing — no existing data suited the task, so I designed and built the entire labeling pipeline, frame extraction strategy and class structure from scratch.
• Research output — two manuscripts in preparation. Prior published/submitted paper on data augmentation for pose estimation in non-standard imaging conditions.

Stack: Python, PyTorch, OpenCV, TensorRT, scikit-learn.

What I am open to:

• Any AI role — ML engineering, computer vision, applied research, AI development. Not fixed on a title, happy to go where the work is interesting.
• Any format — full-time, contract, short-term freelance, or remote work.
• Location — fully remote or open to relocation.

If you are building something in AI and need someone who has actually shipped a system end-to-end — a DM, a referral, or even just pointing me in the right direction would mean a lot.

Resume available on request
LinkedIn: linkedin.com/in/armanmayub
Email: armanmayub@gmail.com

Hi everyone. I am a final-year Electronics and Communication Engineering student graduating in June 2026, currently finishing a research internship at Ritsumeikan University, Japan. I build and ship end-to-end AI systems and I am actively looking for my next opportunity.

What I have built at my current internship:

• End-to-end computer vision pipeline for real-time human pose and mobility classification, deployed fully on edge hardware (NVIDIA Jetson TX2) with no cloud dependency. Built the full stack from data collection to TensorRT inference at 63 ms/frame.
• Deep learning model benchmarking across 27 experiments comparing multiple architectures on 9 dataset configurations (141,154 total annotations). Achieved 92.96% mAP on the public benchmark and 82.31% mAP under real deployment constraints.
• Graph neural network classifier using EfficientGCN-B0 for skeleton-based action recognition, benchmarked against MLP, LSTM, and ST-GCN baselines on extracted keypoint features.
• Custom dataset engineering from scratch — labeling strategy, frame extraction pipeline and class structure designed entirely from the ground up with no off-the-shelf data available for the task.
• Research output — two manuscripts in preparation from current work. Prior published/submitted paper on data augmentation for thermal image pose estimation.

Stack: Python, PyTorch, OpenCV, TensorRT, scikit-learn — across the full pipeline from raw data to deployed inference.

What I am looking for:

• Role: Anything within AI — ML engineering, computer vision, AI research, applied deep learning. Not fixed on a title.
• Arrangement: Full-time, internship with conversion, short-term contract, or remote freelance.
• Location: Fully remote or open to relocation.

If your team is hiring or you know someone who might be — a referral, a DM, or even just a nudge in the right direction would mean the world.

Resume available on request
LinkedIn: linkedin.com/in/armanmayub
Email: armanmayub@gmail.com

Hi everyone. I am a final-year Electronics and Communication Engineering student at NMAMIT, graduating in 2026, currently completing a research internship at the Multimedia InfoSystems Lab, Ritsumeikan University, Japan, where I design and ship real computer vision systems motivated by real-world elderly care applications. Looking for my next opportunity and wanted to share what I have been building.

What I am building and shipping right now:

• End-to-end edge CV pipeline for real-time human mobility classification from thermal camera feeds (FLIR Lepton 3.5, 160×120), deployed fully on NVIDIA Jetson TX2 via TensorRT at 63 ms/frame (15.3 FPS). No cloud, no RGB, no PII.
• Deep learning model benchmarking across 27 systematic experiments comparing SimpleBaseline and HRNet-W32 and Vit-Pose on 9 dataset configurations drawn from 4 thermal data sources (141,154 total annotations). Best result: 92.96% mAP on the public benchmark and 82.31% mAP at native 160×120 resolution.
• Graph neural network based action recognition using LSTM as the proposed classifier, benchmarked against an angle-feature MLP baseline, an EfficientGCN-B0, and ST-GCN as the expected reviewer benchmark. The classifier runs on skeleton graph sequences extracted from HRNet keypoints to distinguish three mobility states: Recumbent, Sitting, and Upright.
• Custom dataset engineering with no off-the-shelf data available for the task. Designed the full labeling strategy, frame extraction pipeline and class structure from scratch by repurposing a thermal anomaly detection dataset.
• Two manuscripts in preparation from this work and currently undergoing internal review.
• Stack: Python, PyTorch, OpenCV, TensorRT, scikit-learn across the full lifecycle from raw data to edge deployment.

What I am looking for:

• Role: ML Engineer, Computer Vision Engineer, AI Research Engineer, or anything within AI honestly. Not fixed on a title.
• Arrangement: Full-time, internship with conversion, short-term contracts, or remote .
• Location: Fully remote or open to relocation.

If your team is hiring, or you know someone who might be — a referral, a DM, or even just a nudge in the right direction would mean the world.

Resume available on request
LinkedIn: linkedin.com/in/armanmayub
Email: armanmayub@gmail.com

Hi everyone,

I am a final-year Electronics and Communication Engineering student at NMAMIT, graduating in 2026, currently completing an AI research internship at Ritsumeikan University, Japan, where I design and ship real computer vision systems for real-world healthcare applications.

What I am building and shipping right now:

• End-to-end computer vision pipeline for human mobility classification using thermal cameras, deployed on NVIDIA Jetson TX2 for real-time edge inference
• Deep learning architecture benchmarking across multiple models and 9 dataset configurations to identify the best performing approach for the task
• Custom dataset engineering including labeling strategy design, frame extraction pipelines and class balancing built entirely from scratch
• Sequence classification using LSTM on top of extracted skeletal features to distinguish distinct human mobility states
• Manuscript under internal review for a journal paper on data augmentation techniques for pose estimation in thermal images
• Stack: Python, PyTorch, OpenCV, scikit-learn across the full lifecycle from data to deployment

What I am looking for:

• ML Engineer / Computer Vision Engineer / AI Research Engineer / Data Scientist
• Open to anything — full-time, internship with conversion, short-term contracts or remote freelance work
• Flexible on duration and format — if the work is interesting and the team is good, I am in
• Open to relocation or fully remote

If your team is hiring, or you know someone who might be — a referral, a DM, or even just a nudge in the right direction would mean the world.

📄 Resume: Available on request 💼 linkedin.com/in/armanmayub 📧 armanmayub@gmail.com