# About Ajish Pradeep

- Author: Ajish Pradeep (https://ajishpradeep.com/about/)
- Canonical: https://ajishpradeep.com/about/

> Ajish Pradeep (official name Pradeep Rajasekar) is an AI Research Engineer based in New Taipei City, Taiwan. He takes computer-vision and language-model research into products: markerless 3D motion capture that runs on a phone, shelf recognition deployed across 7,000+ convenience stores (presented at NVIDIA GTC 2025), and LLM coaching systems where code computes every number. His public notes are about evaluation, geometry, numerics and training: what failed, why, and how much the evidence can show.

## I work the part of AI that has to be True

I am an AI Research Engineer at IdeasLab Formosa in Taipei. I take research models through deployment on the hardware and data they meet in practice. At IdeasLab that means a phone that rebuilds a golf swing in 3D from two ordinary cameras, and coaching software whose numbers change how someone moves. Before that, it meant recognising products in an unmanned 7-Eleven store.

The difficult failures are often missing from the validation set. I have seen a pose model improve on paper while introducing a field bias, a reconstruction preserve its proportions at the wrong scale, and a language model explain a false result confidently. I check those outputs against real sessions, geometry and deterministic calculations.

Linear algebra, probability, multi-view geometry and optimisation have let me move between generative models, retail vision, biomechanics and LLM systems without relearning the fundamentals each time.

I also do a lot of the writing: research proposals, conference submissions and mathematical walkthroughs. One proposal won TAITRA’s “Go Healthy with Taiwan” award, one of three winners from 638 entries. At IdeasLab I wrote the team’s rules for working with AI coding tools, and I mentor engineers on using those tools without losing the ability to reproduce their results.

## Career and education

### AI Research Engineer, IdeasLab Formosa (2025 to present)

Taipei, Taiwan

- Led R&D of the 2D-to-3D pose lifting system behind a markerless golf-swing analysis app that runs its whole pipeline on the phone.
- Reduced mean per-joint error 8cm → 3cm, pelvis-relative; +30% reconstruction fidelity under occlusion and fast motion.
- Deployed to Apple ARM silicon via CoreML with no cloud round-trip and no footage leaving the device, used by PGA professionals.
- Designing an LLM coaching system where code does the scoring and every point cites its rule.
- Wrote the team's rules, skills and hooks for AI coding agents; mentor engineers on working with them.
- Technical lead on the proposal that won the TAITRA "Go Healthy Taiwan" award; selected to represent engineering at Taiwan Expo Europe.

### AI Engineer, President Information Corp (統一資訊) (2023 to 2025)

Taipei, Taiwan

- Led a real-time planogram compliance system presented as a technical poster at NVIDIA GTC 2025.
- Combined object detection with fine-tuned embeddings, so new products could be added without retraining.
- Deployed occlusion-robust product recognition to Taiwan's 8th unmanned 7-Eleven store, +30% performance.
- Built NVIDIA Metropolis microservices, TAO, DeepStream and TensorRT pipelines across cloud and edge.
- LLM-assisted entity extraction on GCP Document AI; a predictive model over 5M+ data points at 95% confidence.

### MSc, Electrical Engineering & Computer Science, National Taipei University of Technology (2021 to 2023)

Taipei, Taiwan · GPA 3.8/4.0

- Thesis: Content and Spatial Aware Generative Model for Inpainting.
- GAN architectures, attention mechanisms and the mathematical foundations of deep learning.

### Software Developer, AIBS Software Solutions (2017 to 2021)

Coimbatore, India

- Custom ERP systems for manufacturing workflows; inventory and tax tracking resolving 95% of reported discrepancies.
- Full-stack development of those systems, from the database to the screen.

### BSc, Information Technology, Sri Ramakrishna Mission Vidyalaya College (2011 to 2014)

Coimbatore, India · GPA 7.9/10

- Foundations in computer science, algorithms and systems design.

## What I’m open to

Research collaborations, hard applied problems in 3D vision or on-device AI, and conversations about either. I am based in Taiwan and open to relocating.

## Elsewhere

- Email: ajishpradeep@gmail.com
- GitHub: https://github.com/Ajishpradeep
- LinkedIn: https://linkedin.com/in/ajishpradeep