Praveen Chittem

Sr. AI Software Developer @ ViewSonic

About

With over 5 years of experience in AI/ML, I specialize in building end-to-end intelligent systems that bridge cutting-edge research with business impact. I hold a Master’s in Electrical Engineering and Computer Science from National Taipei University of Technology and currently serve as a Senior AI Developer at ViewSonic. My expertise spans multi-agent systems, large language models, graph neural networks, and computer vision, complemented by strong foundations in distributed systems, multi-GPU training, and scalable ML infrastructure. Highlights of my work include: AI Sales Assistant: Designed and led a multi-agent conversational system integrating vector databases, LLMs, and APIs to empower sales teams with real-time insights. Computer Vision & GNNs: Developed sketch recognition and object detection systems achieving >90% accuracy on large-scale datasets. Model Optimization: Fine-tuned and distilled large transformer models (600M+ parameters) to double inference speed while retaining GPT-4o-level accuracy. AI for Accessibility: Built speech-to-sign-language systems combining Whisper ASR and GANs for inclusive communication. Infrastructure Leadership: Architected Kubernetes + Hadoop clusters for distributed ML workloads on multi-GPU environments. I thrive at the intersection of research and production, constantly pushing boundaries in AI for human–machine interaction, real-time systems, and applied generative AI. Open to opportunities in the UK where I can apply my skills to solve high-impact problems.

Country

Taiwan

City

Taipei

Industry

Computer Software

Skill

Machine Learning, Large Language Models (LLM), Rust (Programming Language), C++, Deep Learning, TensorFlow, Image Processing, C (Programming Language), Python (Programming Language), Matlab, Object Detection, CUDA, Kubernetes, kubeflow, docker, Keras, OpenCV, Neural Networks, Scikit-Learn, XGBoost

Experience

Sr. AI Software Developer

ViewSonic

2022-3 - Present · 4 yrs 7 mos

Taipei City, Taipei City, Taiwan

Key Projects & Achievements AI Sales Assistant (Lead Developer): Built a multi-agent system integrating LLMs, vector search (Qdrant), and real-time APIs, enabling sales teams to access product info, competitor insights, and documentation seamlessly. Graph Neural Networks for Stroke Recognition: Achieved 92% accuracy in sketch recognition with GNN + LSTM hybrid architectures, optimized for real-time inference. Large-Scale Computer Vision: Curated 500K+ annotated dataset, trained PyTorch object detection models (mAP 0.82) for digital whiteboards. Model Distillation & Fine-Tuning: Optimized a 600M parameter model, reducing inference latency by 2x while retaining GPT-4o-level accuracy. Distributed Infrastructure: Deployed Kubernetes & Hadoop clusters with GPU acceleration for large-scale training. Reinforcement Learning for Pose Classification: Developed real-time pose estimation (80% accuracy) using Lie Algebra and policy gradients. Speech-to-Sign-Language Translation: Combined Whisper ASR + GAN-based synthesis for ASL gesture generation. Cross-functional Leadership: Guided peer engineers and collaborated across product, sales, and R&D teams to deliver AI-driven features.

Artificial Intelligence Engineer

Neurelli Corporation 耐銳利科技股份有限公司

2020-8 - 2022-3 · 1 yr 8 mos

Linkou District, New Taipei City, Taiwan

1. Responsible for understanding the problems faced by the big manufacturing companies to achieve higher precision in manufacturing parts. 2. Analyzing the data using Feature Engineering and Statistics to make a robust dataset suitable for machine learning model training. 3. Developing Machine learning models such as boosted trees from scratch with the help of statistics and deploying them into the client's side. 4. Developing Generative Adversarial Networks(GANs) for a top LCD Manufacturer to detect defects in the panels. 5. Worked on Dockers, Kubernetes and Kubeflow to train models at high speed in a cluster.