Please complete the CAPTCHA to continue
A concise factual answer block for searchers comparing this professional profile.
Haris Widjaja is listed as AI Research Engineer at Voaige, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a matched LinkedIn profile for Haris Widjaja.
Haris Widjaja previously worked as Applied Research Intern - Large Language Models at Bny Mellon and Co-Founder at Stealth Startup. Haris Widjaja holds Master Of Science - Ms, Artificial Intelligence And Innovation from Carnegie Mellon University.
This section adds company-level context without repeating Haris Widjaja's masked contact details.
Review company-level records connected to Haris Widjaja before choosing the right outreach path.
Hi there, I'm Haris 👋I'm currently a founding research engineer at Voaige, where we build generalist AI for robotics. My research in deep learning has played a key role in the design of our product, DeepSpace, which is already operating real industrial robots.I hold a Master's in Artificial Intelligence and Innovation from Carnegie Mellon, where I structured my degree around my love of theoretical and mathematical rigor, taking courses in optimization, graphical/generative models, and reinforcement learning among others. I had also contributed to projects in reliable, fair, and ethical machine learning and natural language processing that have been accepted in venues such as EMNLP and AAAI.I am driven as much by the sense of awe and wonder that comes from scientific discovery as the impact my work can make. In working to understand the great mystery that is intelligence, I hope to realize a world where machines take over the burden of satisfying our material needs, freeing us to pursue things that truly matter.Thanks for stopping by!
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
Pittsburgh, Pennsylvania, Us
Teaching robots to do challenging physical and perceptual tasks that require advanced, fine-grained visual understanding.Focus areas:• Efficient adaptation of foundation models• Dexterous object manipulation in extreme clutter• Bridging low-level sensing with high-level symbolic reasoning and long-horizon planning
New York, Ny, Us
Financial chatbot using LLMs, RAG, and function calling/tool use. Combines the flexibility and generalization of LLMs with the reliability of traditional question answering.
Mountain View, Wy, Us
Served as technical co-founder for various AI products (now actively managed by my co-founder Akshaj Jain):• www.coderdocs.ai - Convert code to documentation. We now have paying enterprise users in the waitlist• www.replygen.com - Former platform using generative AI for marketing materialsIn doing so, I learned to build and deploy full-stack web apps with generative AI capabilities on the cloud.Having given it a serious shot, I decided to leave the full-time founder path (for now 😉) to indulge my inner mad scientist and focus on AI/ML research.
Pittsburgh, Pennsylvania, Us
Designed and executed experiments that demonstrate how learning to prompt our grasp foundation model enables a 10x speedup in the convergence rate of reinforcement learning-based object manipulation.
Pittsburgh, Pennsylvania, Us
Worked with the CEO to design a foundation model for robotic grasping. Grab (almost) anything, using any robotic gripper and any camera, in the real world or in simulation.
Pittsburgh, Pennsylvania, Us
Wrote the knowledge graph module of ExplainaBoard, an open-source ML evaluation toolkit. Easy knowledge graph model evaluation is now accessible to everyone doing knowledge graph research.Culminated in a publication in EMNLP'22 (https://arxiv.org/abs/2208.11024). Supervised by Graham Neubig and Pengfei Liu at NeuLab (https://www.cs.cmu.edu/~neulab/).
Boise, Idaho, Us
Full stack data science role spanning machine learning, deep learning, big data engineering, and data visualization.I worked on modernizing Micron's rule-based predictive maintenance stack using time series analytics, deep learning, and big data engineering. Wrangled high-volume and high-dimensional time-series datasets (400M+ rows, 10k+ dimensions) to predict manufacturing tool failures.I also designed interpretability methods (feature importance) for my proposed deep learning models, adapting from attention mechanisms, facilitating understanding and stronger buy-in from decision-makers and executives.Tech stack:Machine learning: TensorFlow, scikit-learn, LSTMs, autoencoders, random forests, attentionBig data: Apache Hadoop, Apache Spark, Apache Hive, SnowflakeData analysis and visualization: Tableau, pandas, matplotlib, numpy, scipyWeb dev: Django, Django REST Framework
Singapore, Singapore, Sg
Audio Intelligence Monitoring at the Edge• Prototyped convolutional neural network (CNN) models using TensorFlow for sound recognition tasks.• Investigated efficacy of various digital signal processing methods (spectrograms, mel-frequency cepstral coefficients, etc.) as feature representations on classification accuracy.• Optimized models for both accuracy and size/speed for edge computing purposes.Supervised by Prof. Woon-Seng Gan. Project done for Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU).
Quick answers generated from the profile data available on this page.
Haris Widjaja works for Voaige.
Haris Widjaja is listed as AI Research Engineer at Voaige.
Haris Widjaja is based in Pittsburgh, Pennsylvania, United States while working with Voaige.
Haris Widjaja has worked for Voaige, Bny Mellon, Stealth Startup, Carnegie Mellon University - School Of Computer Science - Language Technologies Institute, and Micron Technology.
You can use AeroLeads to view verified contact signals for Haris Widjaja at Voaige, including work email, phone, and LinkedIn data when available.
Haris Widjaja holds Master Of Science - Ms, Artificial Intelligence And Innovation from Carnegie Mellon University.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts