Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Atmika Honnalgere. I specialize in applying machine learning and AI techniques to complex visual computing challenges, from generative AI tools for photography workflows to 3D assets and animation. With a strong foundation in computer science and hands-on experience across startups and established companies like Electronic Arts, I enjoy mentoring teams and driving technical innovation. My passion lies in blending creativity with technology to create scalable AI-powered solutions. I’m excited about exploring new frontiers in generative animation and computer vision, and I’m always eager to collaborate on projects that push the boundaries of what’s possible in visual content creation.…Hi, I'm Atmika Honnalgere. I specialize in applying machine learning and AI techniques to complex visual computing challenges, from generative AI tools for photography workflows to 3D assets and animation. With a strong foundation in computer science and hands-on experience across startups and established companies like Electronic Arts, I enjoy mentoring teams and driving technical innovation. My passion lies in blending creativity with technology to create scalable AI-powered solutions. I’m excited about exploring new frontiers in generative animation and computer vision, and I’m always eager to collaborate on projects that push the boundaries of what’s possible in visual content creation.

Atmika Honnalgere

AI Engineer, Data Scientist, Game Designer, +2





Hi, I'm Atmika Honnalgere. I specialize in applying machine learning and AI techniques to complex visual computing challenges, from generative AI tools for photography workflows to 3D assets and animation. With a strong foundation in computer science and hands-on experience across startups and established companies like Electronic Arts, I enjoy mentoring teams and driving technical innovation. My passion lies in blending creativity with technology to create scalable AI-powered solutions. I’m excited about exploring new frontiers in generative animation and computer vision, and I’m always eager to collaborate on projects that push the boundaries of what’s possible in visual content creation.…Hi, I'm Atmika Honnalgere. I specialize in applying machine learning and AI techniques to complex visual computing challenges, from generative AI tools for photography workflows to 3D assets and animation. With a strong foundation in computer science and hands-on experience across startups and established companies like Electronic Arts, I enjoy mentoring teams and driving technical innovation. My passion lies in blending creativity with technology to create scalable AI-powered solutions. I’m excited about exploring new frontiers in generative animation and computer vision, and I’m always eager to collaborate on projects that push the boundaries of what’s possible in visual content creation.

Available to hire

Hi, I’m Atmika Honnalgere. I specialize in applying machine learning and AI techniques to complex visual computing challenges, from generative AI tools for photography workflows to 3D assets and animation. With a strong foundation in computer science and hands-on experience across startups and established companies like Electronic Arts, I enjoy mentoring teams and driving technical innovation.

My passion lies in blending creativity with technology to create scalable AI-powered solutions. I’m excited about exploring new frontiers in generative animation and computer vision, and I’m always eager to collaborate on projects that push the boundaries of what’s possible in visual content creation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Scientist — Applied ML for 3D Assets and Animation at Electronic Arts

July 31, 2025 - August 1, 2025

Architected and led technical direction for end-to-end ML solutions processing multimodal data such as 3D geometry and motion capture. Mentored 5+ engineers through ML deployment workshops, improving cross-functional knowledge exchange. Developed a customizable SageMaker-based ML workflow with automated testing, monitoring, and deployment, increasing team productivity by 40%. Built production-scale ML system for automated motion capture tagging using attention-based Graph Neural Networks, achieving a 10x speedup over manual processes. Pioneered multimodal AI approaches by prototyping LLM workflows for animation understanding to enable cross-modal retrieval. Led productization of corrective blendshape generation models with artist-in-the-loop validation, reducing manual prep time by 40%. Architected large-scale training pipeline for 3D datasets, reducing training time by 60%. Implemented robust production monitoring using AWS services.

AI Consultant and Technical Lead (Part-Time) at Stealth Startup – AI Tools for Photography Workflows

September 1, 2024 - Present

Consulted with an early-stage startup to develop a suite of generative AI tools for visual content creation and management. Implemented a modular, diffusion-based portrait editing pipeline with conditional control over visual attributes such as clothing and pose. Integrated LoRA adapters and fine-tuned ControlNets to enable personalized, high-fidelity generation. Designed production-ready backend infrastructure on GCP using vector-based retrieval systems, custom vision encoders, and containerized services supporting low-latency workflows at scale. Established data engineering standards through detailed segmentation, annotation, and cleanup protocols for privacy-compliant training datasets, ensuring robust model generalization under limited supervision.

Machine Learning Engineer at Xtract AI

March 1, 2022 - August 1, 2025

Utilized adversarial learning to design and improve camouflage, reducing detection probability by a factor of 6. Generated synthetic datasets simulating various weather conditions and terrains. Designed and implemented prototype obstacle detection for maritime vessels, successfully presented to DND Canada securing further development approval. Developed models using multi-sensor data for threat detection and classification, improving accuracy by 10%.

Project Assistant at Medical Imaging Group & Visual Computing Lab, Indian Institute of Science

February 28, 2019 - August 1, 2025

Developed a model to classify Normal vs Malignant Cells in B-ALL White Blood Cancer Microscopic Images, achieving 81% accuracy. Published findings in Springer Proceedings ISBI 2019 C-NMC Challenge.

Member of Technical Staff at Tonbo Imaging Pvt. Ltd.

August 31, 2018 - August 1, 2025

Developed custom CUDA kernels to accelerate image enhancement modules (turbulence removal, fog removal, low-light enhancement, color balancing, sharpening). Built C++ software to interface and control customized camera systems.