AI/ML Engineer | MLOps | Computer Vision | Generative AI | 10+ Years VFX Production at DNEG, MPC & The Mill | Docker | RAG/LLM Systems | Python
I'm an AI/ML Engineer with 10+ years of hands-on production experience at three of the world's top VFX studios — DNEG, MPC, and The Mill (Technicolor). My credits include blockbuster productions like Dune, Aquaman 2, Fast & Furious 10, and The Mandalorian.
Over the past two years I've been building seriously in AI — completing a structured ML program with 10+ real-world projects covering Computer Vision, Generative AI, RAG/LLM systems, MLOps, and Docker deployment.
What I build:
RAG pipelines & LLM-powered systems (Medical Assistant, document Q&A)
MLOps pipelines with Docker, GitHub Actions CI/CD, and Model Registry
Computer Vision models (CNN, VGG-16, object detection, image processing)
Flask & API deployments for production-ready ML inference
Generative AI tools (Stable Diffusion, ComfyUI, ControlNet, LoRA training)
What makes me different:
Most AI engineers lack visual intuition. Most VFX artists lack engineering depth. I have both — and I apply production-grade quality standards to every ML system I build.
Live Projects:
AI Rotoscoping Tool: komal-vfx-rotoscoping.streamlit.app
AI Subtitle Generator: komal-subtitle-generator.streamlit.app
GitHub: github.com/Komal7-eng
Work Terms
I am available for fixed-price and project-based engagements. I work in structured milestones with clear deliverables at each stage.
Communication: I provide weekly updates and am responsive within 24 hours
Revisions: Up to 2 rounds of revisions included per milestone
NDA: Happy to sign NDAs for confidential or proprietary projects
Timezone: IST (UTC+5:30) — flexible for overlap with US/EU teams
Preferred projects: AI/ML engineering, MLOps pipelines, computer vision, LLM/RAG systems, generative AI tooling