About mohammad
Portfolio: https://ausafmo.comG5 AI Studio: https://aistudio.galleri5.comAI platform engineer at Galleri5, part of Collective Artists Network, working on G5 AI Studio - a production AI content platform for ads, microdramas, shows, and films.I build and operate agentic AI systems across brief interpretation, workflow planning, generation, editing, validation, review, and long-running execution.My work spans product and infrastructure: specialist-agent orchestration, typed tool execution, evals/validators, workflow state, real-time streaming, inference routing, GPU dispatching, and production reliability.These systems have powered production AI content workflows including AI Mahabharat on JioHotstar and Chiranjeevi Hanuman, which premiered on IMAX and crossed 8M+ YouTube views.Key systems I've built or own: -> Agentic workflow runtime for G5 AI Studio: Built the end-to-end agentic workflow module that turns creative briefs into executable production flows covering planning, specialist-agent orchestration, dynamic tool registry, typed tool execution, evals/validators, streaming state, and human-in-the-loop review. -> Multi-model inference platform: Built the GPU Dispatcher that evolved into the Inference Gateway, now routing 80+ models across 7 providers including external APIs and internal H100 GPU capacity. The system handles WRR scheduling, provider failover, model routing, Redis queues, lease-based concurrency, retry handling, WAL recovery, production monitoring, and manifest-driven onboarding. -> AI asset platform work with Microsoft: Versioned storage, semantic retrieval, automated quality evaluation, preference-aware ranking, and real-time review workflows.Earlier work: Built ML and data pipelines for Galleri5's Social Intelligence and Trends Intelligence products: semantic product search across millions of SKUs, sentence-transformer classification, real-time Pinecone upsertion, async ingestion pipelines, trend discovery, product curation, catalog enrichment, deduplication, clustering, and forecasting across social, media, creator, and commerce datasets.Tech: Python, FastAPI, PyTorch, LangChain, Microsoft Agent Framework, Gemini, Claude, OpenAI, ComfyUI, MongoDB, Redis, Pinecone, Docker, GCP, Azure, AWS, RunPod, Replicate.
Key Skills
Experience
Software Engineer, Ai Platform & Infrastructure
CurrentGalleri5 (now, Part Of Collective Artists Network)
Working on G5 AI Studio, Galleri5's production AI content platform for ads, microdramas, shows, and films. Built the end-to-end agentic workflow module that turns creative briefs into executable production flows: planning, specialist-agent orchestration, dynamic tool registry, typed tool execution, evals/validators, streaming state, and human-in-the-loop review. Built the GPU Dispatcher that evolved into the Inference Gateway, now routing 80+ models across 7 providers including external APIs and internal H100 GPU capacity. Handles WRR scheduling, provider failover, Redis queues, lease-based concurrency, retry handling, WAL recovery, monitoring, and manifest-driven onboarding. Contributed to production AI content workflows including AI Mahabharat on JioHotstar and Chiranjeevi Hanuman, which premiered on IMAX and crossed 8M+ YouTube views. Co-developing an AI asset platform with Microsoft: versioned storage, semantic retrieval, automated evaluation, preference-aware ranking, and real-time review workflows. Earlier: built ML/data pipelines for Galleri5's Social Intelligence and Trends Intelligence products, including semantic product search across millions of SKUs, sentence-transformer classification, Pinecone upsertion, async ingestion, trend discovery, product curation, deduplication, clustering, and forecasting.
Machine Learning Engineer Trainee
Galleri5 (now, Part Of Collective Artists Network)
Education
Kiet Group Of Institutions
Bachelors
The Army Public School
The Army Public School
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Common Questions
What is mohammad's expertise?
mohammad specializes in Vector Database Engineer, with expertise in cascading style sheets, computer vision, data analysis, data science, deep learning.
Where is mohammad located?
mohammad is based in bangalore, karnataka, india.
How much experience does mohammad have?
mohammad has 3+ years of professional experience.
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