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Mohammad Ausaf

mohammad ausaf

SE (AI/ML) @ Galleri5
Agentic Content & Backend Systems

get to know me Building AI systems that power real content - from streaming shows to experimental pipelines.

Software Engineer at Galleri5. Joined when we were just a few people, so I've worn many hats - backend architecture, ML research, DevOps, you name it. Core work revolves around backend systems and AI/ML - everything from classical ML (NLP, clustering) to cutting-edge generative AI for video and image creation.

Built the backend and AI pipelines that power actual production content. The work is currently being used to create shows streaming on platforms like JioCinema/Hotstar, with more projects in the pipeline. This involves designing autonomous AI agents that can interpret prompts and coordinate between different models, plus building the internal tooling to make these workflows actually usable by the team.

On the R&D side - working with ComfyUI workflows, implementing LoRAs, finetuning models, and building new generation pipelines. Basically handling the full stack of AI content generation - from experimenting with new techniques to making sure everything runs smoothly in production.

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My Skills

Agentic AI
Generative AI
Backend Development
Cloud & DevOps
Python
FastAPI
PyTorch
MongoDB
Redis
Google Cloud
Firebase
Vector Databases
ComfyUI
Docker
LangGraph
LangChain
Google Gemini
Replicate API
RunPod
Celery
OpenAI
FAL AI
ElevenLabs
Workflow Orchestration
Enterprise Permissions
Asset Management
Multi-Modal AI
Content Generation
Real-time Collaboration

experience Here is a summary of my professional experience and education.

software engineer (ai)

Galleri5 - Bengaluru

Dec 2023 - Present

  • Architected and developed Tinify AI Backend - a comprehensive multi-modal AI content generation platform with extensive API endpoints
  • Built advanced workflow orchestration engine with intelligent task chaining and multi-provider integration (Google Gemini, Replicate, FAL AI, ElevenLabs)
  • Designed enterprise-grade permission system with hierarchical access control, organization management, and secure collaboration features
  • Implemented sophisticated asset management system with custom validation, metadata extraction, face detection, and automated content analysis for multiple file types
  • Developed dynamic AI workflow planner that interprets natural language prompts to generate executable multi-step content creation pipelines
  • Created advanced image generation systems with multi-reference processing, style transfer, and intelligent tag mapping for complex visual compositions
  • Built real-time collaborative AI chat system with MongoDB optimization, connection pooling, and secure Firebase authentication

Tech Stack: Python, FastAPI, MongoDB, AWS S3, Google Cloud, Firebase, Redis, PyTorch, Vector Databases, ComfyUI, Docker, LangGraph, OpenAI, Replicate API

bachelor of technology - computer science

KIET Group of Institution, Ghaziabad

2024

Relevant Coursework:

  • Probability and Statistics, Calculus, Operating Systems
  • Data Structures and Algorithms, Machine Learning
  • Databases

projects See the stuff I started here, and the ones I didn't finish in my git

Tinify Platform Screenshot

tinify - agentic ai content platform

Enterprise agentic AI platform where autonomous agents orchestrate complex multi-modal content workflows. Features intelligent workflow planning, real-time collaboration systems, and dynamic task execution across multiple AI providers. Technologies: FastAPI, MongoDB, LangGraph, Multi-Agent Systems, Computer Vision.

Case Study
Searchy Screenshot

searchy - intelligent image search

macOS application for intelligent image discovery and management. Uses CLIP models for semantic understanding and on-device processing for privacy-focused visual search and organization. Technologies: Swift, Python, CLIP, On-Device AI, Computer Vision.

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