Top Skills
Retrieval-Augmented Generation (RAG)
Experienced in developing and implementing RAG pipelines for enhanced AI performance.
Technology Industry
Extensive experience in the technology industry, building high-performance web applications and AI systems.
AI Systems Architecture
Specialized in designing and implementing complex AI workflows and agentic systems.
Bio
I am a Senior Full-stack Engineer and AI Systems Architect with over three years of experience building high-performance web applications and agentic AI workflows. I hold a Bachelor of Science in Software Engineering from the Arba Minch Institute of Technology.
My technical focus centers on the intersection of Next.js, Python, and advanced AI automation. I have a deep background in developing Retrieval-Augmented Generation (RAG) pipelines and utilizing LLM agents to solve complex data processing challenges.
Currently, I am the founder of Omnisu.app, an AI-powered platform designed for multilingual transcription and video captioning. My work often involves optimizing speech-to-text (STT) technologies, such as Google Chirp and Faster-Whisper, to streamline video post-production.
I am passionate about product-led growth and am currently focused on scaling my SaaS ventures within the startup ecosystem.
Elevator Pitch
Omnisu is an AI-powered video editing and captioning platform designed for content creators. Its primary focus is on automating the post-production workflow, specifically through high-precision AI transcription and dynamic captioning.
Key features and capabilities include:
Precision Transcription: The platform offers AI transcription with a reported 99.9% accuracy rate, specifically tuned to handle global dialects, regional accents, and local slang. It supports over 111 languages, with a specialized focus on Ethiopian languages such as Amharic, Oromigna, and Tigrigna.
Video Editor: Includes a web-based editor that allows for frame-perfect caption timing, animated text effects, and custom brand styling (fonts, colors, and palettes).
Multi-Format Workflow: Users can instantly resize videos for various platforms like TikTok (9:16), YouTube (16:9), and Instagram Reels while maintaining caption placement.
Analytics and Collaboration: The platform provides an analytics dashboard to track engagement and offers team-based workspaces for real-time collaboration and project management.
Security and Infrastructure: The service emphasizes security, featuring AES-256 encryption for data at rest and in transit, and asserts compliance with SOC 2 and GDPR standards.
Pricing Structure: It operates on a tiered model (Starter, Creator, Pro, Studio), utilizing a "MISU coin" system to manage AI feature usage. Payment options include local services like Telebirr and CBE Birr, as well as international cards via Stripe. In addition to its core transcription and editing capabilities, Omnisu has expanded its suite to include specialized AI tools for content distribution and social media growth:
1. AI Video Descriptions
This feature automates the metadata process for your videos.
Contextual Generation: The AI analyzes the transcript and visual content to generate SEO-optimized descriptions, titles, and tags.
Platform Tailoring: You can specify the tone (e.g., professional, clicky, or educational) to match the requirements of YouTube, LinkedIn, or Facebook.
Timestamping: It automatically identifies key chapters and generates timestamps, making long-form content more navigable for viewers.
2. Short Builder
Designed to bridge the gap between long-form horizontal video and vertical social media.
One-Click Resizing: Instantly converts 16:9 landscape footage into 9:16 vertical format.
Smart Cropping: Uses AI face and object detection to ensure the speaker or the main action remains centered in the frame, even after cropping.
Template Integration: Allows you to apply "Shorts-style" templates that include progress bars, headline bars, and baked-in animated captions.
3. Viral Magic Clip
This is the platform's high-end automation tool for repurposing content.
Virality Scoring: The AI scans long-form videos (like podcasts or webinars) and identifies segments with the highest "virality potential" based on emotional peaks, high-energy speech, or concise insights.
Automated Extraction: It "magically" extracts these 30-60 second clips, automatically adding dynamic, high-engagement captions that change color as words are spoken.
Multi-Platform Ready: It produces a batch of clips simultaneously, optimized for TikTok, Instagram Reels, and YouTube Shorts, significantly reducing the manual labor of content repurposing.
Industry
Technology
Website
Team Size
1-5 employees
Funding Stage
Unsure
Funding Raised
None/Bootstrapped
Annual Revenue
$0 to $100k
| Skill | Strength | Explanation |
|---|---|---|
| Retrieval-Augmented Generation (RAG) | 90 | Experienced in developing and implementing RAG pipelines for enhanced AI performance. |
| Technology Industry | 90 | Extensive experience in the technology industry, building high-performance web applications and AI systems. |
| AI Systems Architecture | 89 | Specialized in designing and implementing complex AI workflows and agentic systems. |
| Software Engineering | 88 | Senior-level experience in building high-performance web applications and agentic AI workflows. |
| Python | 88 | Extensively uses Python for advanced AI automation, backend development, and data processing. |
| AI/ML Industry | 88 | Specializes in the AI/ML domain, particularly in agentic AI, RAG pipelines, and natural language processing. |
| Web Application Development | 87 | Over three years of experience in building and deploying robust web applications. |
| AI/ML Development | 85 | Deep background in advanced AI automation, RAG pipelines, and utilizing LLM agents for complex data challenges. |
| Speech-to-Text (STT) Technology | 80 | Experienced in optimizing STT technologies like Google Chirp and Faster-Whisper for efficient transcription. |
| Workflow Automation | 80 | Specialized in streamlining video post-production workflows through advanced AI automation. |
| Google Chirp | 75 | Hands-on experience optimizing Google Chirp for high-precision audio transcription. |
Title
Bachelor of Science in Software Engineering
Position Description
Completed undergraduate studies focused on foundational and advanced software engineering principles and practices.
Accomplishment Notes
Graduated with a Bachelor of Science in Software Engineering, acquiring a strong technical background for future roles.
Title
Founder & AI Systems Architect
Position Description
Leading the development of an AI-powered platform for multilingual transcription and video captioning, optimizing speech-to-text technologies, and driving product-led growth for SaaS ventures.
Accomplishment Notes
Founded Omnisu.app, developing an AI platform with 99.9% transcription accuracy across 111+ languages, including specific Ethiopian dialects. Successfully implemented advanced features for AI video descriptions, smart cropping, and viral clip extraction, focusing on scaling the SaaS within the startup ecosystem.
Title
Senior Full-stack Engineer & AI Systems Architect
Position Description
Responsible for building high-performance web applications and designing agentic AI workflows, focusing on Next.js, Python, and advanced AI automation.
Accomplishment Notes
Accumulated over three years of experience developing robust web applications and advanced AI systems, laying the groundwork for entrepreneurial ventures.