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@tasercake
Last active January 5, 2026 20:32
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{
"basics": {
"name": "Krishna Penukonda",
"label": "Full Stack Software Engineer",
"image": "https://avatars.githubusercontent.com/u/13855549?v=4",
"email": "[email protected]",
"website": "https://penukonda.me",
"summary": "Generalist AI Engineer. Currently working on agentic capabilities for interactive hyper-realistic video avatars at Tavus (YC S21).\n\nPreviously built scalable agentic systems for ecommerce at Hypotenuse AI (YC S20), and developed computer vision models for instance segmentation and real-time object detection systems at Qritive and Red Dot Robotics.",
"location": {
"city": "Singapore",
"countryCode": "SG"
},
"profiles": [
{
"network": "LinkedIn",
"username": "krishna-penukonda",
"url": "https://www.linkedin.com/in/krishna-penukonda"
},
{
"network": "GitHub",
"username": "tasercake",
"url": "https://github.com/tasercake"
}
],
"url": "https://penukonda.me"
},
"work": [
{
"name": "Tavus (YC Summer '21)",
"position": "Senior Software Engineer",
"startDate": "2025-11",
"endDate": "",
"location": "Singapore",
"url": "https://tavus.io/",
"summary": "Building agentic capabilities for interactive hyper-realistic video avatars",
"description": "",
"highlights": []
},
{
"name": "Hypotenuse AI (YC Summer '20)",
"position": "Lead Software Engineer",
"location": "Singapore",
"url": "https://hypotenuse.ai",
"startDate": "2021-01-04",
"summary": "First full-time hire, owned engineering end-to-end at Hypotenuse AI. Architecting and scaling AI-powered content and image pipelines, cloud infrastructure, and DevOps workflows while mentoring the team and working with product to drive reliable, high-impact releases.",
"highlights": [
"Owned architecture, reliability, and roadmap for AI content systems at scale (1M+ users, P99 <500ms, >99.999% availability) - balancing cost, velocity, and product tradeoffs",
"Established engineering standards and mentored 25+ engineers; drove team-wide velocity improvements (70% faster CI, 50% faster PR cycles) and instituted observability/incident practices that cut MTTA to <60s.",
"Accountable for platform economics and operational excellence - delivered 30% infrastructure cost reduction while scaling LLM and media workloads to enterprise SLAs."
],
"description": "",
"endDate": "2025-08-01"
},
{
"name": "Qritive",
"position": "Computer Vision Engineer",
"url": "https://qritive.com",
"startDate": "2018-10",
"endDate": "2018-12",
"summary": "Developed Object Detection and Instance Segmentation models for use on gigapixel-scale medical images",
"location": "Singapore",
"highlights": [
"Technologies: Python, Keras, TensorFlow, OpenCV, OpenSlide"
]
},
{
"name": "Red Dot Robotics",
"position": "Computer Vision Engineer",
"startDate": "2018-05",
"endDate": "2018-09",
"summary": "Developed real-time Object Detection and Tracking models for deployment on autonomous vehicles",
"location": "Singapore",
"highlights": [
"Technologies: Python, Keras, TensorFlow, OpenCV"
]
}
],
"education": [
{
"institution": "Singapore University of Technology and Design (SUTD)",
"area": "Information Systems Technology and Design",
"studyType": "Bachelor of Engineering",
"endDate": "2020-09"
}
],
"skills": [
{
"name": "Core Skills",
"keywords": [
"Generative AI",
"LLMOps",
"Full Stack Development",
"Site Reliability Engineering",
"Prompt engineering",
"Technical Leadership",
"DevOps",
"Cloud Architecture"
]
},
{
"name": "Technologies",
"keywords": [
"Python",
"TypeScript",
"React.js",
"FastAPI",
"PostgreSQL",
"Celery",
"DynamoDB",
"Redis",
"AWS",
"OpenTelemetry",
"GitHub Actions",
"Vector Databases",
"Git",
"Docker",
"PyTorch",
"Next.js",
"Rust"
]
}
]
}
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