resume.json

{
  "basics": {
    "name": "Krishna Penukonda",
    "label": "Full Stack Software Engineer",
    "image": "https://avatars.githubusercontent.com/u/13855549?v=4",
    "email": "[email protected]",
    "phone": "+65 97300769",
    "website": "https://penukonda.me",
    "summary": "As an early engineer at a Y Combinator backed AI startup, I build scalable web-based AI content generation tools from scratch with a bias for fast delivery.",
    "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"
      },
      {
        "network": "StackOverflow",
        "username": "krishna-penukonda",
        "url": "https://stackoverflow.com/users/5257805/krishna-penukonda"
      }
    ]
  },
  "work": [
    {
      "name": "Hypotenuse AI (YC Summer '20)",
      "position": "Lead Software Engineer",
      "location": "Singapore",
      "url": "https://hypotenuse.ai",
      "startDate": "2021-01-04",
      "summary": "Leading the development of an AI content generation platform for e-commerce brands.",
      "highlights": [
        "Developed and maintained full-stack web applications using FastAPI and React.",
        "Designed & built ",
        "Established engineering best practices for the team and mentored junior engineers."
      ]
    },
    {
      "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": "Computer Science",
      "studyType": "Bachelor of Engineering",
      "endDate": "2020-09"
    }
  ],
  "skills": [
    {
      "name": "Artificial Intelligence",
      "keywords": [
        "Generative AI",
        "Large Language Models (LLMs)",
        "Diffusion Models",
        "PyTorch",
        "Vector Databases",
        "Retrieval-augmented generation (RAG)"
      ]
    },
    {
      "name": "Programming Languages",
      "keywords": [
        "Python",
        "TypeScript",
        "JavaScript",
        "Rust",
        "Go"
      ]
    },
    {
      "name": "Web Frameworks",
      "keywords": [
        "React.js",
        "Next.js",
        "FastAPI"
      ]
    },
    {
      "name": "Databases",
      "keywords": [
        "DynamoDB",
        "Redis",
        "PostgreSQL",
        "ElasticSearch"
      ]
    },
    {
      "name": "Tools & Infrastructure",
      "keywords": [
        "Git",
        "Docker",
        "OpenTelemetry",
        "Grafana"
      ]
    },
    {
      "name": "AWS Services",
      "keywords": [
        "Elastic Beanstalk",
        "DynamoDB",
        "S3",
        "AWS ECS",
        "Lambda"
      ]
    }
  ],
  "projects": [
    {
      "name": "AI-Augmented Pathology Research Platform",
      "description": "Final Year Project in collaboration with Qritive",
      "highlights": [
        "Engineered a computer vision model training & inference pipeline to handle very large (1-10 gigapixel) pathology images",
        "Designed and built a  for pathology image analysis",
        "Technologies: Python, PyTorch, OpenCV, OpenSlide"
      ]
    }
  ]
}