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πŸ’Ό
Open To Work
πŸ’Ό
Open To Work
  • Aldie, USA
  • 18:40 (UTC -04:00)
  • LinkedIn in/kkrishn-tech
  • Joined Jun 19, 2026

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kkrish-tech/README.md

πŸ‘‹ Hello! I'm Karthi

πŸŽ“ M.Eng. Computer Science @ Virginia Tech
πŸ€– AI & Software Engineer | Machine Learning | Computer Vision | Backend Systems


🧭 About Me

I'm focused on building AI-powered systems that solve real-world problems.

I specialize in combining machine learning + software engineering to create applications in:

  • Computer vision (real-time detection systems)
  • AI-driven automation tools
  • Scalable backend systems for data and analytics

πŸ’Ό Former Software Engineer β€” FedScale Inc


πŸš€ What I’m working on

πŸ›Έ Real-time Drone Detection System
Building an AI system that can detect and track aerial objects in real time for live monitoring use cases.

🧠 AI Language Reasoning Research
Exploring how large AI models understand and reason about low-resource languages.

πŸ₯ Medical Image AI System
Developing AI models that help classify medical images to support diagnostic workflows.


πŸ› οΈ What I work with

  • Artificial Intelligence & Machine Learning
  • Computer Vision (real-time detection systems)
  • Python-based backend development
  • Cloud platforms (AWS, Azure)
  • APIs, automation, and data systems

πŸ“« Contact Me

πŸ“§ karthikrish2002@outlook.com
πŸ”— linkedin.com/in/kkrishn-tech

Pinned Loading

  1. drone-detection-tracking-system drone-detection-tracking-system Public

    Real-time AI system for detecting and tracking aerial objects using computer vision, edge AI acceleration, and live camera control for autonomous monitoring.

    Python

  2. low-resource-language-reasoning low-resource-language-reasoning Public

    Evaluation framework for measuring LLM reasoning and translation performance across low-resource languages using glossary-guided prompting and semantic similarity metrics.

    Python

  3. semi-supervised-medical-imaging-classifier semi-supervised-medical-imaging-classifier Public

    Chest X-ray classification system that shows how using unlabeled medical images alongside labeled data can improve diagnostic accuracy for COVID-19 and pneumonia detection.

    Python