Master's student in Computer Science at Indiana University Bloomington with a strong background in machine learning, AI, and full-stack development. Passionate about developing innovative solutions that leverage cutting-edge ML/AI technologies. Previously worked with organizations like Outspeed, DSAIL Labs, and IDeaS, focusing on ML model optimization, AI security, and data visualization.

• ML Intern at Outspeed (Jun 2024 - Sep 2024)

  • Optimized LLM fine-tuning and deployment using Llama 3.1
  • Developed real-time speech-to-text and text-to-speech services
  • Achieved sub-800ms latency for combined STT, TTS, and LLM operations

• Research Assistant at DSAIL Labs (Mar 2024 - Dec 2024)

  • Performed security assessments on AI models using OWASP Top 10
  • Identified and mitigated key AI security vulnerabilities

• Software Developer Intern at IDeaS (Jul 2022 - Jan 2023)

  • Built Python and React-based analytics platform for hotel chains
  • Developed data validation systems with Python and Salesforce

const competencies = {
  "AI/ML": ["Model Fine-tuning", "ML Ops", "Natural Language Processing", "Computer Vision"],
  "Development": ["Full Stack", "API Design", "Microservices", "Cloud Architecture"],
  "Cloud": ["AWS Cost Optimization", "Serverless", "Infrastructure as Code"],
  "Soft Skills": ["Stakeholder Management", "Client Presentation", "Cross-functional Collaboration"]
};

• 1st prize at Smart India Hackathon by Dell (30,000 Teams participated)
• 4th prize at India Academia Connect AI Hackathon by Nvidia
• 87th Rank in Amazon ML challenge (10,000 Contenders participated)
• Graduate Teaching Assistant for Elements of AI and ML in Signal Processing

• Large Language Model optimization and deployment
• Advanced AI security techniques
• Cloud-native application development

• Email: yatharth.k2@outlook.com
• Phone: +1 (930) 333-4182
• LinkedIn
• Personal Website

⭐️ From yatharthk2