Student Profile

Student Profile Showcasing academic journey and achievements The information and content presented on student profiles are for showcasing purposes only and do not necessarily reflect the official views or positions of IIIT Kota. Image copyright may belong to respective owners TARSH SWARNKAR Building... Kota, Rajasthan 7425034475 [email protected] About Winner@Amdocs GenAI Hackathon | Placement Coordinator IIIT Kota | Former DRDO Research Intern | Amazon MLSS'24 | GSC'24 Regionalist | Next JS | C++ Projects AI Career Hub AI Career Hub is an AI-powered career guidance platform offering video proctoring, resume analysis, and personalized career counseling. Built with Next.js and FastAPI, it provides intelligent insights to help users make informed career decisions. Live Link सहYog SahYog is a Next.js platform that allows individual users to receive financial support directly from their community. With RazorPay integration, SahYog makes it easy for supporters to donate and for creators to manage their donations Live Link Experience Placement Coordinator, IIIT Kota Coordinated with companies and students to streamline campus placements. Managed placement drives, student data. Research Intern, DRDO Worked as a Research Intern at DRDO, Defence Lab Jodhpur, where I developed a GUI using OpenCV and Tkinter to enhance visual data interaction and explored computer vision applications in defense. Achievements Amdocs GenAI Hackathon Winner Competed amongst 11.5k participants from 300+ different colleges. LinkedIn Post Amazon ML Summer School'24 Selected for Amazon ML Summer School 2024, among the top 3,000 students from over 90,000 applicants across India. Gained in-depth exposure to machine learning fundamentals, deep learning, and practical applications through sessions led by Amazon scientists. Skills C C++ Python JavaScript SQL VS Code Jupyter Notebook Anaconda Kaggle Postman Google Cloud Platform Replit Canva GitHub Next.js React.js Node.js Express.js MongoDB Tailwind CSS Interests Web Development Product Management Problem Solving Badminton Exploring AI Design Thinking Volunteering Traveling

  • Student Profile
  • TARSH SWARNKAR
  • About
  • Projects
  • AI Career Hub
  • सहYog
  • Experience
  • Placement Coordinator, IIIT Kota
  • Research Intern, DRDO
  • Achievements
  • Amdocs GenAI Hackathon Winner
  • Amazon ML Summer School'24
  • Skills
  • Interests

Student Profile Showcasing academic journey and achievements The information and content presented on student profiles are for showcasing purposes only and do not necessarily reflect the official views or positions of IIIT Kota. Image copyright may belong to respective owners TARSH SWARNKAR Building... Kota, Rajasthan 7425034475 [email protected] About Winner@Amdocs GenAI Hackathon | Placement Coordinator IIIT Kota | Former DRDO Research Intern | Amazon MLSS'24 | GSC'24 Regionalist | Next JS | C++ Projects AI Career Hub AI Career Hub is an AI-powered career guidance platform offering video proctoring, resume analysis, and personalized career counseling. Built with Next.js and FastAPI, it provides intelligent insights to help users make informed career decisions. Live Link सहYog SahYog is a Next.js platform that allows individual users to receive financial support directly from their community. With RazorPay integration, SahYog makes it easy for supporters to donate and for creators to manage their donations Live Link Experience Placement Coordinator, IIIT Kota Coordinated with companies and students to streamline campus placements. Managed placement drives, student data. Research Intern, DRDO Worked as a Research Intern at DRDO, Defence Lab Jodhpur, where I developed a GUI using OpenCV and Tkinter to enhance visual data interaction and explored computer vision applications in defense. Achievements Amdocs GenAI Hackathon Winner Competed amongst 11.5k participants from 300+ different colleges. LinkedIn Post Amazon ML Summer School'24 Selected for Amazon ML Summer School 2024, among the top 3,000 students from over 90,000 applicants across India. Gained in-depth exposure to machine learning fundamentals, deep learning, and practical applications through sessions led by Amazon scientists. Skills C C++ Python JavaScript SQL VS Code Jupyter Notebook Anaconda Kaggle Postman Google Cloud Platform Replit Canva GitHub Next.js React.js Node.js Express.js MongoDB Tailwind CSS Interests Web Development Product Management Problem Solving Badminton Exploring AI Design Thinking Volunteering Traveling