/github-webiste-tirth5828

A GitHub Based Portfolio

Tirth Joshi

About Me

I'm Tirth Joshi, a passionate computer science enthusiast with a knack for machine learning and data science. From developing innovative web apps to tutoring internationally, my journey has been driven by a thirst for knowledge and a dedication to making a meaningful impact. With a blend of academic excellence, hands-on experience, and a love for problem-solving, I strive to continuously grow and contribute to the ever-evolving tech landscape.

Experience

COMPUTELIB | Machine Learning Intern (June 2023 - Present)

  • Developed an MVC web app serving as the central gateway in a microservices infrastructure.
  • Contributed to e-commerce projects involving Shopify and BigCommerce.
  • Developed a Flask-based LLM app, implementing JWT and security features.
  • Worked with Hugging Face, Open LLM, Langchain, and various vector databases.

WIINGY | International Tutor (Oct 2022 - Dec 2022, May 2023 - Present)

  • Remote tutoring.

INDIAN KNOWLEDGE SYSTEMS (IKS), AICTE | Technical Intern (Feb 2023 – March 2023)

  • Worked with Ministry of Education, Gov of INDIA on Archiving and Reviving Oral Lullabies in the Gujarati Language.
  • Improved user experience by optimizing the app’s Firebase code,resulting in a 23% decrease in data exchange with storage and a 12% decrease in average per-user session database download data.

VERSEFI | Android Developer (Nov 2022 – March 2023)

  • Contributed to the development of a commute assistance app, focusing on user-based features.
  • Proficient in Google Firestore, Java, and Python (Flask).

Projects

  1. PURRFECT-PAL: Your Trusted Companion for Pet Care, Sitting, and Adoption.
  2. AI ASSISTANT STUDYPAT: Developed a Personalized AI Assistant Study App and Web Platform.
  3. RE ID AND REALLNESS INDEX API: A facial recognition API to compare faces and determine authenticity.

Research

  • RESEARCH ASSISTANT Cognitive Machine Learning (IIIT Vadodara)
    • Involved in the development of a cognitive machine learning system.
    • Have been involved in the development and release of a cognitive machine learning system. This system encompasses a multi-module model designed for generalized classification, corset formation, and clustering tasks

Education

  • IIIT VADODARA
    • BTech in CSE (2020 - 2024)
      • Teaching Assistant (Machine Learning, Probability and Statistics, Programming and Problem solving)
      • Research Assistant (Under Dr. Jignesh Bhat)
  • IIT MADRAS
    • BS in Data Science (2021 - 2025)
      • Parallel Degree with BTech
      • Received L&T TS Scholarship for Academic Excellence

Skills

  • Programming: Python, C#, C++, R, Kotlin, SQL, JAVA, C
  • Backend: Django, REST API
  • Frameworks: Pandas, Numpy, Matplotlib, Scikit Learn, TensorFlow, LangChain
  • Database: MySQL, Realtime Database (Firebase), ChromaDB, FAISS, Qdrant, Pinecone
  • Analytics Tools: Power BI, Tableau, SPSS (IBM), Google Sheets, Excel

Cloud Certification

  • Google Cloud - Cloud Digital Leader

Achievements

  • WINNER:
    • Hack This Fall ’24 (RUNNER UP + Category)
    • SSIP AKAM Hackathon
    • Hack This Fall ’23 (Category)
  • FINALIST:
    • IEEE - CIS Summer School Hackathon
    • UHackathon 4.0
    • Sigmoid Data Science Hackathon
  • SCHOLARSHIP:
    • L&T TS Scholarship (IIT Madras)
    • AWS AI ML Scholarship