Yatharth Kapadia

Yatharth Kapadia Email and Phone Number

Founding Engineer @ Moss (YC F25)
Santa Clara, CA, US
Yatharth Kapadia's Location
Santa Clara, California, United States, United States
About Yatharth Kapadia

At Indiana University, our work in the Kelley School of Business is at the forefront of evaluating large language models for cybersecurity. Our team's dedication to developing reliable technologies is reflected in our project to minimize hallucinations in LLMs, ensuring their dependability. With a Master's in Computer Science underway, my academic endeavors complement my practical experiences.Previously at IDeaS Revenue Solutions, our efforts to overhaul the IBank platform with a Python-based tool significantly cut computation times. This role allowed me to cultivate my proficiency in WebAssembly and AWS, as well as my commitment to automating and streamlining processes, which collectively saved hundreds of hours and bolstered data analytics for global clients. These experiences underscore my focus on innovation and efficiency in the tech landscape.

Yatharth Kapadia's Current Company Details
Moss (YC F25)

Moss (Yc F25)

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Founding Engineer
Santa Clara, CA, US
Employees:
147
Yatharth Kapadia Work Experience Details
  • Moss (Yc F25)
    Founding Engineer
    Moss (Yc F25)
    Santa Clara, Ca, Us
  • Indiana University Luddy School Of Informatics, Computing, And Engineering
    Graduate Teaching Assistant
    Indiana University Luddy School Of Informatics, Computing, And Engineering Aug 2024 - Present
    Bloomington, Indiana, United States
  • Indiana University - Kelley School Of Business
    Graduate Research Assistant
    Indiana University - Kelley School Of Business Mar 2024 - Present
    Bloomington, Indiana, United States
    •Evaluating and studying the behavior of large language models (LLMs).•Conducting tests on various LLMs available through Hugging Face to identify cybersecurity vulnerabilities.•Developing methods to reduce hallucinations and enhance the reliability of LLMs.
  • Outspeed
    Machine Learning Intern
    Outspeed Jun 2024 - Oct 2024
    San Francisco, California, United States
    Contributed to the development of an in-house fine-tuned LLM using Llama 3.1, reducing reliance on the ChatGPT API.Produced and deployed streaming APIs for STT (speech-to-text) and TTS (text-to-speech) modules using Whisper and WebSocket on an EC2 instance.Successfully optimized the entire speech-to-speech pipeline to operate with a latency of under 800ms, enhancing real-time processing capabilities.
  • Ideas Revenue Solutions
    Software Developer Intern
    Ideas Revenue Solutions Jul 2022 - Jan 2023
    Pune, Maharashtra, India
    •Revamped the IBank platform with a Python-based multithreaded visualization tool, cutting computation times by up to 10%.•Streamlined data analytics for global hotel companies by computing 10 complex graphs, enhancing efficiency and clarity in data interpretation.•Automated repetitive tasks such as Excel charting and macros, saving over 500 hours of manual work and significantly improving productivity.•Galvanized a solid data validation system with PowerBI, salesforce and Python, running 8 essential tests to guarantee training-purpose data quality and applicability. Once verified the system produced detailed report on its own and sent it to the officers.
  • Quidich Innovation Labs
    Software Developer Intern
    Quidich Innovation Labs May 2022 - Jun 2022
    Mumbai, Maharashtra, India
    •Spearheaded development of an innovative algorithm, designed to forecast precise time stamp at which a cricketer would throw the ball during an over. By integrating rule-based parameters and player-coordinate data, algorithm attained an impressive accuracy rate of 95%.•Reimagined an object tracking system in the Yolo model, assigning unique IDs and retaining memory for each detected object. The upgrade improved operators’ situational awareness by 90%.
  • Azodha
    Software Developer Intern
    Azodha Sep 2021 - Apr 2022
    United States
    •Pioneered Open-Notif an application serving as a comprehensive user-company connection solution which could be accessed in form of Command-line interface. The application leveraged Pub/Sub, AWS Chalice, MongoDB and external APIs, with swift processing of 3 seconds timeframe.•Redefined NLP framework for the Ringisho app, deploying models such as profanity detection with a 95 percent accuracy rate and phrase recommendation, all hosted as FastAPI endpoints on GCP Compute Engine.•Catalyzed an advanced web-based KYC platform utilizing WebAssembly, TensorflowJS and OpenCV. User identity verification was done with Top3 accuracy of 90%, by processing data on client-side, enhancing security and efficiency.

Yatharth Kapadia Skills

Python Data Structures Tensorflow Machine Learning Algorithms Deep Learning Ethical Hacking C++

Yatharth Kapadia Education Details

Frequently Asked Questions about Yatharth Kapadia

What company does Yatharth Kapadia work for?

Yatharth Kapadia works for Moss (Yc F25)

What is Yatharth Kapadia's role at the current company?

Yatharth Kapadia's current role is Founding Engineer.

What schools did Yatharth Kapadia attend?

Yatharth Kapadia attended Indiana University Bloomington, Engineering@mitwpu, Arihant Public School Kota.

What skills is Yatharth Kapadia known for?

Yatharth Kapadia has skills like Python, Data Structures, Tensorflow, Machine Learning, Algorithms, Deep Learning, Ethical Hacking, C++.

Not the Yatharth Kapadia you were looking for?

  • YATHARTH KAPADIA

    Studying Msc In Manufacturing Technology At Tu Dortmund||Mechanical Intern At Motion Automotive ||Summer Intern At Ceat Tyres ||Treasurer | Powertrain - Team Phoenix Racing || Placement Coordinator || Me Nit, Surat
    Dortmund
  • YATHARTH KAPADIA

    Student At Sardar Vallabhbhai National Institute Of Technology, Surat
    Vadodara

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