Varun Biyyala

Experience

• 

  Safran

  Jun 2013 - Dec 2013

  Embedded Software Developer

  Worked on Silvercrest (Aircraft Engine) project. Involved in Electronic model designs using MATLAB, Simulink.

• 

  Kubex India

  Feb 2014 - Mar 2019

  • Developed and maintained a web application, designed web pages in Responsive Designing for all devices.• Integrating the backend Restful API’s with frontend by communicating with DB.• Implemented the Lazy Loading instead of the eager loading of the modules to decrease the initial payload of the application in the browser. • Created new components, services and modules based on the tasks assigned.• Consuming the REST APIs using HttpClient to fetch the data and use it in application.• Added the security auth guards to restrict the user interaction based on his authorization and authentication details.• Developed dynamic web pages using HTML/HTML5, CSS/CSS3, React, Bootstrap and SASS.• Implemented the unit test cases to add tests for components and services.

  • Senior Software Engineer

    May 2017 - Mar 2019

  • Software Engineer

    Feb 2014 - Apr 2017
• 

  GharPe.in

  Jan 2019 - Jan 2022

  Chief Executive Officer

  • Co-founded and served as CEO, achieving 30x growth and raising the company’s valuation to $200K in 2 years, while securing a seed investment within 6 months of incorporation.• Implemented Data Analytics and Machine Learning to personalize recommendations, optimize marketing and pricing strategies, and led customer segmentation efforts to enhance understanding of customer behavior and market trends.

• 

  Basura

  Jun 2024 - Aug 2024

  ML|AI Intern

  • Led a team to build an end-to-end web application involving frontend and backend development, along with the integration of an AI prediction model and a fully autonomous chatbot. • Developed a production-ready, fully autonomous agentic chatbot to serve both clients and employees using LLMs, LangChain, RAG agents and LangServe.

• 

  Yeshiva University

  Sept 2024 - now

  • Collaborating with a NASA-affiliated mathematician to enhance LPPLS model calibration and stability for detecting financial bubbles by addressing logarithmic singularity through deep learning techniques.• Applying new neural network approaches for consistent parameter estimation to forecast temporal critical points in financial systems. • Designed pre-calculus course with creative assignments and real-world applications to enhance student understanding..• Illustrated complex calculus concepts through practical examples, connecting theory to real-world scenarios. • Developing and implementing tooling and libraries for model probing, intervention, and retraining in deep learning and transformer networks, focusing on scalable dynamic learning with JAX, Dynamax, and Penzai.• Applying the methodology to practical use cases across NLP, Vision, and Robotics, building upon mechanistic interpretability frameworks to enhance dynamic deep learning interventions. Teaching Graduate students on core statistics concepts, including probability theory, linear algebra and its applications in business, while enhancing their understanding of complex statistical methods through practical examples and problem-solving to improve their quantitative analysis skills.

  • Research Collaborator

    Sept 2024 - now

  • Adjunct Faculty

    Jan 2025 - now

  • Research Assistant

    Sept 2024 - now

  • Graduate Teaching Assistant

    Sept 2024 - Jan 2025
• 

  KT2i

  Jan 2025 - now

  ML|AI Intern