Shivashankar Chandrashekaraiah Email & Phone Number

California, United States

Dallas, Texas, United States

1) Spearheading the development of intelligent LLM-powered agents for SMS marketing campaigns, integrating Twilio for communication, Celery for background task processing, Redis for real-time data management, and MySQL for efficient data storage. Leveraging Python, FastAPI, Node.js, and Llama Index to build scalable and high-performance systems.2) Enhanced.

Dallas, Texas, United States

• Designed and implemented backend architecture using WebSockets, NodeJS, Redis, and ExpressJS to manage real-time audio streams from Twilio, facilitating conversations with a language model (GPT-4) with latency under a.
• Collaborated in designing MySQL databases and cache system to support the application, ensuringefficient handling of 1000 inbound and outbound calls daily.
• Utilized Docker to manage multiple NodeJS, FastAPI, MySQL, Redis, RabbitMQ microservices forstreamlining the deployment to stage and production servers.
• Engineered a robust queuing system utilizing Celery, RabbitMQ, and Redis to oversee outbound call campaigns for 1000 contacts. This system managed Twilio’s rate limit, retried calls in case of failure due to the rate.
• Developed background tasks for CRM report generation (e.g., Salesforce) by processing audio transcriptions from user-bot conversations, enhancing CRM data utility.

Dallas, Texas, United States

Hyderabad, Telangana, India

Demonstrated leadership by outlining the roadmap for developing new features, conducting code reviews, offering guidance to junior engineers, and actively contributing to the product.Prompt engineered the GPT-3.5-Turbo LLM to generate summaries of text data, enhancing the creation of short videos. Led a team in the creation of features such as "Video Smart.

Hyderabad, Telangana, India

Spearheaded the development of an AI camera filter named "Motion Tracking". This feature enables users to create videos where the camera frame dynamically follows their facial movements. This feature was built on Android, it made use of Camera2, Mediapipe, Exoplayer, Android Mediacodec, OpenGL, Kotlin, Kotlin Co-routines and Android custom views. Commended.

o Implemented and maintained the supporting Android infrastructure for a product called Fovea Stream which runs super resolution algorithms on Digital signal processors (DSP) of Qualcomm mobile processors on videos in real time. Trained and fine-tuned a video super resolution model called ESRGAN to run in real time on mobile devices.o Reduced the AWS costs.

Bengaluru Area, India

Master Of Science - Ms, Computer Science, 3.88

Fall 2023 - 1. Design and analysis of Algorithms 2. Machine Learning 3. Network Security Spring 2024 - 1. Compiler Construction 2. Natural.

Bachelor Of Engineering - Be, Computer Science, 9.02