Open to opportunities

Ankit Chotaliya

@ankitchotaliya

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Aspiring software engineer with expertise in AI and web technologies.

India

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What I'm looking for

I am looking for a challenging role in a dynamic environment that fosters innovation and growth, where I can contribute my skills in software development and AI technologies.

I am a dedicated Software Development Engineer with a Bachelor’s degree in Information Technology from Vishwakarma Government Engineering College, where I graduated in 2023. My journey in software development has been marked by a strong focus on building innovative solutions, particularly in AI and media technologies. I have successfully developed an AI Voice Product that integrates self-hosted LLMs, optimizing latency and enhancing user experience.

During my internship at IBM India Software Labs, I automated reporting for over 1,173 repositories, significantly improving efficiency through CI/CD integration. My technical skills span across various programming languages including Python, Java, and JavaScript, and I have hands-on experience with cloud technologies such as AWS and Azure. I thrive in dynamic environments and am passionate about leveraging technology to solve real-world problems.

Experience

Work history, roles, and key accomplishments

Current

SDE - Software Development Engineer

Current

VideoSDK

Aug 2023 - Present (1 year 11 months)

Developed an AI Voice Product with integrated self-hosted LLMs, optimized for latency, interruption, and context switching of voice assistants. Designed and implemented a robust system for managing cloud recordings, interactive live streams, and HTTP live streams, reducing cloud costs by 20%.

Python NodeJS Nats.io Redis LLMs)VectorDB Embeddings Kubernetes Docker GStreamer FFMPEG AWS Azure GCP

SDE - Intern

IBM - India Software Labs

Jul 2022 - Jul 2023 (1 year)

Developed and automated reports for 1,173 IBM Security repositories using Python, integrating with hourly CI/CD for automation and ensuring timely updates. Built a microservice that communicates with Elasticsearch, seamlessly integrating with Grafana via a JSON plugin to enhance visualization and monitoring of logs and metrics.