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I am Siddhant Porwal, an AI Software Engineer focused on the intersection of scalable infrastructure and intelligent systems. I bridge the gap between research and production, blending Python with C++ to build fault-tolerant backends and efficient inference pipelines. I design and deploy robust AI systems, turn research ideas into reliable software, and optimize end-to-end ML workflows with containerized microservices and distributed data processing.…I am Siddhant Porwal, an AI Software Engineer focused on the intersection of scalable infrastructure and intelligent systems. I bridge the gap between research and production, blending Python with C++ to build fault-tolerant backends and efficient inference pipelines. I design and deploy robust AI systems, turn research ideas into reliable software, and optimize end-to-end ML workflows with containerized microservices and distributed data processing.

Siddhant Porwal

AI Engineer, Data Scientist, Full Stack Developer, +4

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I am Siddhant Porwal, an AI Software Engineer focused on the intersection of scalable infrastructure and intelligent systems. I bridge the gap between research and production, blending Python with C++ to build fault-tolerant backends and efficient inference pipelines. I design and deploy robust AI systems, turn research ideas into reliable software, and optimize end-to-end ML workflows with containerized microservices and distributed data processing.…I am Siddhant Porwal, an AI Software Engineer focused on the intersection of scalable infrastructure and intelligent systems. I bridge the gap between research and production, blending Python with C++ to build fault-tolerant backends and efficient inference pipelines. I design and deploy robust AI systems, turn research ideas into reliable software, and optimize end-to-end ML workflows with containerized microservices and distributed data processing.

Available to hire

I am Siddhant Porwal, an AI Software Engineer focused on the intersection of scalable infrastructure and intelligent systems. I bridge the gap between research and production, blending Python with C++ to build fault-tolerant backends and efficient inference pipelines.

I design and deploy robust AI systems, turn research ideas into reliable software, and optimize end-to-end ML workflows with containerized microservices and distributed data processing.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Software Engineer at USC

November 1, 2024 - Present

Developed high-volume feature pipelines using Spark and transformer encoders for ranking and retrieval tasks, reducing ingestion and preprocessing latency and enabling high-throughput inference. Engineered tools for high-dimensional auditory and biological signal processing for research experiments.

Machine Learning Engineer at VIT (iTechSeed)

January 1, 2022 - July 1, 2022

Optimized BERT-family models, achieving a 45% accuracy improvement and reduced inference time. Productionized NLP pipelines and led engineering efforts for scalable deployment.