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Advait User

@advaituser

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Machine Learning Engineer building scalable cloud-native and edge ML systems.

United States

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What I'm looking for

I seek roles building production ML systems (cloud & edge) with strong engineering practices, cross-functional collaboration, and opportunities to apply algorithm optimization and MLOps to impactful biotech or data-driven products.

I am a Machine Learning Engineer with 4+ years of experience designing and deploying production-grade systems that bridge research and real-world deployment. I specialize in cloud-native and edge ML solutions, computer vision, MLOps, and high-performance algorithm optimization, and have delivered systems that supported device inferencing and SaaS platforms contributing to significant non-dilutive funding.

My background includes research in stochastic algorithms for protein assembly, where I reduced simulation runtimes by 70%, and industry experience shipping backend services and monitoring tools at enterprise scale. I collaborate closely with cross-functional stakeholders to translate requirements into robust, reproducible, and maintainable systems.

Experience

Work history, roles, and key accomplishments

Current

Member of Technical Staff

Current

Triton Bio

Jun 2023 - Present (3 years)

Designed and deployed real-time multimodal ML pipelines for edge and cloud inferencing, productionized computer vision systems using SAM and DINO, and delivered SaaS data ingestion and visualization capabilities that contributed to $250K+ in non-dilutive funding.

Python Computer Vision Edge Kubernetes Docker AWS PyTorch CI CD

Research Assistant

Syracuse University

Oct 2022 - May 2024 (1 year 7 months)

Developed custom MCMC algorithms for large-scale protein network simulations, reducing runtime by 70%, and built vector embedding pipelines for protein topology similarity search to enable rapid clustering and analysis.

High Performance Computing Python T SNE

Teaching Assistant

Syracuse University

Aug 2023 - Dec 2023 (4 months)

Led tutorials for 150+ students on neural networks, transformers, and RAG, and assisted in student projects to improve end-to-end AI system quality and technical depth.

Teaching Neural Networks Transformers Python

Senior Software Engineer

Accenture

Jan 2021 - Aug 2022 (1 year 7 months)

Designed backend services and data models integrating 500+ heterogeneous sources to reduce discrepancies by 90%, built automated log analysis tools that cut RCA time by 15 hours/week, and delivered enterprise features using Spring Boot and PL/SQL.

Java Spring Boot Pl SQL Distributed Systems Log Analysis PostgreSQL Backend Development Monitoring

Education

Degrees, certifications, and relevant coursework

Syracuse University

Master of Science, Computer Science

2022 - 2024

Grade: 3.7/4.0

Activities and societies: Research Assistant in Nangia Research Lab developing MCMC algorithms and embedding pipelines; Teaching Assistant for Introduction to Artificial Intelligence.

Master of Science in Computer Science with a thesis on stochastic algorithms for simulating protein assembly in biological cells; GPA 3.7/4.0.