SS Satyam Srivastava

Open to AI/ML systems, infrastructure, and research engineering opportunities

Satyam Srivastava

AI/ML Systems Engineer and Graduate Researcher

MS CS student at UC San Diego building at the intersection of machine learning systems, perception, and reliable distributed infrastructure.

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4

Research publications

FastVideo

Current research

Cohesity

Systems experience

7

Scholarships and grants

Positioning

ML systems profile with production engineering depth.

ML systems and scalable AI infrastructure

Video generation and efficient model serving

Computer vision and autonomous perception

Distributed systems and reliability engineering

Experience

Research and engineering work

Mar 2026 - Present

Hao AI Lab, UC San Diego

Graduate Student Researcher

Working on FastVideo with a focus on practical ML systems for efficient video generation research.

  • Researching systems-oriented techniques for making large-scale generative video models faster and more usable.
  • Combining ML research execution with software engineering discipline around reproducibility, iteration speed, and deployment-aware design.

2025 - Present

UC San Diego

MS Computer Science Student

Graduate coursework and research spanning machine learning, computer vision, systems, and cognition-inspired AI.

  • Positioning coursework and research toward ML systems, scalable AI, and reliable model deployment.

Prior experience

Cohesity

Member of Technical Staff

Built backend and distributed infrastructure for resilient data protection systems.

  • Implemented REST APIs and scalable infrastructure components in production engineering workflows.
  • Improved reliability and maintainability through cross-functional systems work, CI/CD integration, and backup-adapter development.

Selected Work

Projects for AI, perception, and systems roles

Hao AI Lab, UC San Diego

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FastVideo

A unified post-training and real-time inference framework for accelerated video generation.

ML systems video generation research

Agentic AI, UC San Diego

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Urban Seismic Resilience

Built a seismic disaster simulation testbed for heterogeneous rescue agents, showing hierarchical coordination can improve civilian survival by up to 7.6x over decentralized policies.

multi-agent systems agentic AI simulation

Convex Optimization, UC San Diego

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Convex Resource Allocation for Efficient LLM Inference

Formulated LLM batch scheduling as a convex optimization problem, deriving KKT-based resource pricing signals and validating a convex-guided scheduler with about 6% higher throughput in constrained regimes.

LLM inference convex optimization scheduling

UC San Diego

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C-Shenron

Realistic radar simulation framework for CARLA, supporting autonomous driving research and multimodal perception.

simulation autonomous driving radar

Texas State University

Cognitive-Inspired RL with Episodic Memory

Enhanced Deep Q-Networks with working memory and episodic replay to improve learning efficiency and stability.

reinforcement learning episodic memory DQN

TU Braunschweig

Capacitive ECG Reliability

Developed deep learning methods to estimate cECG signal reliability using video-based pose information.

medical AI computer vision signal reliability

Cohesity

Distributed Backup Infrastructure

Built scalable backend components and a backup adapter with production reliability and maintainability in mind.

distributed systems APIs CI/CD

Publications

Research credibility across ML, perception, and medical AI.

C-Shenron: A Realistic Radar Simulation Framework for CARLA

VTC 2025

Publication link

CEMDQN: Cognitive-inspired Episodic Memory in DQNs

IJCNN 2023

Publication link

Reliability Estimation of Armchair-Based Capacitive ECG

SPIE Medical Imaging 2023

Publication link

Recognition

Awards, scholarships, and mentoring

Khorana Scholarship DAAD-WISE Scholarship Mitacs Globalink Research Internship Award BITSAA Udaan Scholarship IEEE CIS Travel Grant BITS Pilani Best Paper Award BITS Merit-cum-Need Scholarship

BITS2Research Alumni Mentorship Program

Mentoring undergraduate students on research exploration, project development, and career pathways.

Undergraduate Teaching Assistant

Supported courses in Object Oriented Programming, Discrete Structures, and Computer Programming at BITS Pilani.

Contact

Recruiters and collaborators can reach me directly.

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