Sajith .
Ex-Google & Google DeepMind | Senior Software & Systems Engineer | Distributed Systems · Cloud · Backend · AI/ML | IIT Bombay
India
6+ years of work experience
Sep 20251 yrAug 2026
United Kingdom
- Joined Google DeepMind to work on large-scale systems spanning software infrastructure, distributed computing, and AI/ML workloads.
- Build reliable services and platforms running across large compute and GPU environments.
- Work across backend systems, APIs, storage, networking, orchestration, observability, and performance engineering.
- Improved model inference throughput by ~2.3× while reducing compute cost by ~27%.
- Built infrastructure connecting research workloads with production-quality services, tooling, and deployment systems.
- Work with researchers and engineers across software, systems, infrastructure, and machine learning to take complex ideas from prototype to reliable production systems.
- Continue to work hands-on across the stack, from low-level performance and servers to distributed architecture and user-facing applications.
Aug 20241 yr 2 mosSep 2025
- Led design and delivery of large-scale systems spanning backend services, distributed architecture, cloud infrastructure, data platforms, and AI-powered features.
- Designed a multi-region service architecture that handled ~300M requests/day while maintaining 99.99% availability.
- Reduced infrastructure cost by ~30% through capacity planning, caching, workload optimization, and better resource utilization.
- Built services and internal platforms used across web, mobile, and other Google product surfaces.
- Worked across application code, APIs, databases, networking, servers, containers, observability, and deployment infrastructure.
- Partnered with ML engineers and researchers to productionize model-driven features and build reliable inference and data-processing systems.
- Led modernization of older services and helped migrate critical workloads to newer infrastructure without disrupting existing users.
- Mentored engineers and drove technical decisions across multiple teams, from system design through production operations.
Jun 20222 yrs 3 mosAug 2024
- Owned several high-scale services spanning backend, distributed systems, cloud infrastructure, data, and user-facing applications.
- Led an architecture redesign that increased throughput by ~2× and reduced infrastructure costs by ~25%.
- Built APIs and services supporting web and mobile experiences used by millions of users.
- Worked across Java, C++, Python, SQL, cloud infrastructure, containers, and large-scale storage systems.
- Helped modernize legacy services while maintaining compatibility with existing clients and minimizing production disruption.
- Built monitoring and automation that reduced deployment and incident-response time by ~50%.
- Worked with machine-learning teams to integrate model-powered features into production services, including data pipelines, inference services, and evaluation infrastructure.
- Mentored engineers and regularly led design reviews covering APIs, distributed architecture, reliability, performance, and security.
Jul 20202 yrsJun 2022
- Built and operated backend services serving millions of requests per day across Google's production infrastructure.
- Redesigned a critical service path, improving p99 latency by ~35% and increasing throughput by ~1.8×.
- Worked across distributed systems, databases, caching, networking, APIs, and Linux-based infrastructure.
- Built internal web tools and developer platforms that reduced common engineering workflows from hours to minutes.
- Improved service reliability from ~99.5% to 99.9% through better monitoring, automated recovery, and fault isolation.
- Contributed to systems used across Google Search Infrastructure (Core Ranking & Serving Platform), gaining experience with large codebases, production operations, and cross-team architecture.
- Worked with engineers across backend, frontend, infrastructure, and product teams to ship features from design through production.
May 20194 mosAug 2019
Greater Hyderabad Area
- Built backend services and internal tools used by engineering teams across Google.
- Improved a high-volume service by ~20% through caching and query optimization.
- Automated a repetitive workflow, cutting processing time from ~2 hours to under 15 minutes.
- Worked across APIs, databases, Linux servers, testing, and production debugging.
- Contributed code that was adopted into the team's production environment and received a full-time return offer.
Sajith’s AI Stack
Education
Bachelor of Technology, Computer Science
Indian Institute of Technology, Bombay
20164 yrs2020
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