JACOB ALOYSIOUS · SINGAPORE
Software Engineering Manager at Meta, with 20 years across enterprise platforms, developer tools, and semiconductor software.
I build durable engineering systems and develop people and teams through clear ownership, pragmatic architecture, and reliable execution. My recent work includes rebuilding an enterprise mobile product and introducing AI-enabled experiences.
Meta · KLA · Atmel · Mindtree
Technical & people leader · Software architecture
Connect on LinkedIn ↗
Product delivery, people development, and influence across teams.
CSAT 58% → 71%
Led a ground-up rebuild of an internal mobile product supporting 70+ applications through partnerships with 20+ teams. Improved successful sessions from 96% to 99.5%, while delivering with half the previous team size.
Cross-team product and technical leadership
Growing teams
Coached and mentored engineers, helping them grow their careers, including entry-level-to-Staff progression. Built a high-trust team and developed leaders who took greater technical ownership.
People development and team leadership
3 global regions
Led a Reliability Summit across EMEA, APAC, and NORAM, advancing practices within a VP-level organization of 800+ engineers.
Cross-region organizational influence
Product experience, hands-on evaluation, and governed engineering workflows.
ENTERPRISE PRODUCT WORK
At Meta, introduced an AI-enabled voice assistant for hands-free communication and podcast-style daily briefings within an internal mobile product.
HANDS-ON LEARNING PROJECT
Built a fictional support-agent demo with Codex, server-enforced policy, human review, and layered evaluations. Traced failures across the application, tools, and model to guide targeted improvements.
Read the evaluation walkthrough →
Try the learning demo ↗ · Source code ↗
Fictional data; a learning project, not a production support service.
CONFERENCE DEMONSTRATION
Designed a field-issue workflow for my KLA talk: preserve evidence, share only approved context, and review proposed fixes. Only verified learning becomes reusable team knowledge.
Explore the workflow and talk →
A simulated scenario tailored to semiconductor engineering, not a deployed KLA system.
Lead engineering for an enterprise application platform, combining people management with hands-on technical leadership. Shape product strategy, guide architecture, and drive execution across partner teams.
Rebuilt an internal mobile application using React Native, Expo, Relay, and GraphQL. Introduced an AI-enabled voice assistant for hands-free communication and podcast-style daily briefings.
Develop engineers and leaders, deliver complex platform changes, and advance reliability practices across regions.
Led agile engineering teams delivering production software for eBeam inspection and review systems, in collaboration with US-based engineering groups.
Owned feature definition, architecture, and delivery. Introduced continuous integration and test-driven development across the division, and developed engineers through coaching and design and code reviews.
KLA · NEOTERIX 2026
A talk on preserving engineering context, governing AI memory, and applying AI to a customer-specific field-issue workflow.
Presented at a conference attended by 800–1,000 engineers. The 75-minute talk was followed by more than 30 minutes of enthusiastic Q&A.
How I think about leadership, engineering, and applied AI.
AI EVALUATION
From written policy to a deployed learning demo: baselines, grader failures, and evidence-based improvements.
TECHNICAL DEPTH
Following a request through application logs, agent traces, and tool execution to find the layer that owns a failure.
LEADERSHIP
Creating context, collaborating early, and making room for feedback in leadership decisions.
I enjoy reading, photography, badminton, cycling, and swimming. Curiosity and the habit of learning carry across my work and life.