cognizant-ai-lab/neuro-san-studio
Jun 2026 – Jun 2026
1 Month active
Languages Used
Python
Technical Skills
asynchronous programmingbackend developmentevent-driven programming
Fernando Barrancos
PROFILE
Fernando Barrancos
Worked on the cognizant-ai-lab/neuro-san-studio repository to address stability issues in the Agent Network Editor on Windows. Focused on backend development using Python and asynchronous programming, the work involved enforcing the WindowsSelectorEventLoopPolicy at server entry to resolve silent stalls in in-process subnetwork streaming. This technical approach eliminated hangs during prompt streaming and restored reliable producer-consumer handoff within AsyncDirectAgentSession. End-to-end validation was performed on Windows 11 with Python 3.13, ensuring the editor consistently generated registry files for both small and large prompts. The improvements enhanced editor responsiveness and reduced downtime for multi-agent workflows in event-driven environments.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
14
Activity Months1
Your Network
50 peopleSame Organization
@cognizant.com23
GMember
PMember
TyagiMember
BhargavaMember
ESQUIVELMember
Dan FinkMember
Anandu BalachandranMember
Dastin WilskiMember
Deepak SinghMember
Work History
June 2026
1 Commits
Jun 1, 2026June 2026 — Neuro-SAN Studio (cognizant-ai-lab/neuro-san-studio) Key features delivered: - Stability improvement for Agent Network Editor Windows Event Loop by forcing WindowsSelectorEventLoopPolicy at server entry to fix silent stalls in in-process subnetwork streaming. This change prevents hangs and ensures prompt-handling consistency across sizes. Major bugs fixed: - Resolved stalls caused by the default ProactorEventLoopPolicy on Windows; restored reliable handoff between producer and consumer under AsyncDirectAgentSession; eliminated hangs during first tool calls and streaming of prompts. Overall impact and accomplishments: - End-to-end validation on Windows 11 with Python 3.13 and neuro-san 0.6.57; editor now reliably generates registries/generated/<name>.hocon for both small (one-agent) and large (15-agent) prompts. Improved editor responsiveness, reduced user-facing downtime, and increased reliability for multi-agent workflows. Technologies/skills demonstrated: - Python asyncio, Windows-specific event loop policies (WindowsSelectorEventLoopPolicy), AsyncDirectAgentSession integration, end-to-end testing, and pre-import server-entry policy initialization to ensure stable behavior across prompt sizes. Commit reference: c9c68ae0aeb91248037ce465883e9d0e2795d78d
1 Commits
Jun 1, 2026June 2026 — Neuro-SAN Studio (cognizant-ai-lab/neuro-san-studio) Key features delivered: - Stability improvement for Agent Network Editor Windows Event Loop by forcing WindowsSelectorEventLoopPolicy at server entry to fix silent stalls in in-process subnetwork streaming. This change prevents hangs and ensures prompt-handling consistency across sizes. Major bugs fixed: - Resolved stalls caused by the default ProactorEventLoopPolicy on Windows; restored reliable handoff between producer and consumer under AsyncDirectAgentSession; eliminated hangs during first tool calls and streaming of prompts. Overall impact and accomplishments: - End-to-end validation on Windows 11 with Python 3.13 and neuro-san 0.6.57; editor now reliably generates registries/generated/<name>.hocon for both small (one-agent) and large (15-agent) prompts. Improved editor responsiveness, reduced user-facing downtime, and increased reliability for multi-agent workflows. Technologies/skills demonstrated: - Python asyncio, Windows-specific event loop policies (WindowsSelectorEventLoopPolicy), AsyncDirectAgentSession integration, end-to-end testing, and pre-import server-entry policy initialization to ensure stable behavior across prompt sizes. Commit reference: c9c68ae0aeb91248037ce465883e9d0e2795d78d
June 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
asynchronous programmingbackend developmentevent-driven programming
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