Sajal
Suhane
Software Engineer at Goldman Sachs
Distributed systems, cloud-native architecture & AI-driven engineering
Tech I work with
Currently at
Goldman Sachs
Based in
Dallas, TX
Impact & Results
Measurable outcomes from production systems
Scaling AI adoption across the team
I lead AI initiatives across my team — founding and running an AI Guild modeled on Spotify's org structure so AI fluency scales beyond individual engineers into a shared, compounding capability.
AI Guild (Spotify org model)
Founded and run a cross-squad AI Guild that turns one-off AI wins into shared, reusable assets the whole team draws from.
Reusable skills & playbooks
Author reusable AI skills, cloud-migration playbooks, and prompt/workflow standards that compress weeks of engineering effort into days.
Internal AI forum
Maintain an AI forum for demos, knowledge-sharing, and adoption support — driving AI fluency across the engineering org.
Experience
Published research & project deep-dives- Dec 2024 – Present
Software Developer – Associate
CurrentGoldman Sachs · Tech Lead, 10-member team
- Led the Sybase IQ → Snowflake migration, demising the legacy on-prem stack and eliminating on-prem storage dependencies
- Architected the replacement platform: Kubernetes-backed Spring Boot microservices with event-driven ingestion, retaining all existing API contracts
- Founded and lead the team’s AI Guild (Spotify org model), shipping reusable AI skills and cloud-migration playbooks that lifted productivity ~60% and cut L-size ticket delivery from 30 to 18 days
- Directed system design, roadmap planning, and cross-organizational stakeholder alignment
KubernetesSnowflakeSpring BootContour HTTPProxy - Jun 2023 – Dec 2024
Software Developer – Analyst
Goldman Sachs · CFOSS Division
- Built a reusable Spark → AWS Glue migration framework, letting teams move on-prem workflows to the cloud with minimal changes ($230K savings per workflow)
- Co-built an AI-powered knowledge chatbot indexing nested Confluence spaces, cutting support resolution from 5 hours to 1
- Built an S3-backed computation system for Market Risk, improving workflow efficiency by 25%
AWS GlueSparkS3Python - Jun 2022 – Aug 2022
Software Developer Intern
Goldman Sachs · Controllers Division
- Engineered core components of a distributed operational store processing 3B+ events/sec for Risk & Finance
- Built a queuing-based ingestion POC with 31.7% efficiency improvement
KafkaKibanaElasticsearchJava - Nov 2021 – May 2023
Software Developer
University of Texas at Dallas · Biomedical Sensor Research
- Automated cleaning and analysis of high-frequency biomedical sensor data from wearable devices, reducing manual effort by 0.6 FTE
- Designed cross-platform apps for real-time sensor analytics (70% efficiency gain)
PythonReal-time ProcessingCross-platform
Education · M.S. Computer Science, UT Dallas · B.E. Computer Science, SPPU
Technical Expertise
Languages
Distributed Systems
Cloud & Infra
Big Data & Observability
AI & Developer Productivity
Hiring for distributed systems or platform work?
I'm a software engineer at Goldman Sachs in Dallas — happy to talk about platform, data, or infra roles.