Software Engineer focused on building production systems that automate workflows and reduce infrastructure costs.
- Backend (Python -> FastAPI/Django/Flask, JavaSript -> NodeJS, LangChain, multi-agent AI workflows)
- Design data pipelines and data migration (AWS Step Functions, ETL, RDS, Snowflake, PostgreSQL)
- Optimize infrastructure (reduced cloud spend by 6 figures @ Blackstone, automated deployments using terraform)
- Built multi-agent AI APIs on unstructured data, enabling automated reporting, note-taking, and queryable insights for internal consultants
- Designed data migration pipeline from Snowflake → RDS using AWS Lambda + Step Functions with cursor-based pagination and dependency-aware ordering
- Reduced infrastructure costs by decommissioning warehouse systems and optimizing compute usage
- Optimized PostgreSQL queries (connection pooling, indexing), eliminating 504 timeouts and reducing storage costs by 30%
- Built Terraform-managed disaster recovery system using cross-region AWS Backup replication (RTO/RPO defined, no always-on standby cost)
- Standardized CI/CD pipelines across teams using GitLab runners + Terraform provisioning
Offline-first AI system using local LLMs, vector embeddings, and distributed content pipelines
→ Built full system: auth, content distribution, AI tutors, embeddings pipeline
TechStack : Linux, Shell Scripting, Python, Go, React, Pyside6, Electron, SQL
LangChain-based multi-agent system orchestrated with AWS (Lambda, Step Functions, SQS)
→ Automated marketing workflows for real businesses