Sriamsh Reddy Enugu
Software Engineer building production web systems with a strong ML/NLP secondary lane.
I work across full-stack product delivery, backend systems, cloud infrastructure, and applied ML workflows, with recent experience in RBAC, authentication, observability, and cross-stack debugging.
About Me
Grounded engineering across product delivery, backend clarity, and applied ML workflows.
My strongest work sits where frontend delivery, backend reliability, and cloud-backed systems need to line up cleanly. I like building features that hold up under real usage, especially when authentication, authorization, and operational visibility matter.
Alongside software engineering, I have a real ML/NLP lane built around Python workflows, transformer-based analysis, entity extraction, TF-IDF, and CLI-driven experimentation. I treat that work as applied systems work, not disconnected research.
Experience
Experience
Contributing to production features in a 100k+ LOC MERN codebase serving 125k+ users, with emphasis on authorization, observability, and cross-stack debugging.
- Developed production features in a large MERN app with backward-compatibility constraints.
- Designed and implemented RBAC across backend services; prevented unauthorized access paths.
- Traced auth failures across React → Node.js → DB to eliminate intermittent login issues.
Worked in Python-based analysis workflows focused on EDA, experiment evaluation, and reporting clarity across model results.
- Performed EDA in Python (Pandas/Matplotlib) to uncover data quality issues.
- Evaluated classification models with accuracy/precision/recall tradeoffs and documented findings.
- Automated experimentation and reporting workflows using Jupyter and GitHub.
Skills
Skills
Education
Contact Me
Open to software engineering roles and thoughtful conversations.
I'm especially interested in teams working on product engineering, backend systems, cloud infrastructure, and applied ML features that need careful implementation rather than inflated claims.