Hi, I'm Sasidhar Reddy.
Senior Python engineer specializing in platform engineering, build systems, and LLM tooling. 9+ years shipping production Python at scale.
About
I'm a senior Python engineer with 9+ years of production experience across microservices, data engineering, ML pipelines, and platform engineering. Currently at Capital One, I own Python ecosystem standards — version lifecycle, dependency governance, shared libraries, and containerized build systems for large multi-team organizations.
My favorite work sits at the intersection of platform reliability and developer enablement: build pipelines that are fast and reproducible, shared libraries that don't break consumers, and Python standards that let AI/ML teams move quickly without sacrificing security or maintainability. Lately I've been building RAG prototypes and LLM-powered tooling for internal developer workflows.
Experience
- Led Python version upgrade program across 15+ microservices, migrating Python 3.8 → 3.11 with EOL compliance policy and Poetry/pip-compile standards.
- Designed and maintained shared internal Python libraries (auth, logging, config, retry) consumed by 20+ services; owned API design, semantic versioning, and backwards-compatibility guarantees.
- Architected an LLM-powered policy suggestion engine for RBAC/ABAC access configs, reducing manual policy authoring by ~60%.
- Built RAG-based internal knowledge assistant prototype using LangChain and FAISS to surface entitlement docs to developers.
- Standardized Docker base images and layered caching for Python services on Jenkins / GitHub Actions, cutting average pipeline build times by 35%.
- Built ETL pipelines using PySpark and Databricks; improved performance 10x through query optimization. Achieved 90% pytest coverage and led on-call rotation.
- Built Flask-Smorest REST APIs with ACID compliance, serving as a data validation and connection layer across enterprise entity models.
- Integrated an asyncio-based proxy service to parallelize API calls, improving throughput by 40% for high-concurrency data retrieval.
- Reduced CI/CD pipeline deployment time from 2 hours to 30 minutes using Jenkins, Docker, and automated testing gates. Achieved 95% unit test coverage.
- Built a Django-based self-service web application with GitHub API integration for RBAC/ABAC policy builder UI.
- Designed an LLM-assisted prompt workflow prototype to auto-classify API permission requests and suggest policy configurations.
- Served as Release Management Lead for the Entitlements platform; coordinated release trains across 5+ squads with zero-downtime deployments.
- Migrated data from MongoDB to Amazon DocumentDB with Terraform-provisioned infrastructure; mentored 4 engineers on the enterprise rollout.
- Built Python orchestration Docker images deployed on Jenkins/ECS, enabling automated vulnerability management pipelines for 180+ repositories.
- Standardized Python packaging (Poetry, pip) and authored developer enablement documentation adopted across 180+ enterprise microservices.
- Developed Flask microservices framework reducing data processing time by 20%; achieved 95% unit test coverage with fixtures and mocks.
- Built a worker management REST API with Python Django and Jira API for healthcare task allocation.
- Used Python Flask microservices to build identity microservices; achieved 90% pytest coverage. Applied Scala for NPI/PCI tokenization before PostgreSQL load.
- Built Spring Boot microservices with REST and Apache Kafka brokers; implemented Spring Batch with Spring Security.
- Developed AWS Lambda functions in Python for daily reports; used S3 events to trigger EMR Spark jobs loading to PostgreSQL and Snowflake.
- Created automated Jenkins/Terraform pipelines for EC2 Auto Scaling and Lambda packaging; migrated ExtJS front-end to Angular 8.
- Migrated Spring applications to Spring Boot microservices; led Oracle 12C DB migration across 380+ repositories.
- Designed OAuth2-based authentication and managed payment card industry (PCI) compliance for fraud detection platform.