Hemant Sudarshan
Community@hemantsudarshan · Bangalore
Looking for a dynamic startup founder who needs a reliable person to grow your startup with AI Operations and business goals and brings in ambitions to grow.
Agent Skills by Hemant Sudarshan
Showing 46 vetted skills indexed across 1 GitHub repositories.
fastapi-pro
Design and implement async FastAPI services with Pydantic v2 validation.
ai-integration
Expose trained ML models as production APIs with OpenAPI specs and containerization plans.
python-pro
Guide Python 3.12+ development with uv, ruff, mypy, and pytest.
async-python-patterns
Teach asyncio patterns for scalable, non-blocking Python applications.
python-patterns
Guide Python framework selection, async versus sync choices, and typing strategies.
observability-engineer
Define production observability signals, instrumentation, dashboards, and alerting for microservices.
deployment-procedures
Plan deployment rollouts and rollback procedures across production environments.
docker-expert
Optimize Dockerfiles with multi-stage builds and minimal base images.
database-design
Design relational schemas and select ORMs with migration and indexing strategies.
embedding-strategies
Compare and optimize embedding models for AI-driven search and retrieval.
postgres-best-practices
Apply PostgreSQL optimization rules to tune queries, indexes, and configurations.
data-engineer
Design scalable data pipelines for batch and streaming workloads.
vector-database-engineer
Design and optimize vector databases for semantic search and RAG applications.
data-pipeline
Automate data preparation, evaluation, and load testing workflows for AI systems.
auth-implementation-patterns
Implement JWT, OAuth2, RBAC, and session-based authentication for web and API backends.
backend-security-coder
Hardens backend applications against common vulnerabilities through input validation and secure coding.
security-auditor
Audit software security posture across code, pipelines, and deployments.
api-security-best-practices
Apply security patterns for authentication, authorization, and data protection to APIs.
documentation
Generate and maintain AI system documentation with templated workflows.
doc-coauthoring
Guide teams through a three-stage workflow for co-authoring technical documentation.
langfuse
Instrument LLM calls for tracing and observability in Python or TypeScript pipelines.
langgraph
Automate stateful graph-based AI agent workflows with LangGraph.
rag-implementation
Implement production RAG pipelines from document ingestion to generation.
prompt-engineering
Design structured prompts for LLMs with templates and testing workflows.