Years in Engineering
12+
Building software, automation, and platform systems
bharad@portfolio:~
$whoami
Bharadwaj Pendyala
> |
Senior software engineer at Salesforce focused on enterprise communication systems, AI-enabled workflows, and pragmatic architecture that helps teams ship reliably.
Snapshot
- Experience: 12+ years
- Current role: LMTS at Salesforce
- Focus: Platform systems and AI workflows
- Primary stack: TypeScript, Python, AWS serverless
$open ~/quick_actions
$ls ~/social
$Ready for the next command_
$cat metrics.json
Results at a glance
Selected highlights from professional engineering work.
Years at Salesforce
5+
Growing into lead-level engineering ownership
Current Scope
Org-wide
Workflow platforms, delivery enablement, and AI adoption
Public Builds
3
Portfolio, Jarvis, and a document-aware RAG system
$ls -la ~/portfolio
Explore by section
Jump directly to projects, writing, resume, and background with faster navigation cards.
$cat ~/posts/latest.md
Latest writing
Notes on AI, engineering, and things worth figuring out.
August 10, 2026•14 min read
Build the Eval Pyramid: A Starter Harness for LLM and Agent Testing
Turn the eval pyramid into a working TypeScript harness with deterministic graders, isolated repeated trials, calibrated model judges, human review, and release gates.
August 9, 2026•10 min read
The Eval Pyramid: Testing Systems That Do Not Behave the Same Way Twice
LLM and agent systems need more than unit tests, but that does not mean every check should become an LLM judge. The eval pyramid starts with deterministic checks and adds broader judgment only where the product needs it.
$cat summary.md
Current focus and impact
Public-safe themes from platform engineering, AI workflow work, and cross-team delivery.
$cat focus-areas.md
What I build
- •Enterprise workflow and communication systems that support high-trust delivery.
- •AI-enabled internal tools that reduce manual coordination and improve usability.
- •Platform migrations that improve reliability, observability, and operational clarity.
- •Reusable engineering patterns that help teams ship faster without losing quality.
$grep -i "impact" delivery.log
How I deliver
- •Take ownership of ambiguous platform problems and turn them into shippable systems.
- •Bridge product, engineering, and stakeholder needs with practical technical decisions.
- •Lead rollout readiness through testing, incident response, documentation, and support.
- •Apply AI tooling in ways that improve real engineering velocity instead of adding noise.