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: SMTS 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.
May 16, 2026•3 min read
Notes on Cognitive Surrender
Reading notes from Addy Osmani on the difference between using AI as a tool and letting it quietly replace your thinking. Key research findings and heuristics worth keeping.
May 9, 2026•5 min read
Why I Joined the Deep Atlas AI/ML Accelerator
I've been shipping with AI tools for a year. At some point the gap between using them and actually understanding them stopped feeling fine. This is about what I decided to do about 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.