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║                                                              ║
║                    B H A G Y A   R A N A                     ║
║        Software Engineer · System Designer · Builder         ║
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$ whoami

I'm a Software Engineer at Wells Fargo who cares deeply about system design, developer experience, and shipping things that matter. My superpower is translating complex financial infrastructure into clean, scalable frontends — and then going home to build AI products from scratch.

I write about distributed systems and big tech architecture on my blog — topics like how Uber handles 40M req/s with caching, how Google Docs resolves concurrent edits, and why your database is not a message queue.

• 🏦 Day job: Frontend architecture on the Policy Governance Platform — 1000+ production PRs, projected $11M+ annual savings
• 🛠 Building: FUMONEY — AI financial planning for Indian salaried professionals
• ✍️ Writing: System design deep dives — Uber caching, Netflix streaming, distributed databases, and more
• 🎓 NIT Surat · B.Tech CS · CGPA 9.52 · Silver Medalist · Dept. Rank 2
• 🏆 AMDOCS HackFest 2022 — All India Rank 2 out of 11,000+ participants
• ♟ Chess & Basketball — State-level athlete

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$ cat stats.json

🚀 Production PRs	💰 Business Impact	🎓 CGPA	🏆 Hackathon Rank
1000+	$11M+	9.52 / 10	AIR 2

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$ git log --projects

💰 FUMONEY AI-powered financial planning for India Built for Indian salaried professionals who have no idea if they're on track for retirement. FUMONEY turns messy financial inputs into a personalized Financial Fitness Score, retirement corpus projections, and real-time what-if simulations. Hard engineering problems solved: Designed a goal-based planning engine that models compound growth, inflation-adjusted returns, and multiple simultaneous financial goals without state explosion Built real-time simulation system with debounced recalculation to stay responsive under rapid user input Auth + RLS via Supabase to ensure zero cross-user data leakage at the DB level Next.js 14 TypeScript Supabase PostgreSQL Redis OpenAI API

🤖 AI Cohort Build production-ready AI agent systems An open-source learning platform teaching developers to build stateful, scalable AI agents — not toy demos. Covers LangChain, RAG pipelines, LangGraph orchestration, and Model Context Protocol with real deployment patterns. Hard engineering problems solved: Architected a multi-agent orchestration layer using LangGraph where agents hand off tasks with typed state — no spaghetti tool-calling chains Implemented hybrid retrieval (semantic + BM25 keyword) for RAG to handle both conceptual and exact-match queries without two separate pipelines Designed MCP server integration patterns that work across local and cloud-hosted agent deployments LangChain LangGraph RAG MCP Vector DBs React

🚀 BuildSpace Ship real products over a weekend A marketplace where startups post bounty projects and builders collaborate in-person to ship working products in 2–3 days. Handles project listings, builder profiles, team formation, and bounty payouts. Hard engineering problems solved: Built optimistic UI updates with server-state sync so builders see changes instantly without stale cache issues during fast-paced weekend sprints Designed a matching algorithm that pairs builder skill profiles to project requirements without requiring explicit skill tagging by either party Next.js 14 TypeScript React Tailwind CSS PostgreSQL

🏦 Policy Governance Platform Enterprise banking @ Wells Fargo Frontend architecture for the system managing 10,000+ banking policies across Wells Fargo's core workflows — used daily by compliance, legal, and operations teams. Hard engineering problems solved: Led migration of critical policy rendering pipeline from legacy AngularJS patterns to a component architecture that cut load time significantly and eliminated an entire class of rendering bugs Built a shared state management layer that synchronizes policy lifecycle state across 6+ concurrent user roles without race conditions Drove 1000+ production contributions — features, defect fixes, performance optimizations — with zero P0 incidents AngularJS Spring Boot SQL CI/CD Agile

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$ cat blog/latest.md

I write in-depth system design breakdowns — the kind that actually explain how things work, not just that they work.

📝 Why Your Database Is Not a Message Queue The antipattern that silently kills production systems at scale — and what to use instead. 5 min · Feb 2026 📝 Uber's Caching Strategy: 40M Requests Per Second The integrated caching layer behind Uber's scale — and the patterns worth stealing. 7 min · Feb 2026 📝 Monolith to Microservices: The Parts Nobody Warns You About Distributed transactions, data consistency nightmares, and why Uber went back. 7 min · Feb 2026 📝 How Netflix Streams to 230M Users Without Buffering Shot-based encoding, multi-region failover, and why their architecture is brilliant. 7 min · Feb 2026

📝 Google Docs Real-Time Collaboration: The Algorithm Operational Transformation — how 50 people edit one doc simultaneously without conflicts. 7 min · Feb 2026 📝 Distributed Databases Demystified: Cassandra, DynamoDB, BigTable LSM trees, consistent hashing, gossip protocols — stop treating NoSQL as a black box. 8 min · Feb 2026 📝 Back-of-Envelope Calculations: The Senior Engineer Superpower The skill that separates senior engineers — estimate system capacity in 5 minutes. 7 min · Feb 2026 📝 Consistent Hashing: The Algorithm Powering Half the Internet From DynamoDB to Discord — how one algorithm decides where your data lives. 9 min · Jan 2026

→ Read all articles on bhagyarana.in/blog

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$ ls tech-stack/

Languages

Frontend

Backend & Databases

AI / Agents

Cloud & DevOps

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$ cat achievements.log

[2022] AMDOCS HackFest          → All India Rank 2   |  11,000+ participants
                                   Built [describe what you built here] in 24 hours
[2023] NIT Surat Graduation     → Silver Medalist    |  CGPA 9.52  |  Dept. Rank 2
[2021] Google Kick Start        → Round C: 888th globally  |  Round G: 654th globally
[2021] JPMorgan Code for Good   → Finalist (Top 8%)
                                   Built [describe the project here] for [NGO/org name]
[2021] Upraised Embark Fellow   → Top 2% of 4,55,534 candidates
[2019] Dhirubhai Ambani Scholar → Merit-based scholarship, NIT Surat

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$ cat currently_thinking.md

Things occupying my engineering brain right now:

• Agent reliability — Most LLM agent failures aren't model failures, they're orchestration failures. I'm exploring how LangGraph's stateful checkpointing changes the failure recovery story for long-running agents.
• Financial data modeling — Building FUMONEY taught me how hard it is to model Indian financial products (NPS, ELSS, HRA) in a way that's both actuarially correct and explainable to a 26-year-old.
• Read path optimization — After writing about Cassandra's LSM trees, I've been thinking hard about read amplification tradeoffs in systems where reads vastly outnumber writes.

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$ neofetch --competitive-programming

   

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$ tail -f activity.log

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Minimal. Scalable. Production-Ready.