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β Software Engineer Β· System Designer Β· Builder β
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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 β and then going home to build AI products from scratch.
I write about distributed systems and big tech architecture on my blog β 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.
- π¦ Day job: Frontend architecture on the Policy Governance Platform β 1000+ production PRs, projected $11M+ annual savings
- π Building: FUMONEY β AI financial planning for Indian salaried professionals
- βοΈ Writing: System design deep dives β Uber caching, Netflix streaming, distributed databases, and more
- π NIT Surat Β· B.Tech CS Β· CGPA 9.52 Β· Silver Medalist Β· Dept. Rank 2
- π AMDOCS HackFest 2022 β All India Rank 2 out of 11,000+ participants
- β Chess & Basketball β State-level athlete
π° FUMONEYAI-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:
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π€ AI CohortBuild production-ready AI agent systems An open-source learning platform teaching developers to build stateful, scalable AI agents β not toy demos. Covers LangChain, RAG pipelines, LangGraph orchestration, and Model Context Protocol with real deployment patterns. Hard engineering problems solved:
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π BuildSpaceShip real products over a weekend A marketplace where startups post bounty projects and builders collaborate in-person to ship working products in 2β3 days. Handles project listings, builder profiles, team formation, and bounty payouts. Hard engineering problems solved:
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Enterprise banking @ Wells Fargo Frontend architecture for the system managing 10,000+ banking policies across Wells Fargo's core workflows β used daily by compliance, legal, and operations teams. Hard engineering problems solved:
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I write in-depth system design breakdowns β the kind that actually explain how things work, not just that they work.
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π Why Your Database Is Not a Message Queue
The antipattern that silently kills production systems at scale β and what to use instead.
π Uber's Caching Strategy: 40M Requests Per Second
The integrated caching layer behind Uber's scale β and the patterns worth stealing.
π Monolith to Microservices: The Parts Nobody Warns You About
Distributed transactions, data consistency nightmares, and why Uber went back.
π How Netflix Streams to 230M Users Without Buffering
Shot-based encoding, multi-region failover, and why their architecture is brilliant.
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π Google Docs Real-Time Collaboration: The Algorithm
Operational Transformation β how 50 people edit one doc simultaneously without conflicts.
π Distributed Databases Demystified: Cassandra, DynamoDB, BigTable
LSM trees, consistent hashing, gossip protocols β stop treating NoSQL as a black box.
π Back-of-Envelope Calculations: The Senior Engineer Superpower
The skill that separates senior engineers β estimate system capacity in 5 minutes.
π Consistent Hashing: The Algorithm Powering Half the Internet
From DynamoDB to Discord β how one algorithm decides where your data lives.
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[2022] AMDOCS HackFest β All India Rank 2 | 11,000+ participants
Built [describe what you built here] in 24 hours
[2023] NIT Surat Graduation β Silver Medalist | CGPA 9.52 | Dept. Rank 2
[2021] Google Kick Start β Round C: 888th globally | Round G: 654th globally
[2021] JPMorgan Code for Good β Finalist (Top 8%)
Built [describe the project here] for [NGO/org name]
[2021] Upraised Embark Fellow β Top 2% of 4,55,534 candidates
[2019] Dhirubhai Ambani Scholar β Merit-based scholarship, NIT Surat
Things occupying my engineering brain right now:
- Agent reliability β 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 β 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 β After writing about Cassandra's LSM trees, I've been thinking hard about read amplification tradeoffs in systems where reads vastly outnumber writes.


