惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

V
Visual Studio Blog
博客园 - 司徒正美
Hugging Face - Blog
Hugging Face - Blog
博客园 - 叶小钗
The Cloudflare Blog
D
DataBreaches.Net
J
Java Code Geeks
G
Google Developers Blog
L
LangChain Blog
N
Netflix TechBlog - Medium
Stack Overflow Blog
Stack Overflow Blog
月光博客
月光博客
酷 壳 – CoolShell
酷 壳 – CoolShell
WordPress大学
WordPress大学
小众软件
小众软件
量子位
Apple Machine Learning Research
Apple Machine Learning Research
P
Proofpoint News Feed
博客园_首页
罗磊的独立博客
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
B
Blog
腾讯CDC

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Eight Years in FinTech. Zero Tools for Myself.
Aswin Varghe · 2026-04-26 · via DEV Community
There's a particular irony in spending your career building tools that help people make better financial decisions — and not having any of those tools for yourself. That's exactly where I've been for eight years. The Comfortable Trap I'm a Lead Engineer at a global FinTech firm. My day job involves building the infrastructure that wealth management platforms run on — portfolio dashboards, brokerage integrations, API gateways, rendering pipelines under real load. The engineering problems are interesting. The domain is one I respect. I'm good at it. But here's what I noticed somewhere around year five: everything I built faced outward. Toward institutional clients. Toward scale. Toward other people's money. What I built at work What I had for myself Portfolio tracking dashboards A spreadsheet Real-time market data pipelines Manual checks when I remembered Brokerage API integrations A standard retail app Risk analysis systems Gut feel I'm a long-term investor by habit. Index funds, SIPs — the patient approach that works if you stay disciplined and resist the urge to watch the screen too much. I believed in that strategy. I still do. But there's a whole other side to markets I'd always watched from a distance: active trading, with its own signal logic, risk management, and tight feedback loops. The market has a grammar. I knew enough about systems to know I hadn't learned it. So for years, curiosity sat in the background. I understood FinTech infrastructure deeply. I just never turned it inward. The Decision That Changed Things The software industry has been going through a period of rapid, unsettling change. New capabilities arriving faster than most teams can absorb. Roles and workflows shifting in real time. The familiar but uncomfortable feeling of a landscape changing underneath you mid-career. For me, that uncertainty became a prompt rather than a reason to wait. The question wasn't whether to use new technology. It was whether to use it on someone else's problem — or finally start on my own. I've spent years working closely with the kind of technology driving these changes. I understand how it works, where it's reliable, and critically, where it isn't. The honest response was to stop observing and start building — using the skills I have, in a domain I understand, to build something that actually serves a purpose. Not a side project for the CV. Something I'd genuinely use. What I'm Building The first piece is a trading analysis and alert system for Indian markets — built for the specific nuances of NSE, SEBI constraints, and the kinds of macro events that matter here and nowhere else. It runs autonomously, surfaces signals to Telegram, and paper-trades before any real capital is involved. That last part is non-negotiable. Here's how the signal pipeline works at a high level: But the trading system is just the first layer. The broader intent is a connected ecosystem — each piece solving a different part of the same problem: what does it actually mean to manage money well, not just monitor it? None of it is finished. Most of it is in early stages. That's the whole point of writing about it here. Why Indian Markets Specifically A few things make Indian equities a uniquely interesting problem space, and why off-the-shelf Western tools don't cut it: SEBI regulations — strict intraday rules, circuit breakers, and position limits that most global trading frameworks don't account for NSE-specific signals — bulk deals, FII/DII flows, promoter pledging disclosures that move prices in ways that don't appear in standard technical analysis News sensitivity — RBI policy, earnings season, GST data — all market-moving events on a different calendar than global markets The retail infrastructure gap — institutional players have sophisticated tooling. Retail investors get generic apps. There's a lot of space in between Eight years of building for institutions showed me exactly what good tooling looks like. Building it for Indian retail — for myself first — is a different problem worth solving. What This Blog Will Be Every week I'll post a short build log: what was shipped, what broke, what I had to rethink. No product launches. No metrics I don't have yet. Just honest notes from someone building in a domain they respect, with stakes that are real. I've spent eight years building financial infrastructure for other people. This is the part where I build it for myself. Read the full interactive version on my site