Abhishek Anand
Full-stack developer building MVPs, marketplaces and CRMs.
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Title: KYAT Gold — Gold Savings App (iOS & Android)
Description:
The customer side of a digital gold savings platform, built in Flutter for iOS and Android.
The app does three things people usually have to visit a jeweller for. It runs digital gold and silver SIPs at live market rates, with holdings tracked to three decimal places in a personal vault. It lets customers join monthly savings groups — the traditional chit model — and see exactly how full a group is, how many tokens remain, and when their next installment is due. And it handles the payments for both, with a countdown to the due date and one-tap settlement.
The screen I'd point to is the scheme calculator. Gold savings groups are genuinely hard to understand — there's a monthly amount, a token count, a total commitment, a guaranteed floor and a variable upside, and most people encounter all of that for the first time at the moment they're deciding whether to trust you with money for eleven months. So it's built as something you drag rather than read: move the token slider and total investment, minimum guaranteed return and maximum return all update together. The maths was never the difficult part. Making the commitment legible before someone signs up was.
The vault handles a related problem in the other direction. Gold is priced per gram, but people think in rupees, so buying works either way with a unit switch — enter ₹500 or enter 0.5g and the app resolves it against the live rate.
Onboarding is phone number and OTP only. No password, no email, no form. For a first-time gold saver the signup screen is where you lose them.
Flutter and Dart on the client, Node.js and MongoDB behind it, PayU for collection, and a live pricing feed driving every rate shown in the app.
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Title: Cognitome — Gamified Cognitive Assessment Platform
Description:
A web platform that delivers validated psychology experiments as playable browser tests, built for a research and assessment client based in Dubai.
It implements eight standard cognitive paradigms — Stroop, Numerical Stroop, Flanker, Corsi Block, Attentional Blink, the Attention Network Test, the Implicit Association Test, and the Wisconsin Card Sorting Task. Each one runs as a guided flow: instructions, a worked demo, a practice round, then the timed run, ending in a results breakdown. Every trial produces a metrics record, and effect scores are computed from those rather than from summary averages, so the output is analysable rather than just a number on a screen.
Administrators pick which experiments a participant should take, set an expiry, and the system generates an access-coded link. Participants open the link and begin — no account, no signup — and results are captured and stored on completion. That mattered because research participants abandon anything that asks them to register before they've seen the task.
The genuinely hard part was timing. These paradigms measure differences in reaction time that are often only tens of milliseconds wide, and a browser is a hostile environment for that — variable frame rates, input latency, background tab throttling. Getting stimulus presentation and response capture accurate enough for the effect sizes to mean anything drove most of the frontend architecture. Any of these tests is easy to build badly and the result looks identical until you check whether the numbers replicate known findings.
React 19 with Vite and Tailwind on the frontend, Node.js and MongoDB behind it for session generation, access control and result storage.
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Title: KYAT Gold — Digital Gold Savings & Chit Fund Platform
Description:
A production fintech platform for a gold trading business, built end to end — customer mobile apps plus the admin console that runs the operation behind them.
The product covers three revenue lines that most gold businesses run separately. Customers buy digital gold and silver as a SIP at live MCX rates, with holdings kept in a vault ledger. They join traditional chit groups with monthly installment collection and scheduled draws. And branch staff can transact over the counter on a customer's behalf through an OTC desk, with custom price override for negotiated rates.
The admin console is where the real complexity sits. Operators get one view of daily collections, overdue exposure, autopay success rate and payout queue, alongside time-series collection analytics and per-group draw progress. Because these are savings schemes members have to trust, monthly winner selection runs on SHA-256 seed verification with a downloadable audit trail — the draw is provably fair rather than something the operator can quietly influence.
The hardest part wasn't any single screen. It was reconciliation: gold prices move continuously, chit installments arrive irregularly, payouts are scheduled monthly, and every one of those has to stay consistent against a vault ledger that regulators and members can both audit. Getting that right shaped most of the backend design.
Mobile apps in Flutter for iOS and Android, PayU handling payment collection, and a Node.js backend managing ledgers, vault accounting, autopay retries and scheduled payouts.
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Title: Enterprise ATS & Hiring Requisition Platform
Description:
An applicant tracking system built for enterprise recruitment teams who had hiring data scattered across spreadsheets, inboxes and three different tools — with no single view of what was actually happening.
The core of it is the admin dashboard: a company-wide pipeline funnel from application through screening, interview, offer and hire, with velocity metrics on each stage so leadership can see where candidates stall rather than just how many are in the system. Alongside it sits recruiter performance comparison, job health monitoring and a hiring calendar.
Beyond the dashboard, the platform handles resume parsing and candidate search, job posting and interview scheduling, client and vendor management, and invoicing. I built an asynchronous Gmail and Outlook inbox sync on AWS SQS with a dedicated worker process, so recruiter email threads attach to the right candidate record automatically instead of being copy-pasted in.
The piece I'm proudest of is the hiring requisition module. An employee raises a hiring request, it routes up the reporting hierarchy for approval, branches depending on whether the role is budgeted or unbudgeted, and on final sign-off creates the job in the ATS automatically for HR to hire against. It's designed for roughly 600-person org hierarchies, which meant getting the approval routing right mattered more than any individual feature.
Stack: React · Node.js · Express · MongoDB · AWS SQS · Gmail & Outlook OAuth
Skills to tag: Full-Stack Development, React, Node.js, MongoDB, API Integration, SaaS, Dashboard Design, AWS
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