Lead software engineer. AI-native products, end to end.

I build AI-native products from database schema to mobile app to CI/CD pipeline. Nine years across fintech, edtech, and AI, for companies in India, Singapore, and Denmark. Founding engineer at SigIQ, where I built AI tutors used by hundreds of thousands of students; now an independent consultant on architecture and AI systems, currently advising ViziSmart.

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Experience

ViziSmart

2026 โ€“ present

Advisor ยท Architecture & AI Systems

Quest activeSystem design ยท HLD/LLDAI architectureScalability

Advising ViziSmart, an AI property-management platform, on their technical architecture โ€” system design (HLD/LLD) across their web and mobile apps, scalability, and the shape of their AI systems: visual-detection inspections, an AI chatbot, and a voice agent.

SigIQ

2025 โ€“ Jun 2026

Founding Engineer ยท Lead Frontend

200k+ learners#1 Product of the Day175/200 UPSC engine

Founding engineer on PadhAI, SigIQ's AI-tutoring platform for India's toughest exam. Built the product zero to one โ€” a retrieval-augmented tutor that answers with citations, AI evaluation of long-form answers, and live 1-v-1 quiz battles โ€” shipped across web, Android, and desktop from a single codebase, with the AWS infrastructure and CI/CD behind it. 200,000+ learners in six months; the engine scored 175/200 on the 2024 UPSC Prelims.

Led EverTutor, our real-time voice tutor: a speech-to-text โ†’ LLM โ†’ text-to-speech pipeline with a shared whiteboard, modeled as a deterministic multi-modal state machine (voice โ†” chat โ†” draw). #1 Product of the Day on Product Hunt; 40% engagement lift.

Also ran our agentic software factory: Phoenix, an automated agent that reads the codebase and reviews every pull request, plus live-ops automation โ€” spec โ†’ build โ†’ test โ†’ review loops with human ship-gates.

Saxo Bank

2019 โ€“ 2021 ยท 2024

Frontend Engineer โ†’ Senior Frontend Engineer

1M+ usersDesign systemReal-time trading

Two stints. Built and maintained the React Native investor platform serving 1M+ users โ€” real-time market data, portfolio management, order execution โ€” and core design-system components documented in Storybook. Returned in 2024 as a senior engineer to build advanced trading-chart features and mentor the frontend team.

LeadIQ

2021 โ€“ 2023

Frontend Engineer

+40% retentionServer-driven UI

Fully remote with the Singapore team. Re-architected new-user onboarding with a server-driven UI approach โ€” the server decides each next step from user state, so flows iterate without app releases. 40% lift in new-user retention.

C-DOT

2016 โ€“ 2019

Research Engineer

Research and development at India's premier telecom R&D centre. Internal tooling and simulation systems for network protocols.

Computer Engineering, NSIT Delhi (2016).

How I work

Three questions interviewers actually ask โ€” answered with the real stories, so you can skip the small talk.

Zero to 200k learners in six months

Situation

I joined SigIQ as a founding engineer with a one-line brief: build an AI tutor for UPSC, India's toughest exam โ€” a million candidates, no spec, no team, no playbook.

What I did

I broke the ambiguity into shippable slices and led with the sharpest pain: doubt-solving. Shipped a retrieval-augmented tutor that answers with citations, then layered on answer evaluation and live 1-v-1 quiz battles. Chose boring-but-leveraged tech โ€” one web codebase shipped to web, Android, and desktop via PWA-in-WebView โ€” and built the CI/CD pipeline and AWS infrastructure myself. Weekly student cohorts were the feedback loop; what confused them got rebuilt.

Result

200,000+ learners in six months, 100k+ installs at 4.5โ˜…, and the engine scored 175/200 on the 2024 UPSC Prelims โ€” part of the platform behind SigIQ's $9.5M seed.

Hardest part

The hardest part was balancing evaluation quality against ship speed โ€” a tutor that's wrong is worse than no tutor. I set a rule: no AI feature ships without a citation trail or an eval gate.

Selected projects

Open to senior and staff roles at remote-friendly companies building AI-native products โ€” and to a small number of architecture and AI-system consulting engagements.

avinashdangi.26@gmail.com ยท GitHub ยท LinkedIn ยท Resume