Aqueel Ahmed Vallanchira

I am a builder and AI engineer working on products, infrastructure, and the small decisions that make software feel considered. Currently, I am on the founding team at Crink.App.

I like turning rough ideas into shipped systems, building taste into the defaults, and making useful things with teams small enough that every detail still matters.

Kochi, India Builder / AI engineer AI infra, evals, product Tasteful systems, useful tools

Work

Founding Team & Engineering Manager, Crink.App

Dec 2025 - Present

Helped close a Rs. 1.8 Cr pre-seed round, recruited and shaped a five-person builder team, set operating rhythms, and built analytics and evaluation systems with PostHog, Langfuse, and Ragas workflows.

AI Engineer, Crink.App

May 2025 - Dec 2025

Built AKS infrastructure from scratch, designed task orchestration around Hatchet, contributed to empathetic agent architecture, and shipped voice notes, voice agents, push notifications, and subscription systems.

Software Engineer, Bacuti

May 2024 - Aug 2024

Designed a multi-source emissions data aggregation system, built a secure carbon data sharing protocol, and helped shape API workflows for product carbon footprint data.

Product Engineer, Reap Studio

Mar 2024 - Apr 2024

Built a Tableau extension for natural-language dashboard querying and interactive exploration, connecting product polish with the data layer underneath it.

Selected builds

scorechecker.in

Co-founded and shipped a JEE score calculation platform that reached 5,000+ users in 3 days, converted 72 paid users in 24 hours, and was acquired by Eduport within a week.

React, FastAPI, AWS, GitHub Actions, Razorpay
Personal knowledge base

Built a browser-based memory system with offline and API-backed embeddings, retrieval-augmented search, and packaged desktop distribution.

TypeScript, embeddings, RAG, browser extensions
Pathway KDAG

Python work exploring graph-oriented pipelines, part of a broader habit of building small tools to test ideas quickly.

Python
Anomaly detection

Real-time anomaly detection using the SPOT algorithm, with streaming data processing, smoothing, and performance evaluation.

Python, streaming data, evaluation