Adithya Anilkumar

Jul 2025 - Present

Building an AI-powered decision engine that helps SMBs transform real-time data into clear, actionable insights.

Oct 2024 - Jul 2025

• First full-stack hire at an early-stage AI startup; led system design, infrastructure, and development across backend, frontend, and deployment during the 0→1 phase • Rebuilt the platform from prototype to scalable, production-ready architecture using Go, PostgreSQL, and React, increasing system stability and developer velocity • Engineered a RabbitMQ-powered event-driven system integrating Go and Python services across Linux and Windows environments, improving fault tolerance and reducing inter-service latency • Developed a WebGL CAD interface enabling browser-based rendering and annotation of 3D STEP files (Faces, Datums, etc.), enhancing user collaboration and design review • Implemented comprehensive observability, structured logging, and health checks, significantly improving uptime and incident response time

Feb 2023 - Oct 2024

• Worked with a multi-disciplinary team of Software, Electronics, Mechanical and Design Engineers in multiple R&D projects, delivering magical user experiences while improving customer safety • Architected and implemented a Bluetooth Pairing Flow similar to Google Fast Pair, leveraging native Android system-level APIs in Kotlin, enabling seamless pairing via BLE Beacons when the user's phone is near the vehicle • Developed and maintained the internal Bluetooth Low Energy library for critical communication between Ather Scooters and the Mobile App • Defined base architecture and state machine for the Ather Rizta series using Unidirectional Data Flow with MVVM paradigm • Integrated Tyre Pressure Monitoring System capabilities at the library level using Coroutines for real-time updates • Implemented Unit and Instrumentation Testing foundation, taking coverage from 0% to 75% within a week; automated UI tests reducing manual effort by 80% Technologies: Android (Kotlin), MVVM, Jetpack Compose, REST, ZMQ, Firebase, Python, Linux Kernel (AOSP)

Jan 2020 - Mar 2022

• Built an all-in-one gamified platform for student developers to learn in-demand development skills through industrial-level micro-projects called "quests" • Scaled to 1,200+ active users, helping thousands of student developers hone industry-level development skills • Partnered with various organizations to conduct multiple events and bring in industry collaboration • Took the product to MVP stage; pivoted after not finding Product Market Fit Technologies: React.js, Django Rest Framework, PostgreSQL, Google Cloud Run

Aug 2021 - Jan 2022

• Designed, developed and maintained internal tools for Data Warehousing and Management, increasing diagnostic and screening product accuracy by 80% • Built a custom database management tool (similar to Supabase Studio) from scratch using React.js and Elixir Phoenix Framework with GUI for Foreign Key relationships, self-hosted on AWS • Created a DICOM simulator for Ultrasound Scans that increased development velocity by 5x • Developed an Admin Dashboard for System Administration replacing previously used external tools Technologies: Elixir, Phoenix Framework, PostgreSQL, AWS, React.js, Erlang

Mar 2021 - May 2021

• Led a team of 4 as Team Lead and Full Stack Developer to build backend infrastructure for a Neo Bank Application from scratch • Architected and developed KYC Pipeline, Bharat Bill Pay Integration, Buy Now Pay Later Integration, and Credit Processing Infrastructure using Node.js with microservice architecture • Scaled to 500+ users following agile & scrum practices with weekly feature releases • Migrated infrastructure to serverless architecture using Google Cloud Functions and Firebase Firestore, reducing costs and optimizing for scale Technologies: Node.js, Express.js, Google Cloud Functions, Firebase Firestore

Feb 2020 - Aug 2020

• Wrote modern, performant, and robust code for a Personal Finance Management application using Python, NumPy, Pandas, Flutter, and Airtable • Developed, tested and deployed a Transaction Intelligence module for parsing transaction data from users' transaction history • Analyzed and extracted transactional and behavioral information from user data for personalized finance management insights Technologies: Python, NumPy, Pandas, Flutter, Airtable