Resume
Joel Peter Sony
Software engineer · product builder · generalist
Experience
Founder & Software Engineer — Adrovel
Dec 2024 - Feb 2025, restarted Apr-May 2026
- Founded Adrovel and led engineering for small software products and client prototypes.
- Built and improved apps across AI notes, marketplaces, creator tooling, trading tools, and business systems.
- Heavy contributor to Bitsit and current active-app portfolio under the Adrovel umbrella.
Software Engineer — Asyncauto / Cashflowy
Dec 2023 - Dec 2024
- Worked across Fetch, Purchase Orders, and Transactions products in Cashflowy's fintech vertical.
- Built accounting and finance interfaces for invoice tables, purchase-order flows, transaction views, filters, loading states, and wireframe-to-product screens.
- Used MUI Joy heavily while shaping production UI surfaces, component states, and consistent fintech workflows.
- Built Switchless in parallel, a 30+ component internal UI library with Storybook stories and Cypress coverage so the team could stop rebuilding the same interface pieces.
- Ported legacy SailsJS views to newer Next.js surfaces while working through finance-domain edge cases and operator-facing product details.
Selected projects
Bitsit
Event and marketplace product
- Team-built deployed product with test users, listing/discovery flows, and payment handoff work.
InnerScript
AI journaling and note retrieval
- Local-first notes app with OpenAI embeddings, semantic retrieval, and AI chat over private writing.
Electronic Component Management and Analytics
Inventory, operations, and analytics system
- Team-built system for electronic-component purchasing, inventory, sales workflows, invoices, and operational records.
- Focused on making component stock, vendor activity, purchasing status, and sales movement easier to inspect from one operational surface.
- Helped shape ERP-style workflows into usable screens for day-to-day business tracking and internal decision-making.
Minted
Pre-degree NFT startup
- Built an early NFT product with a four-person team, including NIT collaborators.
- Raised $30K from Jake Udell, a Forbes 30 Under 30 music entrepreneur, before the project was scrapped and became an early lesson in markets, timing, and startup execution.
Technical strengths
Product frontend
Strongest layer: React, Next.js, CSS, responsive UI, interaction polish, and turning rough product ideas into usable screens.
Python and automation
Python is mainly a builder's tool for scripts, automation, notebooks, LangGraph experiments, data handling, and quick AI prototypes.
RAG and AI systems
Comfortable with practical retrieval workflows: chunking, embeddings, vector search, prompt context, OpenAI APIs, and checking whether retrieved context is actually useful.
Machine learning knowledge
ML knowledge is practical rather than research-heavy: model behavior, data preparation, evaluation intuition, retrieval quality, and using ML/AI systems inside products.
Other
DSA journey
Quiet algorithm practice
- Solved 350+ LeetCode questions and use it as a steady Python practice log for data structures, algorithms, edge cases, and interview-style explanation.
- Most comfortable with arrays, strings, hash tables, DFS, math, and two-pointer patterns; currently tightening dynamic programming and harder problem patterns.
- View LeetCode profile
Machine Learning Specialization
Coursera / DeepLearning.AI
- Credentialed ML fundamentals through Andrew Ng's specialization, covering supervised learning, unsupervised learning, neural networks, regression, and classification.
- Verify certificate ID I1PJWNLO581E