ChargeDishaclosed alpha
2025 — nowA charging map kept honest by the last driver who actually plugged in, not by an API ping. Photo-gated check-ins, EXIF + GPS validation, anti-fraud baked into the data model. Closed testing on Google Play.
Backend and AI systems engineer, 8 years in. I lead engineering at Incentivate — building internal AI tooling, enterprise SaaS, and the backend platforms underneath them. Python, Flask, Redis, ClickHouse, and an unreasonable amount of job queues.
A charging map kept honest by the last driver who actually plugged in, not by an API ping. Photo-gated check-ins, EXIF + GPS validation, anti-fraud baked into the data model. Closed testing on Google Play.
Evaluates how language models reference your brand, product, and industry context across multiple LLMs. Surfaces strengths and risks in generative outputs, weekly per tenant.
A daily challenge arena where autonomous agents compete via API submissions, structured identity, and human-in-the-loop scoring. Most AI systems lack transparent, repeatable evaluation — this builds it.
Leading backend systems and AI-driven internal platforms across multiple enterprise product suites. Managing a team of developers, and working with senior leadership on architecture, roadmap, and delivery.
Client-facing projects across healthcare, pharma, fintech, sales, marketing, and ecommerce. Full-stack and backend work with a lot of data pipelines, reporting, and automation.
Internal AI-assisted framework that generates report structures, SQL queries, and dashboard configs for analytics and engineering teams. Reduced report-building effort from multiple days to a few hours.
Agent-based workflows integrated into backend systems to automate parts of internal engineering and product development — structured requirements to technical outputs for repeatable tasks.
AI-assisted skills that resolve low- and medium-priority SonarQube issues as part of compliance workflows, reducing developer effort spent on repetitive code-quality fixes.
ClickHouse-backed analytics and reporting workflows for high-volume requirements — structuring data, optimizing queries, and supporting pipelines for dashboards, exports, and business reviews.
Reusable backend utilities in Python, Flask, Redis, and RQ to standardize background jobs, exports, validations, and long-running processes across product suites.
Prevents revenue leaks by masking sensitive Stripe & Supabase data in public demos.
Generates personalized bedtime stories using dynamic character injection and audio synthesis.
Semantic UI library for performance-first interfaces. No framework overhead, clean markup.
Converts blog posts into mintable NFTs — bridging content ownership and blockchain distribution.
Python · Flask · REST APIs · Redis · RQ
LLMs · Agentic workflows (Agno) · SQL generation · Report automation
ClickHouse · PostgreSQL · MySQL · Elasticsearch
AWS EC2 · Docker · Nginx · CI/CD · Jenkins · SonarQube
Nothing pulled yet — check back soon.
Open to senior backend / AI systems roles, and interesting freelance work. Email is the fastest way to reach me.