Arnav Deepaware
I build backend systems, data platforms, and full-stack products.
Computer Science at CCNY · Previously at truCurrent
About Me
I’m a Computer Science student at CCNY who enjoys building software where systems, data, and product meet. At truCurrent, I worked on EV charging analysis, data workflows, and cloud-deployed internal tools using Python, React, and Azure. Outside of internships, I’ve worked on market-data processing, AI infrastructure, computer vision, and accessibility projects.
I care about clear APIs, reliability, observability, and software that’s useful beyond a demo. I’ve also tutored computer science and helped organize TEDxCUNY, which has made communication and collaboration an important part of how I approach engineering.
Technical Skills
| Languages: Python, Java, JavaScript/TypeScript, SQL, C/C++ | Backend & Data: Spring Boot, FastAPI, REST APIs, PostgreSQL, Redis, TCP/WebSockets |
| Frontend: React, Next.js | Cloud & Infrastructure: Azure, Docker, GitHub Actions, Prometheus, Grafana |
| ML / AI: scikit-learn, TensorFlow/Keras, MediaPipe, LLM APIs | Engineering Focus: API design, data pipelines, reliability, observability, testing |
Experience
Product Development Intern
- Built and deployed an EV fleet charging analysis platform using Python, React, and Azure, producing full-year 8,760/8,784-point load profiles for infrastructure and grid planning.
- Developed priority-queue scheduling and three analysis modes for fixed infrastructure, charger optimization, and fleet-size optimization, including configurations for 100% fleet charging coverage.
- Built a Python legislative intelligence pipeline integrating Open States and LegiScan to normalize state-policy data, detect meaningful status changes, and generate automated weekly delta reports.
Software Engineer Intern
- Shipped product features for a Flutter mobile app, translating Figma designs into production UI across agile sprint cycles.
- Integrated REST API functionality backed by Laravel and collaborated with designers and backend engineers on user-facing releases.
Computer Science Tutor
- Tutored students in Data Structures, introductory programming, Discrete Math, algorithms, and debugging.
- Explained complex technical material through clear examples and step-by-step problem-solving strategies.
Selected Programs & Mentorship
Google Software Engineering Mentorship · Break Through Tech AI · CUNY Tech Prep
Featured Projects
StreamForge — In Development
- Building a configurable market-data platform that ingests STP, JSONL, and CSV data and normalizes events into a canonical model.
- Implemented declarative transformations, versioned pipeline definitions, bounded local execution, monitoring, and dead-letter handling through a dedicated control plane.
LLM Control Plane
- Built a FastAPI and Redis gateway that centralizes team authentication, model access, rate limits, and daily and monthly budgets.
- Implemented retry and fallback routing, circuit breakers, usage tracking, structured logs, and Prometheus/Grafana observability.
- Validated routing, policies, failures, and request lifecycle behavior with 93 automated tests using a deterministic mock provider.
SitRight
- Built a privacy-first posture monitor that runs MediaPipe and a custom 929-parameter neural network entirely in the browser.
- Re-architected the original server-side system to client-side inference, reducing observed latency from roughly 400–600 ms end-to-end to under 50 ms per frame locally.
- Processes roughly 10 frames per second using seven engineered geometric features while keeping webcam frames on-device.
A-eye
- Built a multimodal accessibility assistant for blind and visually impaired users using camera input, Gemini vision reasoning, and natural speech output.
- Designed a voice-first interaction flow for hands-free assistance with everyday visual tasks, including reading product information.
Beyond Code
Let's Connect
Want to talk software, systems, or an interesting project? Feel free to reach out.