# Javad Rajabzadeh | Resume

- Author: Javad Rajabzadeh
- Date: 2026-07-19
- URL: http://javad.dev/resume/


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# Javad Rajabzadeh
**Senior Software Engineer & Technical Lead**  
📍 Belgium / Remote | ✉️ ja7ad@live.com | 🌐 [https://javad.dev](https://javad.dev) | 🐙 [GitHub](https://github.com/ja7ad) | 💼 [LinkedIn](https://www.linkedin.com/in/ja7ad/)

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## Executive Summary
Results-driven **Senior Software Engineer & Technical Lead** with 9+ years of experience architecting high-performance backend microservices, decentralized blockchain networks (Layer 1, 2 & 3), and real-time AI/ML signal processing pipelines. Track record of leading cross-functional teams, publishing AWS Marketplace solutions, building ROS2 robotics modules, and contributing to core open-source infrastructure (TrustWallet Core, Meilisearch Go SDK).

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## Core Technical & Leadership Skills
- **Software Architecture & System Design:** Distributed systems design, microservices architecture (gRPC), event-driven pipelines, API gateway design, database schema optimization (PostgreSQL, MongoDB, Redis), container orchestration (Docker, Kubernetes, Linux).
- **Technical Leadership & Business Strategy:** Engineering team leadership, B2B/B2C SaaS product development, technical roadmaps, cloud cost & energy optimization, bridging complex engineering with business growth goals.
- **Blockchain & Web3 Infrastructure:** Layer 1, 2 & 3 protocol architectures, consensus mechanisms, cryptographic key derivation & transaction signing (TrustWallet Core contributor), Filecoin Lotus devnet R&D, Solana NFT marketplaces.
- **AI, Edge Computing & Robotics:** Quantized edge AI models (TensorFlow LSTM anomaly detection, deep Wiener-filter speech enhancement), ROS2 (Robot Operating System) robotics module engineering, real-time IoT pipelines (MQTT, ThingsBoard).

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## Professional Work Experience

### Software Technical Lead & Senior SW Engineer
**Sensifai** | Belgium *(Feb 2023 – Present)*
- Led technical design and development of enterprise B2B and B2C solutions utilizing deep learning, blockchain, IoT, and signal processing.
- Engineered video recognition systems deployed on AWS Marketplace integrating multi-modal audio-visual AI models.
- Architected ROS2 robotics integration modules (**DoRAI**) for real-time edge AI perception on autonomous robotic platforms.
- Designed quantized deep Wiener-filter speech enhancement models (**Q-WiSE**) running on ultra-low-power edge hardware.

### Lead Software Engineer
**Ramooz / MedXFactor** *(Jan 2022 – Feb 2023)*
- Architected microservices-based Case Management cloud architecture using Go, gRPC, and MongoDB.
- Developed concurrent Golang worker modules handling high-throughput production data pipelines.

### Senior Software Engineer
**farageek** *(Apr 2021 – Nov 2021)*
- Conducted Blockchain R&D for the Filecoin network, implementing Lotus group logic and Lotus Devnet infrastructure.
- Built automated smart miner management tools integrated with pool telemetry.

### Software Developer
**Freelance** *(Mar 2013 – Mar 2021)*
- Developed utility software, desktop tools, and key verification software across an 8-year freelance span.

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## Key Projects & Open Source Contributions
- **DoRAI (ROS2)**: Robotics AI perception framework built with ROS2 modules. [GitHub](https://github.com/Sensifai-BV/dorai/)
- **Q-WiSE**: Real-time quantized speech enhancement model for edge hardware. [Demo](https://sensifai-qwise.hf.space/)
- **TrustWallet Core**: Contributed Layer 1 blockchain integration, transaction signing, and key derivation. [GitHub](https://github.com/trustwallet/wallet-core)
- **Meilisearch Go SDK**: Official Golang client maintainer for high-speed search index engine. [GitHub](https://github.com/meilisearch/meilisearch-go)
- **OTP (Go Package)**: Creator of zero-dependency high-performance TOTP/HOTP/OCRA Go package. [GitHub](https://github.com/ja7ad/otp)
- **Aerium**: Core Maintainer of decentralized community governance protocol. [Website](https://aerium.network/)

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## Honors & Awards
- **OC2 AquaSense Winner (NebulOuS Meta-OS)**: Designed real-time IoT water quality monitoring system using MQTT, edge Raspberry Pi devices, and a cloud TensorFlow LSTM model with 95% anomaly detection accuracy.
- **OC3 Q-WiSE Winner (Sensifai)**: Awarded for energy-efficient quantized speech enhancement AI on low-power devices.