Software Developer • Open Source Contributor • Backend & Systems • Machine Learning
I’m Akash, a developer focused on backend systems, machine learning, developer tools, and open source.
- Contributing to large-scale open source projects like Strapi and Mastra
- Interested in backend architecture, APIs, infrastructure, and ML systems
- Learning AI systems, LLM tooling, and distributed systems
- Ask me about Node.js, JavaScript, PostgreSQL, MongoDB, MySQL, and open source workflows
- Goal: Become a strong systems and software engineer
- Real-time chat with Socket.io (1-1 + group chat)
- AI chatbot integration (Groq API)
- ML-based moderation (toxicity + spam detection)
- Voice/video calling (ZegoCloud)
- Full admin dashboard with analytics
- Resume parsing with NLP + ML scoring
- Skill gap detection and job recommendations
- AI-generated interview questions (LLM-based)
- Dashboard with analytics and progress tracking
- Real-time chat + community features
- Strapi — Fixed OpenAPI plugin route prefix handling (#25616)
- Mastra — Fixed invalid JSON escape handling in PostgreSQL (#14692)
- GeomScale (volesti) — Improved build and run documentation (#376)
- Fixed incorrect OpenAPI path generation for plugin routes
- Handled router.prefix and config.prefix edge cases
- Added unit tests for full coverage
- Passed 90+ CI checks
- Fixed PostgreSQL jsonb failures caused by invalid escape sequences
- Implemented safe sanitization for invalid escapes and null characters
- Added tests to ensure correctness
- Improved developer onboarding experience
- Cleaned up CMake workflow using out-of-source builds
- Added clear execution steps for examples
- Backend systems and API design
- AI tooling and LLM workflows
- Database reliability (PostgreSQL, JSON handling)
- Testing and edge-case handling
- Developer experience improvements
| Category | Technologies |
|---|---|
| Languages | JavaScript, Python, C++, C |
| Frontend | React, Tailwind CSS, HTML, CSS |
| Backend | Node.js, Express, REST APIs |
| Databases | PostgreSQL, MongoDB, Firebase |
| Deployment | Render, Vercel |
| ML / AI | FastAPI, Hugging Face, Scikit-learn, Pandas, NumPy |
| ML Concepts | Supervised Learning, Classification, Model Tuning, Ensemble Learning, NLP |
| NLP | Bag of Words, TF-IDF |
| Tools | Git, Docker, GitHub Actions |
- Scaling open source contributions
- Backend and infrastructure deep dive
- Exploring AI and system design
⭐ If you like my work, consider following or checking out my repositories