Software Developer • Open Source Contributor • Backend Systems • API Security • 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
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Strapi — Fixed critical RBAC-related 403 error in countDraftRelations and resolved OpenAPI plugin route prefix issues, improving API correctness, authorization handling, and developer experience (#25977, #25616)
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Hugging Face Diffusers — Fixed instance isolation bug in profiling utilities caused by incorrect bound method decoration (deepcopy + descriptor issue) (#13471)
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Haystack (deepset-ai) — Fixed NVIDIA structured output handling and migrated to response_format schema for improved LLM integration reliability (#3058)
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Cal.com / Cal.diy — Fixed rate limiting issues, improved API correctness, and resolved UI alignment inconsistencies (PRs: (Link))
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Mastra — Contributed bug fixes and improvements across core features (PRs: (Link))
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conda-forge — Fixed UnicodeDecodeError issues on Windows by enforcing UTF-8 encoding, improving cross-platform reliability (#2800, #2799)
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GeomScale (volesti) — Improved build and run documentation for better developer onboarding (#376)
📌 Detailed contributions (with explanations, impact, and tests):
👉 https://github.com/Akash504-ai/open-source-contributions
- 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