Software Architect & Full-Stack Engineer 📍 Rohtak, Haryana, India | 🌐 frenix.sh | ✉️ support@frenix.sh
Highly technical Software Engineer and Systems Architect with a specialization in AI orchestration and high-concurrency backend systems. Proven track record in building scalable API gateways, optimizing non-blocking I/O operations, and developing developer-centric tools. Expert in bridging the gap between state-of-the-art AI models and production-ready enterprise applications.
- Languages: Python (Expert), TypeScript, JavaScript (ES6+), Node.js
- Backend & Infrastructure: Flask, RESTful API Design, OpenAI-Compatible Gateway Architecture, Reverse Proxying
- AI Orchestration: Multi-modal Integration (Text, Image, Video), Provider Dialect Mapping (Onyx, Gemini, GPT), Token Optimization
- DevOps & Tools: Git/GitHub, Linux Server Management, Cloud Bench-testing, High-Concurrency Request Handling (100+ req/s)
- Frontend: React/Next.js (for Dashboard development), Artifacts UI (Side-by-side code rendering)
January 2026 – Present
Project: Frenix AI Gateway V2 (Enterprise LLM Orchestration)
- Core Engine: Engineered a high-performance Python-based gateway that unifies 150+ LLMs under a single, standardized API.
- Protocol Translation: Developed a "Lite AI Gateway" logic to translate OpenAI-compatible requests into specific provider dialects (e.g., Onyx, Gemini), maintaining 100% system uptime.
- Scalability: Optimized backend infrastructure to handle high-concurrency loads on Hugging Face and private cloud environments using non-blocking I/O.
- Innovation: Architected the "Artifacts" feature, allowing real-time, side-by-side frontend previews of AI-generated code.
- Full-Stack Ownership: Built the production dashboard for real-time monitoring of inference, usage analytics, and private beta management.
- Niche Analysis: Conducted deep-dive technical audits of high-growth platforms to implement "Retention-Hacking" features in software products.
- API Mapping Research: Bench-tested multimodal inputs (Image-to-Image, URL-based processing) to ensure seamless cross-platform compatibility for generative AI tools.
- Onyx-to-OpenAI Bridge: A specialized middleware that maps disparate API structures to a unified standard, enabling legacy apps to use cutting-edge models without code changes.
- Multi-Modal Pipeline: Built a TypeScript-based ingestion system for handling base64 and URL-based image inputs for SOTA generation models.
- Production Monitoring Dashboard: A secure, enterprise-facing UI for managing private beta access and tracking API health in real-time.
- Advanced Mathematics & Physics: Strong foundation in computational logic, function analysis, and classical mechanics—applying mathematical modeling to software performance.
- Curriculum: NCERT/CBSE Class 11 (Academic focus alongside professional development).
| Language | Proficiency | Focus |
|---|---|---|
| Python | Expert | Backend, AI Gateways, Logic |
| TypeScript | Advanced | UI Components, Multi-modal I/O |
| Flask | Expert | API Orchestration, Microservices |