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).