Computer Science engineer specializing in Artificial Intelligence, scalable systems, and data-driven architectures. Focused on bridging research and production-grade engineering with emphasis on performance and real-world impact.

• 🎓 M.Tech (Computer Science)
• 🔬 Research: Computer Vision, Deep Learning, Multimodal AI
• ⚙️ Engineering: Full Stack Systems, Distributed Architectures
• 📈 Domain: Algorithmic Trading Systems
• 📚 Authoring a practical AI + research-based book

• Deep Learning (CNNs, Transformers, Vision Transformers)
• Computer Vision & Video Analytics
• Natural Language Processing (NLP)
• Model Optimization & Evaluation
• Data Pipelines & Preprocessing

• Data Structures & Algorithms (DSA)
• System Design & Scalable Architectures
• REST API Development
• Performance Optimization (Time & Space Complexity)

• Frontend: React.js, Next.js, Tailwind CSS
• Backend: Node.js, Express.js
• Databases: PostgreSQL, MongoDB

• LaTeX (Academic Writing)
• Git & GitHub
• Docker
• Pandas, NumPy, SQL

📈 GitHub Stats

• Advanced AI Systems (Computer Vision + Multimodal AI)
• High-Performance Backend Systems
• Research Publications & Technical Writing
• Production-Grade Intelligent Platforms

Open to:

• AI/ML Research Collaborations
• High-Impact Software Engineering Projects
• Open Source Contributions

Engineer systems that are intelligent, scalable, and impactful.

— Srishti Gauraha | AI × Systems Engineering