I build performance-oriented software with C++, Linux, networking, concurrency, backend systems, and AI/ML — from low-latency systems to intelligent applications.
I'm a Computer Science & Engineering undergraduate at IIT (BHU) Varanasi, focused on building high-performance software and reliable systems. My interests span C++, Linux/POSIX, networking, concurrency, low-latency systems, backend engineering, and AI applications.
I enjoy understanding systems at a deeper level—from memory management, multithreading, and event-driven networking to API design, distributed communication, and performance optimization. I've built projects involving high-performance TCP networking, low-latency trading systems, real-time applications, and enterprise AI/RAG platforms.
Alongside software development, I actively practice data structures and algorithms and strengthen my foundations in operating systems, computer networks, system architecture, and performance engineering. I'm interested in challenging engineering problems where I can learn quickly and contribute to reliable, scalable, production-quality software.
A systems-first toolkit spanning C++, Linux, networking, backend engineering, and AI/ML.
Systems, networking, trading infrastructure, and AI applications built end-to-end.
A modular Linux/POSIX networking library focused on non-blocking TCP communication, event-driven I/O, connection management, buffering, and multithreaded request handling.
A C++20 systems project exploring low-latency concurrency, memory behavior, Linux/POSIX networking, and performance-oriented trading infrastructure.
A simulated electronic trading exchange exploring price-time priority matching, live order-book visualization, risk controls, P&L tracking, and a clean REST/WebSocket boundary for a future C++ backend.
An enterprise-focused AI platform for document ingestion, semantic retrieval, grounded question answering, and local LLM inference, designed around privacy, modular services, and production-oriented deployment.
An AI-powered platform for resume analysis, job-description matching, coding assessments, mock interviews, cover-letter generation, job discovery, and recruiter workflows.
A real-time messaging platform with private chats, communities, groups, public feeds, stories, WebRTC voice/video calling, presence, read receipts, and an AI assistant.
Research and engineering work across AI, systems programming, networking, and software development.
Worked on hybrid RAG and grounded LLM systems for ESG reporting, including dense + sparse retrieval, BM25, query fusion, cross-encoder reranking, PDF-to-JSONL pipelines, FastAPI, MCP orchestration, and citation traceability.
Built performance-oriented C++ and Linux projects involving lock-free queues, concurrency, POSIX sockets, non-blocking TCP, epoll, event-driven networking, memory optimization, and low-latency trading concepts.
Developed a modular C++17 TCP networking library using Linux/POSIX sockets, non-blocking I/O, epoll, Reactor-style event loops, connection management, buffers, multithreading, CMake, and CTest.
Explored C++20 concurrency and performance through SPSC lock-free ring buffers, atomic operations, cache-line alignment, CPU/thread affinity, POSIX networking, and asynchronous logging.
Built an enterprise-oriented RAG application with FastAPI, Streamlit, Ollama, ChromaDB, Docker, document ingestion, semantic retrieval, and local LLM inference.
Built a simulated electronic trading exchange exploring price-time priority matching, order-book visualization, risk controls, P&L tracking, and a REST/WebSocket boundary for a future C++ backend.
Fourth-year undergraduate coursework in data structures, operating systems, computer networks, computer systems, software engineering, databases, AI, probability, and discrete mathematics.
Led development of DocuMind, an AI document intelligence and PDF/RAG application, within the hackathon timeframe.
Led DocuMind development in the Unicorn Track.
Public C++, systems, AI, backend, and real-time software projects.
Courses and role-based certifications I've completed alongside my coursework.
All of my projects are open source and available on GitHub — from AI-powered platforms to smaller experiments.
github.com/srinuk9570I'm interested in Software Engineering, systems, performance, backend, and AI/ML opportunities. If you're building something interesting, I'd love to connect.