Computer Engineer | Systems & AI
Imperial College London (EIE)

I’m a computer engineering student focused on building robust systems end-to-end — from low-level execution and computer architecture to distributed backends and AI-powered applications. I've worked in projects ranging from hardware to software, computer architecture to AI systems. I particularly enjoy OS, networking, and software system fundamentals.

I care about code optimisation, fast inference, and understanding how coding languages work beneath abstractions. I enjoy projects where I can reason across layers: OS → networking → backend → product.

• Operating systems, compilers, and execution models
• Distributed systems, networking, and infrastructure
• AI systems applied to real engineering problems
• Developer tools and automation

Custom Unix-like shell written in C

• Implemented command execution, pipes, I/O redirection, subshells, and built-in commands
• Designed a parentheses-aware parser for nested subshells and pipelines
• Managed Unix processes using fork, exec, pipe, dup2, and wait to ensure correct synchronization and cleanup

5-stage pipelined CPU with cache (SystemVerilog)

• Built a full RV32I processor with IF/ID/EX/MEM/WB pipeline stages
• Implemented hazard detection, data forwarding, and control logic
• Designed a 2-way set-associative write-back cache with LRU replacement and miss-handling FSM

Real-time workplace hazard detection system

• YOLOv8-based detection pipeline with FastAPI backend
• Context-aware graph logic to distinguish safe vs unsafe tool usage
• Built at Berkeley AI Hackathon 2025

AI-powered personalized education platform

• Full-stack application using Next.js, Node.js, and Supabase
• Retrieval-augmented generation pipeline for adaptive learning plans
• Multi-agent system for content generation and evaluation

Python, C, C++, JavaScript/TypeScript, Bash, Assembly, SystemVerilog

Unix/Linux, Operating Systems, Networking (TCP/IP, HTTP), Process Management
Node.js, Express, FastAPI, REST APIs

PostgreSQL, SQL, Data Modeling, Indexing, NoSQL trade-offs

Docker, Kubernetes, CI/CD, Cloud Deployment (AWS, GCP), Observability

LLM APIs (OpenAI, Anthropic), RAG pipelines, Vector databases, YOLOv8

• Website: https://sumukh-adiraju-website.vercel.app
• LinkedIn: https://linkedin.com/in/sumukh-adiraju-07235b31b
• Email: sadiraju06@gmail.com