FULL STACK & PYTHON DEVELOPER

I'm Pranjal Shukla — a Full Stack Developer and Python Engineer from Prayagraj, India. I build complete web systems end-to-end: crafting responsive, animated frontends with React and Next.js, designing RESTful and real-time backend APIs in Python and Node.js, and engineering robust database architectures — all the way through to cloud deployment.

Beyond the web, I work across Cybersecurity — building automated SIEM pipelines, threat detection systems, and incident response tools. In AI/ML, I architect agentic LLM systems with LangGraph, RAG pipelines, and voice assistants. In IoT, I engineer MQTT telemetry backends and sensor control APIs — bridging hardware and intelligent software.

Pursuing Bachelor of Science in Computer Science focusing on data structures, algorithmic design, machine learning, cloud architectures, and modern web systems.

• ▸Specializing in Agentic AI workflows, LangGraph cyclical architectures, and containerized microservices.
• ▸Conducting active research in long-term memory graph persistence for LLMs and real-time telemetry systems.
• ▸Building production-grade open-source software solutions alongside undergraduate coursework.

Engineering full-stack architectures, autonomous agent loops, and hardware telemetry endpoints throughout college tenure.

• ▸Engineered 'Barnaby', a persona-driven AI companion with dual-tier persistent memory and asynchronous fact extraction via Gemini API.
• ▸Built an event-driven self-healing Kubernetes remediation agent with Slack approval triggers using LangGraph & FastAPI.
• ▸Developed an automated IoT water pump relay control system with NodeMCU ESP8266 and live telemetry dashboards.
• ▸Created Jarvis, a local-first voice assistant with Faster-Whisper, PyAutoGUI, and desktop UI integration.

Successfully completed Senior Secondary (Class XII) with a strong analytical foundation in Mathematics, Physics, and Computer Science.

• ▸Mastered fundamentals of programming, boolean algebra, and mathematical modeling.
• ▸Achieved academic distinction in computer science and quantitative problem solving.
• ▸Successfully transitioned directly into undergraduate Computer Science studies.

Completed foundational high school education (Class X) covering general sciences, mathematics, and computational basics.

• ▸Graduated with top tier grades across science and mathematics disciplines.
• ▸Developed an early interest in computing, logic systems, and electronic hardware.
• ▸Participated in regional science & mathematics olympiads.