Arbaz Khilji
@arbazkhilji
Backend software engineer building secure, real-time concurrent chat systems and AI-powered conversational services.
What I'm looking for
I’m a backend-focused software engineer who builds secure, real-time, concurrent chat systems from scratch using Java. I design custom application-layer protocols and scalable multithreaded server architectures without frameworks.
In my Secure Multithreaded Chat Server, I engineered TLS-secured client-server messaging using X.509 PKI and a thread-pool–driven concurrency model with backpressure via connection limits. I added lock-free concurrent registries for session and user management and built explicit observability hooks for monitoring connections, commands, and system health.
I intentionally design for evolution: my chat backend is chatbot-ready, so AI agents and LLM-based responders can plug in without destabilizing the core transport layer. I’m currently studying B.Tech in Artificial Intelligence and Data Science, which supports my shift toward conversational systems.
Now, in my LLM-Powered Chatbot Service (Java–Python Integration), I integrated a Python-based LLM chatbot with my custom Java real-time chat server. I built a language-agnostic protocol bridge, added session-aware conversation memory, orchestrated prompts for safe responses, and kept the AI service behind backend-only boundaries for security—while targeting low-latency responses and future token streaming.
Experience
Work history, roles, and key accomplishments
LLM-Powered Chatbot Service
Independent Projects
Jan 2026 - Present (4 months)
Built a Python-based LLM chatbot service integrated with a custom Java real-time chat server using a language-agnostic protocol bridge. Implemented session-aware conversation memory and prompt orchestration, deploying the AI service behind the backend for secure, low-latency responses.
Secure Multithreaded Chat Server
Independent Projects
Jan 2025 - Present (1 year 4 months)
Designed and implemented a production-oriented real-time chat server in core Java with a custom application-layer protocol for command-based routing. Secured client-server messaging with TLS using X.509 PKI and built a thread-pool concurrency model with backpressure via connection limits.
Education
Degrees, certifications, and relevant coursework
Madhav Institute of Technology
B.Tech, Artificial Intelligence and Data Science
2025 - 2029
Pursuing a B.Tech in Artificial Intelligence and Data Science, with coursework including data structures, operating systems, computer networks, databases, and AI fundamentals.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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