Computer Science Undergraduate • Systems Builder • Patent Inventor
“Bridging low-level systems architecture, full-stack knowledge retrieval, and color-context-aware human-computer interaction.”
I build full-stack products and AI-assisted systems, with a focus on backend engineering, real-time applications, data, and practical AI. I enjoy taking ambiguous problems from idea to implementation — designing the architecture, building the system, and understanding the trade-offs behind it.
Grounding, engineering values, and research trajectory.
B.Tech undergraduate in Computer Science & Engineering at Lovely Professional University (LPU), following a Diploma in CSE (CGPA: 9.12). Currently maintaining an 8.2 CGPA.
“I prioritize scalable architecture, clear separation of concerns, disciplined API contracts, and substantive utility over superficial decoration.”
Developing high-impact software systems, refining computer science fundamentals, and preparing for engineering roles in systems architecture and product engineering.
Undergraduate study in Computer Science and Engineering.
Lovely Professional University (LPU) — Phagwara, Punjab
Lovely Professional University (LPU) — Phagwara, Punjab
Active areas of investigation and system construction.
Next.js App Router, Express.js microservices, and asynchronous event pipelines.
Context-aware organizational search, vector embeddings, and LLM prompt chaining.
Socket.IO event synchronization, session-backed authorization, and MERN architectures.
Object-oriented design patterns, concurrency controls, and clean architectural boundaries.
C++ problem solving, graph algorithms, and algorithmic complexity optimizations.
Languages, frameworks, databases, and core CS fundamentals.
Architectural case studies, distributed engines, and low-level software.
End-to-end workspace connecting task execution, financial metrics, and context-aware AI advisory for early-stage teams.
Real-time project collaboration platform with partner discovery, WebSocket messaging, and RESTful project governance.
Multimodal AI studio for prompt engineering, image style reverse-engineering, and high-fidelity text-to-image generation.
Formal coursework reports, patent documentation, and algorithm evaluations.
Domain: Optical Systems & Artificial Intelligence
Formal patent specification for a non-destructive digital highlighter integrating optical text capture, color-space segmentation, optical character recognition, and AI-based contextual note organization.
Domain: Applied Generative AI
Deep dive into Transformer-based LLM architectures, covering multi-head self-attention mechanisms, tokenization semantics, prompt chaining, and function calling workflows.
Domain: Object-Oriented & Systems Architecture
Systematic evaluation of object-oriented design patterns, SOLID principles, thread synchronization primitives, and clean architecture boundaries.
Analyses of networking protocols, Go internals, and multi-agent AI architectures.
From DNS lookup to asymmetric key exchange and symmetric stream encryption.
A deep dive into what happens when you type https:// into your browser: asymmetric handshakes, ephemeral Diffie-Hellman, cipher suites, and packet structures.
Understanding lexical scoping and subtle bug vectors in concurrent Go routines.
How Go's short variable declaration operator `:=` inside nested blocks can silently shadow outer variables and create difficult-to-trace bugs in production services.
Technical discussions & engineering opportunities
Open to undergraduate research collaborations, systems projects, and SWE roles.