AI workshop
Jalaluddin Khan
AI Engineer
Hey, I'm Jalaluddin. I'm building production-ready AI systems with a focus on LLM applications, automation agents, retrieval pipelines, and clean user-first tools for real teams.
I love working at the intersection of intelligence, software, and product, turning messy ideas into scalable assistants, dashboards, workflows, and experiments that feel sharp in the hand.
Brands I have worked with
Moments
Research notes
Model desk
Build sprint
Night deploy
Exchange talk
Team day
Work
I started Provizraq Labs Pvt. Ltd. on April 3, 2025, with a simple mission: make education more personalized, accessible, and AI-powered for everyone.
Across this 1+ year journey, I have learned by building across diverse domains: solving legacy network problems, working on full-stack observability platforms, speaking with 50+ stakeholders, and creating systems like realtime course generators, 1-bit language model experiments, source-of-truth platforms, and edge-to-interface digital twins. Along the way, I have also helped early-stage startups move from 0 to 1 with sharper products, stronger systems, and faster execution.
Experiments
network
telecom
robot
education
data center
chips
bio
quantumResearch & Papers
Blue Model Foundational model research outside conventional autoregressive LLM assumptions; representation learning, compact reasoning, and non-standard training objectives. ↗ Quantum Key Distribution Engine Q-to-Q secure transfer model over 200 km fiber with measurable channel loss; key-rate analysis, attenuation, and post-quantum transport design. ↗ CVE Remediation Graph RAG-driven vulnerability remediation across heterogeneous device fleets; exploit context, patch mapping, risk ranking, and operator-grade resolution paths. ↗ Closed Router Context-switching model router with deterministic policy control; lower-latency routing, capability matching, and private inference orchestration beyond OpenRouter-style brokering. ↗ RISC-V Chip Digital Twin Executable digital twin for RISC-V chip behavior; telemetry simulation, edge diagnostics, instruction-path modeling, and hardware-aware observability. ↗ Zero-Shot Vision Trainer Alternative visual training regime for generalization without dense labeled datasets; semantic anchors, synthetic supervision, and transfer-time adaptation. ↗ Null Agent Swarm Lightweight agentic swarm architecture for constrained environments; stateless coordination, minimal memory pressure, and distributed task decomposition. ↗ Bit LM One-bit language model exploration for minimal compute systems; quantized inference, tiny-device deployment, and extreme memory efficiency. ↗Archive
Changelog
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Launched this interactive AI engineer portfolio with draggable archive pieces and case-study cards.
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Built an agentic support system for ticket triage, retrieval, response drafting, and escalation.
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Shipped a vision ops monitor for realtime anomaly detection across image and video workflows.
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Designed RAG evaluation flows for answer faithfulness, citations, confidence scoring, and model review.
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Started documenting AI experiments across networks, telecom, robotics, education, chips, bio, and quantum systems.






