Hey, I'm Kai.
I specialize in architecting Agentic AI systems
and LLM-powered applications
over the past 3+ years to drive business impact.
Python
C++
Rust
Go
PyTorch
JAX
OpenAI
Hugging Face
NVIDIA
Anthropic
vLLM
DeepSpeed
ONNX
LangChain
LlamaIndexPythonC++RustGoPyTorchJAXOpenAIHugging FaceNVIDIAAnthropicvLLMDeepSpeedONNXLangChainLlamaIndex
Kafka
PostgreSQL
Kubernetes
Docker
Terraform
Neo4j
Redis
AWS
Prometheus
ClickHouse
Milvus
Pinecone
PySpark
Flink
ArgoCD
IstioKafkaPostgreSQLKubernetesDockerTerraformNeo4jRedisAWSPrometheusClickHouseMilvusPineconePySparkFlinkArgoCDIstioCUDA
FlashAttention-2
Triton
eBPF
gRPC
MQTT
OpenTelemetry
SNMP v3
NetFlow
OPC-UA
NETCONF
perf
SPARQLCUDAFlashAttention-2TritoneBPFgRPCMQTTOpenTelemetrySNMP v3NetFlowOPC-UANETCONFperfSPARQL
Selected works
23-25Proviz: Hyperpersonalised learning system powered by Adaptive AI
shipped
Astrix: Fullstack Observability and Autonomous Optimization Tool
shipped
Shared Success:
Stories of Impact
& Collaboration
Rohit Banga
CTO, Kitsa.ai
I had the pleasure of working with Kai as our AI engineer and would recommend him without hesitation. He has a sharp product mindset, quickly understands complex journeys, and turns them into clear, intuitive experiences. His technical skills are excellent; he's calm and collaborative to work with, and his work consistently elevates the final design. Any team would be lucky to have him.
Mridul Kathuria
Senior Specialist - Growth, Hevo Data
I had the chance to work closely with Kai, and he truly stands out as a hardworking and thoughtful engineer. He has a sharp eye for user journeys, always designing with the end-user in mind, which led to consistently responsive and intuitive experiences. What really adds to his edge is his analytical approach — he backs his decisions with data, ensuring they're both aesthetically pleasing and functional.
Upwork Client
Great Work !! Good Creativity, Understands the requirements and delivers on time. Must hire AI and Fullstack developer.
Ramraj Ronil Sharma
CEO, Freshway Mega Mart Pvt. Ltd.
Kai has worked with our company for a year. Throughout his stay with our company, his dedication to complete delegated task in an extremely creative way always impressed me. He was always willing to learn new things, and find innovative way to solve the given tasks. His sheer curiosity to explore new ways and designs to incorporate in the branding tools for our company was something I still remember of him. I truly believe any person with such zeal to learn and perseverance to make his task as fine as possible can do wonders, at any place he works. I wish Kai the best.
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Sabin Subedi
CTO, Freshway Mega Mart Pvt. Ltd.
Amazing hardworking guy. He is a perfectionist and really cares about details. Throughout his time at Freshway he was an amazing engineer and he later learnt Advanced AI systems and optimization.
Sudip Bhusal
Fellow Designer
Kai is one of the best person I had opportunity to work with. He had that burning passion and curious sight that just make any challenge look small. He has a knack to learn new things. I have seen the growth of this man first hand, and it also inspired me to grow. I learned many things from him about life and engineering.
I don't follow a rigid framework, my process adapts to the problem, moving from understanding to shipping through collaboration
Research
Gaining an understanding of the problem and our customers, gathering relevant data and context
Problem definition
After getting more context, going a step further to properly frame the problem that I'm trying to solve
User journey mapping
Before getting into the design exploration, taking the time to map out the user journeys & stories
Design explorations
Exploring various possible design solutions and seeking feedback from relevant stakeholders
Usability testing
After settling on some design directions, carry out usability tests with users to test ease of use
Handoff and monitoring
Handing off all design-related assets to developers as well as monitoring relevant performance
Research & Experiments
Impact goes beyond the model. Exploring the frontiers of Agentic AI: from 1-bit quantization to quantum-classical hybrids and universal multimodal encodings.
1bit-LLM: Extreme Quantization
Implementing BitNet b1.58 for high-performance, low-cost LLM inference on edge devices.
Efficiency Frontier
A deep dive into ternary weights and the elimination of traditional multiplication in transformer blocks.
Q-Logic: Quantum Hybrid models
Merging qubit-based logic gates with classical neural architectures for complex reasoning.
Quantum Supremacy
Exploring how variational quantum circuits can provide exponential speedups for optimization tasks.
OmniSync: Universal Encoding
Propelling all data modalities into a single, unified latent space for seamless cross-domain reasoning.
The Unified Space
Architecting a shared encoding platform that treats text, vision, and audio as a single continuous signal.
Sparse-X: Infinite Context
Optimizing attention kernels to handle million-token context windows with linear scaling.
Linear Scaling
Implementing Flash-Attention-3 and sparse-matrix optimizations for long-range dependency modeling.
Neuro-Symbolic Reasoning
Combining LLMs with formal logic for zero-shot mathematical proofs and software verification.
Formal Proofs
Bridging the gap between neural intuition and symbolic rigor for high-stakes AI applications.
Agent-Zero: Recursive Loop
Developing autonomous agents that continuously self-optimize their own code and tool usage.
Self-Optimization
Architecting a feedback loop where agents learn to build their own tools and refine strategies.
Real-Time Latent Diffusion
Accelerating video generation to 60fps through optimized latent space denoisers.
Instant Vision
Leveraging TensorRT and custom CUDA kernels for sub-millisecond generation times.
Bio-Synthetic Synapses
Simulating biological synaptic plasticity in silicon to achieve extreme learning efficiency.
Synaptic Efficiency
Modeling Hebbian learning rules within standard neural network training frameworks.
Differentiable Search Index
Transforming Retrieval Augmented Generation (RAG) into internal model weight memory.
Neural Retrieval
Eliminating external databases by teaching models to navigate their own parameter space as an index.
Start a Conversation
No gatekeepers here just open channels. Whether you want to discuss the future of Agentic AI, book an AI strategy session, or simply critique my latest LLM fine-tuning, I'm always up for a chat.