Skills

Code Reading: 10/10 · Code Writing: 9/10 | Type: Multi-Paradigm, Scripting, Scientific & AI Engineering

Code reading: 10/10 · Code writing: 9/10 — core language for deep learning architectures, asynchronous web microservices, computer vision pipelines, and test suites.

PythonAsyncIOuvPydanticPyTorchOpenCV

Code Reading: 10/10 · Code Writing: 9.5/10 | Type: Object-Oriented, Strongly Typed, Systems & Enterprise

Code reading: 10/10 · Code writing: 9.5/10 — type-safe, high-performance object-oriented programming for mission-critical trading engines and enterprise systems.

C#LINQType SystemsObject-Oriented ProgrammingAsync/Await

Code Reading: 9/10 · Code Writing: 8/10 | Type: Statically Typed JavaScript Superset, Full-Stack

Code reading: 9/10 · Code writing: 8/10 — strictly typed full-stack development, React component contracts, Next.js App Router integrations, and AST tooling.

TypeScriptJavaScriptNode.jsType Systems

Code Reading: 9/10 · Code Writing: 7/10 | Type: Systems Programming & Low-Level Architecture | Paradigms: RAII, Memory Management, STL

Code reading: 9/10 · Code writing: 7/10 — systems programming, memory management, STL containers, pointers, RAII, and algorithmic problem solving.

C++STLMemory ManagementPointersAlgorithms

Code Reading: 9/10 · Code Writing: 6/10 | Type: Concurrent, Compiled, Systems & Cloud-Native

Code reading: 9/10 · Code writing: 6/10 — goroutines, concurrency channels, gRPC APIs, low-overhead microservices, and network tooling.

GoGolanggRPCConcurrencyMicroservices

Code Reading: 9/10 · Code Writing: 7/10 | Type: Client-Optimized Language, Object-Oriented, Sound Null Safety

Code reading: 9/10 · Code writing: 7/10 — strongly typed, client-optimized OOP language with sound null safety, async streams, and AOT/JIT compilation.

DartSound Null SafetyAsync StreamsIsolatesOOP

Agentic Development: 10/10 · AI-Assisted Development: 9.5/10 · Independent Development: 9.5/10 | Type: Enterprise Application Framework & Web Runtime

Agentic: 10/10 · AI-Assisted: 9.5/10 · Independent: 9.5/10 — .NET Core (.NET 3.1, .NET 6, .NET 8), ASP.NET Core, enterprise backend services, microservices, clean architecture, CQRS, and EF Core.

.NET Core.NET 3.1.NET 6.NET 8ASP.NET CoreOpenIddict+2

Agentic Development: 10/10 · AI-Assisted Development: 9.5/10 · Independent Development: 9.5/10 | Type: High-Performance API Framework & ASGI Runtime

Agentic: 10/10 · AI-Assisted: 9.5/10 · Independent: 9.5/10 — FastAPI, Uvicorn ASGI server, asynchronous background workers, Pydantic schemas, and streaming endpoints.

FastAPIUvicornREST APIsAsyncIOPydantic

Agentic Development: 9/10 · AI-Assisted Development: 7/10 · Independent Development: 5/10 | Type: Express-Inspired Web Framework on Fasthttp for Go

Agentic: 9/10 · AI-Assisted: 7/10 · Independent: 5/10 — high-performance, low-memory Go web framework built on Fasthttp for low-latency APIs and microservices.

FiberGoFasthttpREST APIsMicroservices

Agentic Development: 9/10 · AI-Assisted Development: 8/10 · Independent Development: 6/10 | Type: React Production Framework & Full-Stack Web Architecture

Agentic: 9/10 · AI-Assisted: 8/10 · Independent: 6/10 — Next.js App Router, React Server Components, server actions, dynamic routing, and frontend architecture.

Next.jsReactTypeScriptJavaScriptHTML/CSSnpm

Agentic Development: 10/10 · AI-Assisted Development: 9/10 · Independent Development: 7/10 | Type: Multi-Platform UI Framework & State Architecture

Agentic: 10/10 · AI-Assisted: 9/10 · Independent: 7/10 — cross-platform UI framework, BLoC pattern, Cubit state management, clean architecture, and custom render trees.

FlutterBLoCCubitState ManagementDartCross-Platform

Agentic Development: 10/10 · AI-Assisted Development: 9/10 · Independent Development: 7/10 | Type: Server-Side JavaScript Runtime & Microservices

Agentic: 10/10 · AI-Assisted: 9/10 · Independent: 7/10 — Server-side JavaScript runtime, event-driven concurrency, REST APIs, and asynchronous microservices.

Node.jsJavaScriptREST APIsnpm

Level: 9/10 | Type: Deep Learning Framework & Tensor Acceleration | Ecosystem: Dynamic Computational Graphs, CUDA Kernels, TorchScript & PyTorch 2.x

9/10 level — dynamic computational graphs, CUDA GPU tensor acceleration, autograd, custom loss functions, mixed-precision inference, and zero-shot model execution.

PyTorchCUDANVIDIA GPUAutogradMixed Precision

Level: 7/10 | Type: High-Performance Deep Learning Inference SDK | Platform: NVIDIA GPUs, Engine Serialization & FP16/INT8 Quantization

7/10 level — NVIDIA TensorRT inference optimization, FP16/INT8 precision calibration, serialized engine building, and GPU inference acceleration.

TensorRTCUDANVIDIA GPUModel OptimizationFP16/INT8

Level: 7/10 | Type: Open Neural Network Exchange & Inference Runtime | Platform: Cross-Platform Execution, Graph Optimization & Hardware Execution Providers

7/10 level — ONNX format conversion, cross-platform model interoperability, ONNX Runtime graph optimizations, and Execution Provider integration.

ONNXONNX RuntimeModel ExportCross-Platform Inference

Level: 7/10 | Type: High-Performance Numerical Computing & ML Framework | Paradigm: Composable Function Transformations, Autograd & XLA Compilation

7/10 level — composable function transformations (grad, jit, vmap), XLA GPU compilation, functional pure-state ML modeling, and numerical research.

JAXXLAFunctional MLAutogradVectorization

Level: 7/10 | Type: On-Device Lightweight Inference Runtime (formerly TFLite) | Target: Edge Devices, Mobile, Embedded & CPU/NPU Acceleration

7/10 level — Google LiteRT (formerly TensorFlow Lite) on-device runtime, post-training quantization, flatbuffer model deployment, and edge execution.

LiteRTTensorFlow LiteOn-Device InferenceEdge AIQuantization

Level: 5/10 | Type: Machine Learning & Deep Learning Ecosystem | Paradigm: Keras High-Level APIs, SavedModel Formats & Graph Execution

5/10 level — foundational TensorFlow / Keras layer architectures, SavedModel serialization, dataset pipelines, and legacy model migration.

TensorFlowKerasSavedModeltf.data

Type: Evolutionary Computation Library | Platform: PyTorch-Accelerated Neuroevolution & Population Search

PyTorch-accelerated evolutionary computation, GPU-accelerated population rollouts, and gradient-free policy optimization.

EvoTorchPyTorchGenetic AlgorithmsEvolution StrategiesReinforcement Learning

Type: Distributed Python Compute Framework | Ecosystem: Actor-Based Concurrency, Parallel Rollouts & Workload Scaling

Distributed Python compute framework, actor-based concurrent rollouts, distributed population evaluations, and parallel task scaling.

RayPythonParallel ComputingDistributed Execution

Type: Agentic LLM Orchestration & Tool Use | Ecosystem: LangChain, Multi-Agent Workflows, Document Parsers & Prompt Engineering

Agentic LLM application development, multi-agent chains, dynamic tool invocation, document loaders, and semantic reasoning workflows.

LangChainLLMsAgentic AIPrompt EngineeringPythonStructured Output Parsing

Type: Semantic Retrieval & Knowledge Distillation | Ecosystem: Vector Embeddings, Hybrid Search, Context Reranking & Model Distillation

RAG architecture, vector search retrieval, hybrid keyword/semantic search, context window optimization, and knowledge distillation for domain-adapted LLMs.

RAGKnowledge DistillationVector SearchEmbeddingsHybrid SearchCosine Similarity

Design: 10/10 · Support: 10/10 | Type: Relational Database Management System (RDBMS)

Design: 10/10 · Support: 10/10 — relational schema architecture, normalized design, complex query optimization, partitioning, and 24/7 mission-critical operational support.

PostgreSQLSQLQuery OptimizationPgBouncerPartitioning

Design: 10/10 · Support: 10/10 | Type: NoSQL In-Memory Key-Value Store & Distributed Cache

Design: 10/10 · Support: 10/10 — proficiency across all data structures (Strings, Hashes, Lists, Sets, Sorted Sets, Streams, Bitmaps), Redis Cluster master-slave replication, Sentinel failover, and high-throughput low-latency telemetry caching in VERSEYE.

RedisNoSQLKey-ValueIn-Memory CachingPub/SubData Structures+10

Design: 9/10 · Support: 8/10 | Type: NoSQL Document-Oriented Database

Design: 9/10 · Support: 8/10 — flexible BSON document schema design, aggregation pipelines, compound indexing, and replica set operational support.

MongoDBNoSQLDocument StoreAggregation Framework

Level: 8/10 | Type: Fully Managed NoSQL Database | Focus: Single-Table Architecture, Composite Partition/Sort Keys & Sub-10ms Latency

8/10 level — Amazon DynamoDB single-table design, partition and sort key modeling, GSIs/LSIs, DynamoDB Streams, and auto-scaling throughput.

Amazon DynamoDBNoSQLSingle-Table DesignDynamoDB StreamsAWS

Type: In-Memory Database Service | Engine: Redis-Compatible, Multi-AZ Transaction Log

Amazon MemoryDB for Redis — ultra-fast in-memory performance with Multi-AZ durability and microsecond latency for trading and fintech workloads.

AWS MemoryDBRedisAWSIn-Memory Database

Design: 8/10 · Support: 8/10 | Type: Time-Series Database & SQL Engine | Focus: PostgreSQL Hypertables, Chunk Compression & Continuous Aggregates

Design: 8/10 · Support: 8/10 — TimescaleDB hypertables, high-frequency tick compression, continuous aggregates, and low-latency market data downsampling.

TimescaleDBPostgreSQLTime-SeriesHypertablesContinuous Aggregates

Design: 10/10 · Support: 10/10 | Type: Vector Similarity Search Extension for PostgreSQL | Focus: HNSW & IVFFlat Indexes, Dense Vector Search & RAG Memory

Design: 10/10 · Support: 10/10 — high-dimensional vector similarity search in PostgreSQL, HNSW / IVFFlat indexing, cosine distance, and multimodal embedding retrieval.

pgvectorPostgreSQLVector SearchHNSWCosine DistanceEmbeddings

Design: 9/10 · Support: 8/10 | Type: Dedicated Vector Search Engine & Database | Focus: Payload-based Filtering, Fast Approximate Nearest Neighbor (ANN) & Collection Management

Design: 9/10 · Support: 8/10 — Qdrant vector database, payload-based metadata filtering, approximate nearest neighbor (ANN) search, and multimodal search engines.

QdrantVector SearchPayload FilteringANN SearchgRPCEmbeddings

Type: High-Performance Distributed S3-Compatible Object Storage | Architecture: Multi-Tenant Buckets, Evidence Streaming & Frame Archival

Distributed S3-compatible object storage via MinIO SDK, frame and video evidence persistence, high-concurrency upload/download streaming, and bucket lifecycle policies.

MinIOMinIO SDKS3 APIObject StorageDistributed Systems

Design: 9/10 · Support: 8/10 | Type: Native Graph Database & Cypher Query Engine | Focus: Connected Knowledge Graphs, Traversal & Property Graphs

Design: 9/10 · Support: 8/10 — graph database architecture, Cypher query optimization, labeled property graph modeling, and relationship traversal.

Neo4jCypherGraph TraversalProperty GraphsGraph Modeling

Level: 8/10 | Type: Serverless Event Bus & Event Router | Focus: Event Routing, Rule Matching & Microservice Decoupling (Ktrade Learn to Invest)

8/10 level — serverless event routing, rule-based event pattern matching, schema registry, and asynchronous microservice integration (used in Ktrade Learn to Invest platform).

AWS EventBridgeEvent BusServerlessAWS LambdaEvent RoutingMicroservices

Proficiency: 5/5 | Type: High-Performance Distributed Message System & Persistence Engine

Proficiency: 5/5 — high-throughput, microsecond-latency messaging, NATS JetStream distributed persistence, subject-based routing, and cluster mesh.

NATSNATS JetStreamPub/SubDistributed MessagingGo

Proficiency: 4.5/5 | Type: Lightweight Publish/Subscribe Messaging Protocol

Proficiency: 4.5/5 — lightweight edge publish/subscribe, hierarchical topic topologies, QoS guarantee negotiation (0/1/2), and real-time telemetry pipelines.

MQTTEMQX / MosquittoEdge TelemetryPublish/SubscribeProtocols

Proficiency: 4.5/5 | Type: Distributed Event Streaming Platform

Proficiency: 4.5/5 — distributed event streaming, partitioned topic commit logs, consumer group scalability, offset management, and fault-tolerant ingestion.

Apache KafkaEvent StreamingTopic PartitionsConsumer GroupsDistributed Systems

Handling: 10/10 | Type: Containerization Platform & Multi-Service Orchestration

Handling: 10/10 — multi-container developer environments, service topology, volume mounts, network bridging, and container lifecycle orchestration.

DockerDocker ComposeuvnpmBash

Handling: 10/10 | Type: Container Orchestration Platform | Ecosystem: Kubernetes, Amazon EKS, Helm

Handling: 10/10 — production Kubernetes cluster orchestration, Helm charts, Ingress routing, Horizontal Pod Autoscaling (HPA), and zero-downtime rolling deployments.

KubernetesAmazon EKSDockerHelmCI/CDAWS

Handling: 9/10 | Type: Native Docker Cluster Management & Container Orchestration Engine

Handling: 9/10 — Docker Swarm multi-node clustering, service discovery, overlay networking, rolling updates, and lightweight container orchestration.

Docker SwarmDockerOverlay NetworksContainer ClusteringDevOps

Handling: 9/10 | Type: Version Control System | Workflows: Git, GitHub, Monorepo Management

Handling: 9/10 — distributed version control, multi-project monorepo structures, branch policies, and GitOps automation.

GitGitHubMonorepo ArchitectureGitOps

Type: Multimedia Framework & Live Video Streaming Protocols | Pipelines: MJPEG, RTSP, RTMP

FFmpeg media processing, MJPEG multipart streaming at 24+ FPS, RTSP/RTMP camera feeds, and video transcoding.

FFmpegReal-Time Video StreamingMJPEGRTSPOpenCV VideoIO

Type: Test Automation Framework | Practices: Unit Testing, Mocking, Regression Suites

pytest fixtures, parameterized unit testing, mock backends, and automated regression suites.

pytestUnit TestingIntegration TestingMock Fixtures

Type: .NET Unit & Integration Test Framework | Practices: Test-Driven Development, Mocking, Async Test Doubles

xUnit.net test authoring for .NET services: TDD suites, theory-driven data cases, async test doubles, and CI-enforced regression coverage.

xUnit.netUnit TestingTest-Driven DevelopmentMockingCI Coverage Gates

Type: Flutter End-to-End & Integration Test Framework | Practices: Native Drivers, Multi-Device Test Runs, CI Automation

Patrol-driven end-to-end testing for Flutter apps: declarative test bundles, native-driver interaction with platform widgets, and multi-device runs in CI.

PatrolFlutterDartEnd-to-End TestingNative DriversCI Automation

Type: Browser End-to-End & Component Test Automation | Practices: Cross-Browser Runs, Network & Visual Assertions, Parallel Execution

Playwright browser automation for web frontends: cross-browser end-to-end flows, network and visual assertions, and parallel suites running in CI.

PlaywrightEnd-to-End TestingCross-Browser TestingComponent TestingTrace Viewer

Type: In-House Cross-Language Test Harness | Practices: Polyglot Runtime, Unified Runner, Shared Fixtures & Reporting

An in-house test framework built on a polyglot stack, running and reporting suites written across Go, C#, and Python from one harness.

Custom Test FrameworkPolyglot StackGoC# / .NETPythonTest Orchestration+2

Agentic Development: 9/10 · AI-Assisted Development: 8/10 · Independent Development: 6/10 | Type: Microfrontend Architecture & Webpack Module Federation

Agentic: 9/10 · AI-Assisted: 8/10 · Independent: 6/10 — Module Federation, dynamic remotes, shared state orchestration, and isolated team frontends.

Type: Systems Architecture & Domain Modeling | Design: Polyglot Microservices & Event Streams

Polyglot microservices, event-driven pipelines, clean architecture, and high-concurrency systems.

Type: Distributed Systems Architecture | Focus: Domain Decomposition, Event-Driven Services & API Gateways

Decoupled polyglot microservice architectures, domain boundaries, inter-service gRPC/messaging, and independent service lifecycles.

MicroservicesDockerKubernetesgRPCREST APIsNATS

Type: Concurrency & Event Loops | Technologies: Python asyncio, Uvicorn, Non-blocking I/O

High-concurrency asynchronous execution, event loops, non-blocking I/O, background task queues, and async stream processing.

AsyncIOPythonFastAPIConcurrencyEvent Loops

Type: Front-End Architecture | Focus: Independently Deployed Micro-Apps, Team-Level Ownership & Runtime Composition

Microfrontend architectures where independently owned and deployed frontends are composed at runtime by a host shell, so teams ship on their own cadence.

Micro FrontendsDomain-Based SplittingRuntime CompositionShared State ContractsIndependent Deployment

Type: API Design & Web Interfaces | Protocols: HTTP/HTTPS, OpenAPI / Swagger, JSON

Designing robust, stateless RESTful APIs, OpenAPI/Swagger specifications, resource hierarchies, and versioned client contracts.

REST APIsFastAPIOpenAPIJSONHTTP

Type: High-Performance RPC & Serialization | Protocols: gRPC, HTTP/2, Protocol Buffers

High-performance inter-service RPCs, strongly-typed Protocol Buffer schemas, bi-directional streaming, and low-latency microservice communication.

gRPCProtocol BuffersProtobufHTTP/2GoPython

Type: .NET Microservices API Gateway | Capabilities: Request Routing, Aggregation, Rate Limiting, Authentication & Middleware

High-performance .NET API Gateway, downstream request routing, response aggregation, rate limiting, and JWT/claims authentication.

Ocelot.NET CoreASP.NET CoreAPI GatewayReverse ProxyMicroservices+1

Type: Managed Cloud API Gateway | Capabilities: REST & WebSocket APIs, Lambda Integration, API Keys, Throttling & Usage Plans

Managed cloud API management, RESTful and HTTP API gateway endpoints, AWS Lambda proxy integrations, usage plans, and rate throttling.

AWS API GatewayAWS LambdaREST APIsAWSServerlessAPI Management+1

Type: Enterprise Security & Federation | Protocols: SAML 2.0, OpenID Connect, OAuth 2.0

SAML 2.0 IdP/SP federation, OpenID Connect, OAuth2, X.509 signatures, and enterprise SSO.

Type: Soft Skill & Leadership | Competencies: Technical Direction, Team Leadership, Sprint Delivery, Mentorship, Cross-Functional Alignment

Engineering squad leadership, team mentorship, microservices architecture governance, cross-functional collaboration, and technical hiring.

Engineering LeadershipTeam MentorshipAgile / ScrumTechnical ArchitectureCode Review

Type: Durable Workflow Orchestration | Ecosystem: Temporal.io, Python SDK, Activity Workers, Workflow Retries & State Persistence

Durable, fault-tolerant workflow orchestration for long-running ML pipelines, automated retraining loops, and distributed background processing.

Temporal.ioPython SDKActivity WorkersWorkflow RetriesState Persistence

Type: AI Orchestration SDK | Ecosystem: Microsoft Semantic Kernel, .NET / Python, Plugins, Planners & Native Function Calling

AI orchestration SDK for composing LLM-powered agents, plugins, and planners within .NET and Python ecosystems.

Microsoft Semantic Kernel.NETPythonPluginsPlannersMemory Connectors

Type: Stateful Agent Graph Framework | Ecosystem: LangGraph, LangChain, Python, Cyclic Graphs & Checkpointing

Stateful, cyclic multi-agent graph orchestration for building resilient, branching AI agent pipelines with checkpointing.

LangGraphLangChainPythonCyclic GraphsCheckpointingState Machines