Hi, I'm Sukhbeer Kumar.
AI Software Engineer • Forward Deployed Engineer • Systems Architect
I build production-grade AI, agentic systems, enterprise platforms, and distributed software from problem discovery through production.
Production Engineering Metrics & Benchmarks
Engineering Profile & Core Focus
Production-focused AI Software Engineer and Forward Deployed Engineer with 12+ years of hands-on experience designing, hardening, and deploying autonomous agent systems, distributed backend infrastructure, and high-concurrency client applications.
Who Am I?
An AI Software Engineer, Forward Deployed Engineer (FDE), and Systems Architect with 12+ years of production experience. I operate at the intersection of applied generative AI models, distributed transaction platforms, and resilient client runtimes.
What Do I Build?
Production-grade autonomous AI agent control planes (MCP), high-throughput distributed microservices (Go 1.22, PostgreSQL ACID, Redis), and low-latency client applications (Flutter, Kotlin) that perform reliably under real-world operational constraints.
Engineering Philosophy
Determinism over hype. Code over slides. Build for failure tolerance, enforce hard token and compute budgets, preserve data sovereignty, and maintain strict cryptographic audit trails across all automated actions.
What Am I Looking For?
Full-time AI Software Engineer, Forward Deployed Engineer (FDE), or Systems Engineer / Architect roles where I can take technical ownership from problem discovery to hardened production scale.
Three Dimensions of Technical Ownership
1. AI & Agentic Systems
Model Context Protocol (MCP) server architectures, deterministic tool calling, token FinOps, context window trimming ($O(N^2)$ explosion prevention), dynamic model routing, and prompt defense layers.
2. Distributed Platforms & Core
High-concurrency Go 1.22 microservices, PostgreSQL ACID row-level locking, Redis event streams, idempotent state machines, private edge deployments, and 21 CFR Part 11-aligned audit controls.
3. Client & Edge Telemetry
Flutter with background Dart Isolates (SSE token streaming at steady 60 FPS), native Kotlin BLE GATT state machines, zero frame drops, and local-first SQLite write-ahead logging.
Applied AI & Systems Engineering Capabilities
Bridging the gap between cutting-edge generative AI models and battle-tested production infrastructure.
Autonomous Agents & MCP Control Planes
Model Context Protocol (MCP) server integration with strictly typed tool schemas. Hard context window governance to prevent $O(N^2)$ token explosion. Resilient state recovery and idempotent retry loops for long-running autonomous workflows.
Production AI Engineering & Reliability
High-throughput Server-Sent Events (SSE) token chunk decoders. Dynamic model routing with automated fallback providers and circuit breakers. Semantic prompt caching, client-side cancellation tokens, and prompt defense layers.
Distributed Systems & Edge Infrastructure
High-performance microservices in Go 1.22 and Node.js. PostgreSQL row-level ACID locking, Redis event queues, and background worker pools. Cloudflare Workers, Caddy TLS reverse proxies, Docker, and bare-metal orchestration.
All production AI systems run on self-hosted hardware with strict data sovereignty boundaries.
Flagship Production Systems & Projects
Myndrix Core — Autonomous AI Operations & Distributed Edge Control Plane
What It Is: Self-hosted enterprise operations core coordinating autonomous agent workflows, cleanroom inventory tracking, and double-entry accounting on private edge hardware with zero external SaaS dependencies.
Enterprise operations tools suffer from fragmented SaaS silos, runaway vendor costs, and brittle integrations that fail when automating mission-critical workflows across inventory and accounting.
Go 1.22 microservices communicating over Redis pub/sub event bus with PostgreSQL ACID transaction isolation, Dockerized on private Linux edge hardware with Caddy TLS reverse proxy. Challenge: Enforcing strict 21 CFR Part 11-aligned audit controls and transaction atomicity while enabling LLM agents to execute deterministic operational actions.
• Architected the Go 1.22 microservice core and Next.js 15 frontend from scratch.
• Designed the autonomous agent integration layer using Model Context Protocol (MCP) for deterministic tool invocation against operational databases.
• Implemented token budget enforcement, Redis job queues, and automated SQLite WAL / PostgreSQL state persistence.
Enterprise MCP Architecture — Deterministic Tool Calling & Guardrails
What It Is: Enterprise-grade Model Context Protocol (MCP) gateway providing strictly typed, role-scoped tool access with real-time policy evaluation and semantic prompt caching.
Production LLM agents routinely fail in enterprise environments due to unconstrained tool execution, context window poisoning, and lack of auditable access permissions on transactional databases.
Modular TypeScript MCP server interface sitting between LLM orchestration engines and internal enterprise APIs, backed by SQLite semantic caching and local Ollama inference fallback. Challenge: Evaluating real-time policy guardrails and dynamic context truncation in under 150ms per invocation without adding interactive latency.
• Authored custom MCP servers with role-scoped tool interfaces preventing unauthorized database mutations.
• Engineered context-trimming algorithms that reduced token consumption by 42% in internal agent benchmarks.
• Implemented real-time policy guardrail evaluation executing in under 150ms per tool invocation.
Production-Grade Mobile AI Streaming Engine
What It Is: High-performance mobile architecture for streaming LLM responses at steady 60 FPS with client-side cancellation tokens and local vector/semantic caching.
Directly calling LLM APIs from mobile apps causes UI stutter, dropped frames, and costly token waste when users navigate away mid-generation.
Dedicated Dart background worker Isolate handling raw HTTP/SSE byte stream transformation, communicating via typed message ports with Riverpod state management. Challenge: Managing concurrent isolate message passing and memory allocation without garbage collection pauses during rapid 100+ token/sec streams.
• Engineered background Dart Isolates for SSE byte stream chunking, isolating UI rendering from network ingestion.
• Implemented client-side cancellation tokens terminating upstream requests when widgets unmount, preventing wasted provider billing.
• Published comprehensive architectural guide adopted by 10,000+ mobile and AI developers.
PersonaCart — Multi-Tenant Marketplace Platform
What It Is: High-concurrency multi-tenant marketplace platform engineered with distributed optimistic concurrency locking and resilient Stripe + Razorpay checkout orchestration.
High-concurrency flash sales cause inventory race conditions, double-decrement bugs, and orphaned payment states across distributed vendors.
Multi-tenant repository pattern frontend on Flutter Web connected to distributed transaction services with Stripe Connect and Razorpay split-payment routing. Challenge: Guaranteeing idempotent order completion even when network partitions cause duplicate payment gateway webhooks or delayed client confirmations.
• Designed the checkout state machine (cart_locked → payment_initiated → webhook_confirmed → inventory_committed).
• Implemented idempotent webhook reconciliation tolerating out-of-order network confirmations without double-billing.
• Engineered optimistic concurrency locking on multi-vendor catalog tables.
Ideal Smart — Medical Telemetry & Resilient BLE Platform
What It Is: Healthcare IoT platform and resilient Android BLE GATT state machine engineered to overcome OEM battery doze policies and ensure continuous biometric ingestion.
Aggressive Android OEM battery optimization policies and GATT 133 disconnection errors routinely cause patient biometric data loss in clinical monitoring.
Foreground service with native Kotlin GATT connection manager, sequential command queue to prevent BLE race conditions, and local-first SQLite buffer syncing with cloud endpoints upon network availability. Challenge: Maintaining reliable 24/7 background biometric telemetry across diverse OEM Android devices without getting killed by OS power management.
• Developed native Android (Kotlin) GATT state machine with automatic exponential-backoff reconnects.
• Integrated Google Fit API and local SQLite buffer syncing 100K+ patient devices with zero packet loss.
• Implemented sequential GATT queue to prevent characteristic read/write collisions.
Engineering Track Record
Staff AI & Systems Architect | Tech Lead
ByteSigma Technologies — Pune / Remote
Architected Myndrix Core, a self-hosted operations engine and agent control plane (Go 1.22, Next.js 15 Standalone, PostgreSQL, Redis) running on private edge hardware with 21 CFR Part 11-aligned audit controls, eliminating recurring cloud SaaS costs.
Engineered autonomous agent control planes using Model Context Protocol (MCP) and real-time mobile AI streaming architectures with background Dart Isolates (SSE chunking with zero dropped UI frames).
Senior Mobile & Systems Architect
Dars Innovations — Noida
Architected the Filoo multi-vendor marketplace with Mangopay escrow rails, achieving zero transaction state drops through idempotent checkout state machines. Cut cold-boot latency by 28% through Clean Architecture with BLoC.
Senior Android & Systems Engineer (Kotlin/Java)
BrainMobi Technologies — Noida
Engineered the Ideal Smart healthcare platform with custom Bluetooth Low Energy (BLE GATT) auto-reconnection protocols for smart fitness wearables and diagnostic scales. Delivered 40+ production Android apps across global markets.
Engineering Leadership & Track Record
production systems engineering & architecture
shipped to production across global markets
private edge platforms with full data sovereignty
database migrations & idempotent transaction rails
Demonstrated track record leading cross-functional engineering teams, setting CI/CD standards, and driving high-velocity delivery across Healthcare, Fintech, and Enterprise Systems.
Featured Engineering Writing
Practical, code-heavy deep dives on agentic systems, MCP, cost governance, and production architecture.
Agent Execution Engines: State Machines, Retries, and Idempotency
Mobile & AIBuilding Production-Grade AI Features in Flutter: Architecture & Streaming
AI SystemsMCP Explained: The Architectural Integration Layer for AI Agents
AI FinOpsToken Budgets, Model Routing, and $O(N^2)$ Cost Controls
Developer ToolsWhy AI Agents Waste Tokens (And How Context Optimization Fixes It)
MediumI Wanted One AI to Control All My Other AI Agents
Open to AI Software Engineering, Forward Deployed Engineering & Systems Architecture Opportunities
Whether your organization needs an engineer to design resilient autonomous agent control planes, harden distributed transaction rails, or bridge customer problem discovery with production-grade code — let's connect.
Get In Touch
Available for full-time engineering roles (AI Software Engineer, Forward Deployed Engineer, Systems Engineer) and selective high-impact technical engagements.