Tech Lead | Blockchain, AI, Cloud Platforms

Bengaluru, India

lakshyakumar.github.io/lakshyakumar

Engineering leader with 7+ years of experience building production blockchain platforms, AI systems, and cloud-native backend services. Expertise spans EVM ecosystems, Provenance Blockchain, tokenization, custodial wallets, ERC-4337 account abstraction, RAG systems, and MCP-compatible AI tooling. Proven track record delivering scalable production systems, reducing release cycles by 80%+, maintaining 99.9% uptime, and leading teams of 5 to 15+ engineers across fintech, enterprise, and open-source environments.

• Current role: Tech Lead (Contract) at Payram — self-hosted crypto payments platform in Go (Oct 2025 – Present)
  • Leading architecture, implementation, deployment, and production rollout of the payments platform.
  • Built and launched a production wallet and payments application supporting live transaction execution.
• Previous role: VP, Web3 & AI Solutions at Formidium (Feb 2024 – Oct 2025)
  • Managed containerized deployment through AWS CodePipelines, using AWS CodeCommit, GitHub Actions, ECR, ECS, CodeBuild, and created the infrastructure using Terraform and CloudFormation.
  • Architected a fund tokenization platform on EVM and Provenance Blockchain and built an enterprise RAG chatbot with LangChain, LangGraph, and Next.js.
• Education: M.Tech in Computational Mathematics, NIT Surathkal
• Core strengths: blockchain architecture, AI/RAG systems, cloud infrastructure, production reliability, team leadership
• Deep interests: crypto rails, ERC-4337 account abstraction, key custody, ZKPs, MCP tooling, developer productivity

Languages JavaScript, TypeScript, Python, Go, Solidity, Rust

Backend & Frameworks Node.js, React, Next.js, REST APIs, Microservices, LangChain, LangGraph, CrewAI, PydanticAI

Blockchain EVM, Provenance Blockchain, Hyperledger Fabric, Hyperledger Besu, Polygon, Avalanche, ERC-1400, ERC-4337, Account Abstraction, Smart Contract Wallets, Tokenization, Cross-chain Bridges

AI & Agent Systems RAG, Semantic Search, Vector Databases, AI Memory Systems, MCP, MCP Servers, AI Tool Orchestration, Context Management

Cloud, DevOps & Reliability AWS (ECS, EC2, Lambda, S3, ECR, CodeBuild, CodePipeline), Docker, Kubernetes, GitHub Actions, Jenkins, CI/CD, GitOps, Zero-downtime deployments, Failover design, Monitoring, Alerting

Leadership & Delivery Technical Architecture, Team Leadership, Mentorship, Cross-functional Collaboration, Delivery Management

Repository Intelligence MCP server for coding agents. Provides structured codebase context, semantic search across repos, and tool-based access patterns for AI-assisted development workflows.

Full-spectrum market intelligence Claude Skill for founders — Lean Canvas extended with competitor analysis, validation frameworks, and strategic clarity. Accepted use in the Claude skills ecosystem.

Context-aware AI agent built on LangGraph and PydanticAI. Searches the web, answers queries, builds knowledge bases, and maintains conversational context with token budgeting and dynamic subgraph switching.

FastAPI-based AI agent that scrapes URIs, answers queries, and creates persistent knowledge bases using LangGraph and PydanticAI.

Production AI assistant for document question answering using LangChain and LangGraph. AI rephrases and simplifies queries before vectorized search for improved retrieval accuracy.

Curated learning resource and reference implementations for LangGraph-based agent systems.

Live web application for structured technical challenges and tooling experiments.

MCP server implementation in TypeScript for structured AI tool delivery and context management.

AI agent for movie discovery, recommendations, and knowledge retrieval workflows.

Open-source accelerator for production-ready distributed ledger deployment on Kubernetes. Contributed deployment pipelines for Fabric, Besu, and Quorum.

Fund tokenization platform across EVM-compatible and Provenance chains using ERC-1400 — staking, sales, and token contract architecture.

Step-by-step exploration and practical implementation of smart contract wallets and account abstraction patterns using Solidity.

Lightweight TypeScript/ethers.js wrapper for cleaner smart contract interaction and improved developer ergonomics. Published to npm.

React and Next.js hook library for blockchain interfaces and wallet-connected applications. Published to npm.

Production-ready Next.js + Tailwind + Mongoose starter with authentication, TypeScript, and clean project structure.

Enterprise-grade NestJS boilerplate with Mongoose, TypeScript, and modular architecture.

Comprehensive interview preparation roadmap covering system design, data structures, and engineering concepts. Live on GitHub Pages.

I write about hard technical ideas in ways engineering teams can actually use. Topics include:

• Crypto payments infrastructure and settlement workflows
• ERC-4337 account abstraction and smart contract wallet design
• Blockchain architecture, tokenization, and custody systems
• RAG systems, AI tooling, MCP servers, and developer automation

• AWS Certified Cloud Practitioner (Amazon Web Services)
• Building AI-Powered Search with MongoDB Vector Search (MongoDB, 2025)
• Building RAG Apps Using MongoDB (MongoDB, 2025)

• M.Tech in Computational Mathematics — NIT Surathkal
• B.Tech — Delhi Technological University

• Author of technical articles on account abstraction, AI tooling, vector search, blockchain systems, and developer tools.
• Active contributor to open-source blockchain and developer tooling ecosystems.

• Senior engineering, tech lead, solutions architect, and architecture roles in fintech, crypto, AI, and backend systems
• Advisory and product engineering work in payments, tokenization, and applied AI
• Conversations around crypto rails, developer tooling, custody infrastructure, and MCP/AI agent systems

• Portfolio: lakshyakumar.github.io/lakshyakumar
• LinkedIn: https://linkedin.com/in/lakshya-kumar-52735737
• Email: lklsquare@gmail.com
• GitHub: https://github.com/lakshyakumar