abhijeet1988

I have a strong focus on the 🌐 Web3 and ☀️ Solana ecosystem — where high-performance systems, low-latency execution, decentralized protocols, and 🤖 AI-driven infrastructure intersect.

With 14+ years of engineering experience 🛠️ (6+ years leading teams 👥), I specialize in designing 🚀 high-throughput, fault-tolerant, AI-augmented systems — a mindset that maps directly to Solana’s parallel execution model, account-based architecture, and the emerging wave of agentic/AI-powered DeFi tooling.

🛰️ Solana Low-Latency Infrastructure — Flagship Builds (Rust 🦀)
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These five map directly to the Syncro mandate — validator submission path, QUIC/TPU ingress, shreds, MEV bundles, and tail-latency profiling. Each is a production-grade, hexagonal Rust workspace: async Tokio, GraphQL, resilience on every I/O boundary (timeout → retry+backoff → circuit breaker → rate limit), structured tracing + Prometheus metrics, flame-graph profiling, and full test + Criterion benchmark suites.

• ☀️ SolLander — Low-latency Solana transaction-landing service — https://github.com/ABHIJEET-MUNESHWAR/SolLander
   TPU/QUIC ingress, leader-aware rebroadcast, dual-path submission (direct-TPU + Jito bundles), AI-assisted routing advisor → the validator submission path itself.
• 📡 ShredStream — Turbine-style shred streaming ingest node — https://github.com/ABHIJEET-MUNESHWAR/ShredStream
   Shred dedup, FEC-set assembly with erasure-coded recovery of missing shreds, TTL eviction, inbound back-pressure + concurrency bulkhead → real-time shred / market-data streaming at scale.
• ⚡ QuicForge — QUIC / kernel round-trip latency lab — https://github.com/ABHIJEET-MUNESHWAR/QuicForge
   TPU-style concurrent QUIC RTT measurement, HDR-histogram p99/p99.9 tail, UDP socket-buffer tuning → networking + latency tuning and low-level profiling/benchmarking (perf, flamegraphs).
• 🛡️ BundleRelay — Jito-style MEV bundle relay — https://github.com/ABHIJEET-MUNESHWAR/BundleRelay
   Atomic, ordered bundles, validate + simulate + tip-rank, forward to a downstream block engine behind a full resilience stack → MEV relayers, bundles, block engines.
• 🔬 AgaveLens — Agave/Solana validator-internals analytics — https://github.com/ABHIJEET-MUNESHWAR/AgaveLens
   Slot-time / vote-latency / skip-rate percentiles (p50/p90/p99) via rayon data-parallel aggregation in spawn_blocking, GraphQL → deep validator/TPU internals + observability.

🌐 More Web3 & ☀️ Solana — Hands-on Building
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I’ve been actively shipping on Solana and EVM, with public repos demonstrating real, working systems:

• ☀️ Solana Programs (Anchor / Rust) — https://github.com/ABHIJEET-MUNESHWAR/solana-programs
   PDAs, CPI, account modeling, rent optimization, zero-copy serialization.
• 🔄 Jupiter Swap Integration — https://github.com/ABHIJEET-MUNESHWAR/jupiter-swap
   Quote → route → swap flow on Solana DEX aggregation.
• 🐂 BullSwap (AMM) — https://github.com/ABHIJEET-MUNESHWAR/BullSwap
   Liquidity pool + swap mechanics, constant-product math, slippage handling.
• ⚡ 0xDEX — https://github.com/ABHIJEET-MUNESHWAR/OxDEX
   On-chain DEX primitives and order/settlement design.
• 🔐 Multi-Sig Vault — https://github.com/ABHIJEET-MUNESHWAR/Multi-Sig-Vault
   Signer validation, threshold approvals, secure program design.
• 🪪 PDA Name Registry — https://github.com/ABHIJEET-MUNESHWAR/PDA-Name-Registry
   PDA derivation, collision avoidance, deterministic addressing.
• 📓 Solana Address Book — https://github.com/ABHIJEET-MUNESHWAR/Solana-Address-Book
   State modeling, account lifecycle, rent-exempt design.
• 🪙 Sol-Tokens-App — https://github.com/ABHIJEET-MUNESHWAR/Sol-Tokens-App
   SPL tokens, ATA management, mint/transfer flows.
• 🧑‍💻 Portfolio dApp — https://github.com/ABHIJEET-MUNESHWAR/portfolio-dapp
   Wallet (Phantom) integration, transaction signing & UX.
• 🧬 Agave (Solana validator client) — https://github.com/ABHIJEET-MUNESHWAR/agave
   Studying validator internals: scheduler, banking stage, RPC path, runtime.

Across these I’ve internalized: instruction design, simulation, signing, RPC optimization, SPL/ATA flows, AMM/DEX mechanics, security (PDA collisions, signer checks, state consistency), and wallet UX. I’ve also explored cross-chain primitives, oracle integration, and decentralized storage (IPFS).

🤖 AI / GenAI — Production & Tooling
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At Cleo, I’ve been building AI-first backend systems:
• 🧠 Anomaly Detection in Supply Chain using MCP servers, MCP clients, LLMs & GenAI — improved detection accuracy by 60–85%, saving ~$150K/year.
• 📊 Massively scalable audit log system — 360 TB/year, 1.5B events/day, powered by GenAI + RAG + MCP servers, saving ~$250K/year.
• 🧰 MCP Server (Shopping List) — https://github.com/ABHIJEET-MUNESHWAR/mcp-server-shopping-list
• 🗂️ ai-context — https://github.com/ABHIJEET-MUNESHWAR/ai-context (context-engineering for LLM agents)
• ⚙️ KernelFlow — https://github.com/ABHIJEET-MUNESHWAR/KernelFlow

At DeepIntent, I shipped a GenAI Co-Pilot that lifted campaign delivery by 32% ($1M saved) and an in-house GenAI + RAG + multi-model MCP anomaly stack ($200K/year saved). My AI stack spans LLMs, OpenAI, AgenticAI, LLMOps, RAG, MCP, vector DBs, LangChain, LangGraph, and LlamaIndex.

⚡ Performance & Systems Foundation
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• 🦀 At DeepIntent, I designed a Rust + Actix-Web API Gateway → 4× faster, 3× more memory-efficient than the predecessor — exactly the low-level performance mindset Solana programs and trading systems demand.
• 📈 At Cleo, I architected systems processing 1.5B events/day and 360 TB/year pipelines — tuned for performance, cost, and resilience.
• 🧵 Deep Rust foundations — concurrency, smart pointers, design patterns, cargo workspaces, Tokio:
   - https://github.com/ABHIJEET-MUNESHWAR/Concurrency-In-Rust
   - https://github.com/ABHIJEET-MUNESHWAR/TokioNotes
   - https://github.com/ABHIJEET-MUNESHWAR/rust-design-patterns
   - https://github.com/ABHIJEET-MUNESHWAR/rust-smart-pointers
   - https://github.com/ABHIJEET-MUNESHWAR/rust-copy-vs-clone
   - https://github.com/ABHIJEET-MUNESHWAR/cargo-workspaces

🎯 Where I’m Going Deeper
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Many of these are no longer aspirations — I’ve built them and want to push them to production scale:
• 🛡️ MEV-aware / MEV-resistant design, Jito ecosystem, order-flow control — built: BundleRelay.
• ⚡ Low-latency validator submission + QUIC/TPU ingress, tuned for the p99 tail — built: SolLander, QuicForge.
• 📡 Shred / market-data streaming and FEC reconstruction at scale — built: ShredStream.
• 🤝 Off-chain solver + on-chain settlement, CoW-style architectures — built: OxDEX, BullSwap.
• 🧩 Hybrid on-chain state + off-chain indexing (CQRS-style projections).
• 🤖 AI agents that price, route, hedge, and settle on-chain — bridging LLM reasoning with deterministic on-chain execution.

🧠 How I Think About Web3 Systems
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• 🚀 Throughput — TPS, parallel execution
• ⏱️ Latency — block time, confirmation
• 💸 Cost — compute units, rent
• 🛡️ Adversarial — MEV, front-running, state attacks
• 🤖 Intelligence — AI-augmented monitoring, anomaly detection, agentic execution

🧰 Broader Stack
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Rust 🦀, Go, Java, Python, TypeScript • Solana (Anchor), EVM (Solidity), Foundry, Hardhat, Truffle • Kafka, distributed systems, microservices • PostgreSQL, MongoDB, Redis, Aerospike, RabbitMQ, BigQuery • AWS, GCP, Kubernetes, Terraform, Docker, ELK, Grafana, Prometheus.

🔗 My Work
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🌐 Portfolio:      http://abhijeet-muneshwar.github.io/
💻 GitHub:         https://github.com/ABHIJEET-MUNESHWAR
💼 LinkedIn:       https://www.linkedin.com/in/abhijeet-muneshwar/
🧩 LeetCode:       https://leetcode.com/u/Abhijeet-Muneshwar/  (1300+ problems solved ✅)
📚 Stack Overflow: http://stackoverflow.com/users/1428052/abhijeet-ashok-muneshwar

I’d love to contribute to building 🚀 performant, 🔐 secure, and 📈 scalable decentralized systems — especially at the intersection of DeFi, trading infrastructure, protocol-level engineering on Solana, and 🤖 AI-driven on-chain intelligence.

Looking forward to connecting! 🙌

Thank you & Regards,
Abhijeet Ashok Muneshwar ✍️
Principal Software Engineer - 1, Cleo
📱 +91-8618326380
📧 [email protected]