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Vimlesh UserVU
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Vimlesh User

@vimleshuser2

I build scalable backend systems, real-time platforms, and secure payment integrations.

India
Message

What I'm looking for

I'm looking to build scalable backend, full-stack, blockchain, or AI-driven products where I can work on high-concurrency systems, API integrations, cloud-native deployments, and real-time user experiences.

I've built high-concurrency crypto trading and payment platforms at Blockforce India, including Binance and KuCoin routing, AML and Travel Rule compliance, multi-chain deposit listeners, and encrypted wallet-key management.

Previously at Astrivion Ventures, I architected Node.js and Express.js services integrating Amadeus, TBO, and PKFare APIs, reducing latency by 30%. I also implemented MongoDB and Redis caching for 10,000+ monthly API requests and automated AWS deployments with Docker and CI/CD, reducing release cycles by 40%.

At Travel Trivia, I developed scalable REST APIs and integrated Razorpay and PayPal using tokenization and encryption, reducing payment failures by 12% while supporting 99.9% uptime.

I've also built e-commerce, CRM, cryptocurrency, and AI voice-agent products using React, Node.js, Python, FastAPI, RAG, LLMs, WebSockets, and real-time data systems. I bring strong problem-solving foundations from solving 450+ LeetCode problems focused on data structures and algorithms.

Experience

Work history, roles, and key accomplishments

BL
Current

Full Stack Developer

Blockforce India Private Limited

Jan 2026 - Present (7 months)

Built a high-concurrency crypto trading engine with Binance/KuCoin routing and AML/Travel Rule compliance for end-to-end deposit and withdrawal flows using Scorechain, CryptoSwift, and Zigram. Architected multi-chain EVM & Tron blockchain listeners utilizing QuickNode Webhooks for real-time deposit detection, automated hot-wallet sweeping, and AES-256 encrypted key management.

Education

Degrees, certifications, and relevant coursework

Makhanlal University logoMU

Makhanlal University

Bachelor of Computer Applications, Computer Science

Grade: CGPA: 8.0

Pursued a Bachelor of Computer Applications with a focus on Computer Science, achieving a CGPA of 8.0.

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