Adiyti Suman
Founder Engineer - Backend @ NEXTPAYMENTS | Building Payment Solutions
Bangalore Urban
3+ years of work experience
Nov 20257 moJun 2026
Bengaluru
Mar 20241 yr 10 mosDec 2025
Bengaluru, Karnataka, India
As a core developer at NextPayments, I’ve been instrumental in building a crypto-based UPI payment gateway from the ground up — blending blockchain with real-time payments infrastructure. My responsibilities include:
Architecting and developing the payment gateway backend using Go (Golang), FastAPI, and Redis for ultra-low latency performance.
Integrating smart contract systems on Ethereum and Polygon using Solidity for secure, transparent, and decentralized settlements.
Designing and deploying cloud-native infrastructure using Docker, Kubernetes, and Terraform for scalability and high availability.
Implementing high-grade security protocols such as tokenized encryption, rate-limiting, fraud detection, and AML/KYC flows to ensure compliance and trust.
Creating developer-friendly APIs and SDKs for third-party integration with e-commerce platforms, apps, and international remittance partners.
Building real-time analytics and dashboards using Grafana and Elasticsearch to monitor transaction flows, system health, and user behavior.
Leading cross-functional collaboration across engineering, product, and compliance teams to align architecture with regulatory and user needs.
Driving innovation by enabling fast cross-border payments, fiat-to-crypto rails, and utility bill payments using DeFi principles.
Feb 20241 yrJan 2025
Bangalore Urban, Karnataka, India
As a developer at NextGoTravels, I contributed to building a next-gen travel booking and logistics platform designed to make travel cheaper, faster, and smarter for everyone. My core contributions included:
Engineering a lightweight and high-performance booking system using MERN/MEAN stack and Next.js, optimized for mobile and web experiences.
Integrating APIs for flights, trains, hotels, buses, and local experiences, allowing users to compare, book, and manage multi-modal travel in one place.
Building dynamic pricing and smart deals engine using Golang and Redis to offer the cheapest possible travel options in real time, beating traditional platforms.
Implementing location-aware search, route planning, and itinerary generation using Mapbox and Google APIs for hyper-personalized travel experiences.
Designing secure payment infrastructure using NextPayments, enabling users to pay via UPI, cards, or crypto, with near-zero transaction delays.
Deploying cloud infrastructure with Docker, Kubernetes, and Terraform to scale travel operations without compromising performance.
Creating visual dashboards and analytics tools for admins and vendors to track bookings, revenues, user patterns, and pricing trends using Grafana and Elasticsearch.
Reducing operational overhead by automating ticketing, invoicing, and customer communication via chatbots and smart notifications.
At NextGoTravels, we didn’t just build a platform — we engineered a movement to ensure travel doesn't come at a cost of compromise. Fast, cheap, and reliable — we made sure nothing goes lighter than your wallet, not your experience.
Oct 20234 mosJan 2024
Bengaluru, Karnataka, India
Designed low-latency trading engines in Golang, optimized for microsecond-level execution across multiple asset classesBuilt real-time data ingestion pipelines using Rust for memory safety and speed-critical processing of market ticks and order book deltas.Developed trading strategy simulators and P&L analysis tools in Ruby for rapid prototyping and backtesting.Implemented Terraform-based infrastructure as code to spin up isolated backtesting and live-trading environments across AWS/GCP.Integrated Grafana dashboards with Prometheus and custom Rust metrics exporters to monitor execution time, slippage, and system healthWorked.Mission-critical trading systems require robust monitoring. I integrated Prometheus for time-series metrics collection and Grafana for real-time dashboards. We monitored both system health and trading performance, visualizing metrics such as:
Execution latency (from signal to order acknowledgment)
Market data ingestion rate (events/sec)
Order success/failure ratios
Slippage and fill-rate
Resource utilization (CPU, memory, I/O)
We also built custom Rust exporters for metrics not covered by default exporters, such as order book skew, volatility heatmaps, and queue sizes.
Dec 20225 mosApr 2023
Remote
Sep 20225 mosJan 2023
South Goa, India
Sep 20223 mosNov 2022
India
Adiyti’s AI Stack
Education
Bachelor of Technology - BTech, Computer Science
Birla Institute of Technology and Science, Pilani - Goa Campus
20224 yrs2026
Sri Chaitanya College of Education
20192 yrs2021
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