About
I'm Surya Narayanan, a Senior Software Engineer based in Kerala, India. I specialize in building distributed systems, developer tooling, and scalable backend architectures. Currently architecting supply-chain and logistics systems at WareIQ, where I work on high-throughput traffic management systems and inventory forecasting platforms.
Experience highlights
- WareIQ / Inventorylogiq (2023—Present) — Senior Software Engineer building high-scale logistics infrastructure. Architected Perimeter, a Go-based egress traffic controller handling 1M+ requests daily with intelligent rate limiting and monitoring. Developed time-series forecasting services for inventory demand prediction and optimal routing algorithms. Led integration projects with global logistics partners and scaling B2B middleware platforms.
- Glitchh (2022—2023) — Technical Lead managing a development team and architecting backend services for a gaming social platform. Built scalable Python microservices on AWS with Kubernetes orchestration, implemented CI/CD pipelines, developedGenie (environment orchestration tool), and migrated REST APIs to GraphQL with custom frontend tooling.
- Edith Industries (2019—2020) — Full‑stack developer creating applications from ground up, designing database architectures across PostgreSQL, MySQL, and MongoDB. Built deep-learning image classification systems for satellite spectral analysis (featured in Reboot Kerala Hackathon).
- Atlaria (2021—2022) — Website and tools for a Solana NFT collection.
Recent work
- CardanoWarriors.io — Floor bot scanning Cardano NFT markets in real-time; moderation bot for community ops.
- @BrownNFT — Auction system for artwork in Discord.
- ASIET — Websites for college events and student-led projects.
Technical Expertise
- Languages: Go, Python, JavaScript/TypeScript, Rust, Bash, Lua, C++
- Backend & Systems: Django, Flask, FastAPI, Node.js, microservices architecture, REST/GraphQL APIs, gRPC
- Infrastructure: Kubernetes, Docker, Helm, NGINX, Envoy Proxy, service mesh, distributed systems design
- Cloud Platforms: AWS (Lambda, ECS, RDS, S3, CloudFormation), serverless architectures, infrastructure as code
- Frontend: React, Next.js, Vue, React Native/Expo, Flutter, TypeScript, Tailwind CSS
- Data & AI: PostgreSQL, MySQL, MongoDB, DynamoDB, time-series databases, machine learning model deployment, transformer/diffusion model fine-tuning
- DevOps: CI/CD pipelines, monitoring & alerting, performance optimization, system reliability engineering
Education & Background
B.Tech in Computer Science
Adi Shankara Institute of Engineering and Technology (2018–2022)
Specialized in distributed systems, algorithms, and software engineering. Active in hackathons and technical competitions, with a focus on practical applications of machine learning and system design.