Sumit Ghosh

CTO and technical co-founder at Jurisphere.

Developed the core Ethereum smart contracts of Magnify and the corresponding Graph Protocol subgraphs. Made the smart contracts ready for audit by adding complete code coverage. Also worked on the React webapp for interacting with the smart contracts.

• Refactored and developed new features of the Solvent and Strikr smart contracts on Solana, taking care of all possible security vulnerabilities. • Created TypeScript SDKs to facilitate the use of the aforementioned smart contracts. • Devised and implemented a caching layer for storing all relevant on-chain transactions and states of the Solvent smart contract to a database, speeding up the frontend and enabling statistics on past data. Technologies used: Solana, Anchor, Rust, TypeScript, Supabase, PostgreSQL.

• Refactored and overhauled the design of a few key microservices, resulting in their parallelization and a remarkable 100x improvement in speed. • Developed a high-quality, modern API layer using FastAPI, designed for both internal and external consumption. • Wrote comprehensive unit tests for a suite of microservices that constituted a large-scale data pipeline, resulting in a significant increase in test coverage and improved system uptime. Technologies used: GCP, FastAPI, PostgreSQL, Python, Docker, Redis, Event Sourcing, CircleCI, PyTest.

• Implemented an OAuth-based authentication system to be utilized by applications within the infrastructure. • Expertly managed servers, ensuring optimal performance, and promptly addressing all support requests. Technologies used: Linux, Apache2, Reverse Proxy, VM, DNS, DHCP.

Worked with about 50 clients, ranging from solopreneurs to medium-sized businesses. Technologies used: Python, Selenium, Flask, Django, AWS, QT, Scrapy, Celery, Redis, PostgreSQL, MySQL, Nginx, SMTP, IMAP, DNS, Bootstrap, UIKit, Linux.

• Contributed to the development of an enterprise-level infrastructure monitoring platform. • Designed and developed an automation tool that facilitated the self-healing of systems experiencing disk space-related issues. Technologies used: Ansible, Elasticsearch, Kibana, Splunk, RabbitMQ.