neerajkerkar
Software Engineer L4
Crypto-native builder and market participant with deep exposure to on-chain narratives, meme coin dynamics, and community-led token growth. Scaled a meme coin project from sub-$1M to $94M market cap, leading creative direction and community engagement. SWE at Google, with experience across backend systems, infrastructure, android and iOS.
Experience: 4 years
Yearly salary: $70,000
Hourly rate: $40
Nationality: 🇮🇳 India
Residency: 🇮🇳 India
Experience
Software Engineer II
Nium 2023 - 2023
Built several features for NIUM Checkout, enabling unified payment APIs across geographies. Added payment gateway integrations, paginated APIs, email automation, APIs for configuring form fields on payment pages, alerting via Slack, restricted product filtering (using Lucene library), etc. Tech: Java, Spring Boot/WebFlux, microservices.
Software Engineer
Microsoft 2022 - 2023
Contributed to the SQL Server Storage Engine. Extended DMV schema with new telemetry columns for enhanced diagnostics, and designed/implemented comprehensive test suites to validate XML compression, improving data integrity and test coverage. Tech: C++, database internals.
Member of Technical Staff
Cohesity 2021 - 2022
Made enhancements to the Universal Data Adapter (UDA) framework, enabling dynamic configuration of register/backup/restore flows across diverse databases using JSON-based customization. Built CLI tools and backend APIs to inject and manage live JSON config updates in distributed clusters; changes spanned 3 microservices and upgrade workflows. Rewrote legacy cluster management APIs to align with modern OpenAPI specs and evolving product requirements. Tech: C++, Golang, protobuf, microservices, distributed systems.
Project Research Assistant
IIT Bombay 2018 - 2021
Developed security mechanisms for the SAFE exam portal including but not limited to WiFi based location checking for attendance and CNN based face recognition / face ani-spoofing measures for attendance. Implemented NLP-based clustering of student quiz responses for easier grading using sentence embeddings. Did code profiling to analyze and optimize several slow APIs, achieving substantial speedups. Tech: Python, Django, PyTorch, Sentence-BERT, ResNet.
Intern
Morgan Stanley 2017 - 2017
Built the backend of a data validation/cleanup tool with custom rule creation. Tech: Java, Spring.
Skills
backend
blockchain
c-plus-plus
golang
java
english
hindi