Full Stack Developer

Software Developer

I'm Snehil – a full stack developer who thrives on building innovative, scalable solutions. I've architected on-chain trading platforms at LOGX, optimized cloud infrastructures to save significant costs, and built real-time blockchain data pipelines at YIELD3 and Propellyr. Have also build AI based Financial Products integrating real-time market data and predictive analytics for investment insights. I’m currently looking for challenging roles that push the boundaries in Web3, AI, and BigData where I can leverage my technical expertise to drive forward-thinking projects.


Experience: 2 years

Yearly salary: $60,000

Hourly rate: $80

Nationality: šŸ‡®šŸ‡³ India

Residency: šŸ‡®šŸ‡³ India


Experience

Software Developer
YIELD3
2023 - 2023
Implemented a streaming service with RabbitMQ for decoding and filtering blockchain transactions, achieving a 50% reduction in data processing time for seamless real-time publication to sources like Clickhouse, batch and S3. Built the LLM based AI application in Python incorporating partitioning of files in Iceberg tables in parquet format and used DuckDB for browser memory based database integrated with TrinoDB. Led the deployment of the AI, Springboot, and Rest Catalog module with TrinoDB Module on Managed Kubernetes clusters, optimizing resource utilization and achieving a 30% reduction in infrastructure costs.
Software Engineer Intern
PROPELLY RCHAIN TECH INC
2022 - 2022
Improved the ABI extraction from Smart contracts by integrating extraction for polygon chain, resulting in 20% increase in data processing. Developed an on-chain and off-chain blockchain data merging solution through configured event-driven AWS lambdas, streaming real-time crypto metadata to AWS Firehose reducing processing times by 50%.
Software Development Intern
KPIT TECHNOLOGIES
2021 - 2021
Built REST APIs on a cloud simulated automated vehicle testing platform in Springboot and python optimizing platform efficiency. Orchestrated the automation of testing simulations on a cloud cluster using a Jenkins pipeline and Python which accelerated triggering speed by 50%.

Skills

ai
aws
backend
big-data
finance
front-end
full-stack
english