Vetted Talent
Dhairya Verma
Vetted Talent
Experienced Software Engineer with a demonstrated history of working in the software industry. Skilled in Java, AWS, Distributed Systems. Strong engineering professional with a Bachelor's Degree focused in Computer Science.
- Role
Senior Software Engineer
- Years of Experience
6 years
- Professional Portfolio
View here
Skillsets
- Python
- TypeScript
- Terraform
- System Design
- Svelte
- SQS
- MongoDB
- FFmpeg
- Golang
- Microservices
- AWS
- AWS - 5 Years
- Java
- Amazon S3
- Python
- Redis
- DynamoDB
- SNS
- Spring
- Kafka
- Java
- AWS - 4 Years
Vetted For
9Skills
- Roles & Skills
- Results
- Details
Media Engineer ( Python and Golang) - RemoteAI Screening- 60%
- Skills assessed :akmai, fastly, media streaming, Terraform, AWS, Docker, Go Lang, Kubernetes, Python
- Score: 54/90
Professional Summary
6Years
- Aug, 2024 - Present 11 months
Senior Software Engineer
Jacks Club - May, 2024 - Jul, 2024 2 months
Backend Engineer
Freelance Developer - Mar, 2021 - May, 20243 yr 2 months
Founding Backend Engineer
Fanclash - Aug, 2019 - Mar, 20211 yr 7 months
Software Development Engineer
Amazon
Applications & Tools Known
TypeScript
Golang
Kafka
Redis
Lambda
MongoDB
Node.js
CockroachDB
AWS
Java
AWS Glue
S3
Spring
JSP
Work History
6Years
Senior Software Engineer
Jacks ClubAug, 2024 - Present 11 months
Designed scalable backend solutions for processing events, integrated third-party casino APIs, and developed a Telegram chat moderation bot.
Backend Engineer
Freelance DeveloperMay, 2024 - Jul, 2024 2 months
Built a 24/7 live streaming platform and implemented real-time game state management.
Founding Backend Engineer
FanclashMar, 2021 - May, 20243 yr 2 months
Key founding engineer contributing to user base growth, built an esports RAG chatbot, reduced CPU usage, and developed a highlight generation SaaS and real-time esports fantasy platform.
Software Development Engineer
AmazonAug, 2019 - Mar, 20211 yr 7 months
Integrated a Java-based rule engine and implemented shadow mode workflow for API migration.
Achievements
- Implemented non-transactional approach and optimized performance with Redis integration
- Architected multi-region betting backend using CockroachDB, Kafka, and AWS, emphasizing GDPR compliance and scalability.
- Scaled data pipelines for daily jobs that generated customer reports
- Implemented shadow mode work ow for the migration of the refund API, automating daily mismatch reports using AWS Kinesis Stream, AWS Glue, and S3.
- Implemented non-transactional approach and optimized performance with Redis integration
- Architected multi-region betting backend using CockroachDB, Kafka, and AWS, emphasizing GDPR compliance and scalability.
- Scaled data pipelines for daily jobs that generated customer reports
- Implemented shadow mode work ow for the migration of the refund API, automating daily mismatch reports using AWS Kinesis Stream, AWS Glue, and S3.
- Implemented non-transactional approach and optimized performance with Redis integration
- Architected multi-region betting backend using CockroachDB, Kafka, and AWS, emphasizing GDPR compliance and scalability.
- Scaled data pipelines for daily jobs that generated customer reports
- Implemented shadow mode work ow for the migration of the refund API, automating daily mismatch reports using AWS Kinesis Stream, AWS Glue, and S3.
- Key founding engineer at FanClash with a user base of 3 Million
- Reduced CPU usage by 10-20% with serverless event-driven architecture
- Resolved concurrent slot booking conflicts by 99% using Redis
- Developed GPT-based chatbot for esports knowledge
- Engineered real-time esports fantasy platform
- Led development and design of app features including payments and taxation
- Built social graphs with ArangoDB for user engagement
- Revamped application for B2B capabilities
- Architected multi-region betting backend emphasizing GDPR compliance
Major Projects
2Projects
Real-time esports highlight generation SaaS
Built a SaaS to automate esports highlight generation using OBS Studio, RTMP servers, OpenCV, FFmpeg, and GPU acceleration.
RAG Chatbot for esports knowledge
Developed a chatbot using GPT, Pinecone, Langchain, and AWS Lambda for message processing and summarizing.
Education
Bachelor of Technology in Computer Science and Engineering
IIT Mandi (2019)