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Shiva Gaire

Shiva Gaire

ABOUT ME
I write about Software Engineering, Machine learning, Artificial intelligence & Data Structure and algorithms and in language and framework
I write about Software Engineering, Machine learning, Artificial intelligence & Data Structure and algorithms and in language and framework like python, Ruby, Django and rails. I am the codeblooded organism.

I am a software engineer with 5+ years of experience in professional software development and I am currently working for a Denmark-based SIEM company called LogPoint.

I read your job description and I am pretty interested in this job. I have been involved in professional software development using Python, Flask, FastAPI and its ecosystem. Besides that, I have also professional experience working with React, and Redux and also managing and handling server-side deployments. I am well familiar with DevOps practices using Docker, GitLab CI/CD and Jenkins and cloud services within the AWS ecosystem.

I’ll keep this short and we can go into more details when we chat.
Before anything else, I know you’re probably curious to see my skills, you can also view my

profile here: https://stackoverflow.com/users/7306868/geeksambhu I look forward to our chat. Have a great day!

Central Time (US & Canada) (-05:00)
Joined October 2017
EXPERTISE
AWS (Amazon Web Services)
3 years experience
MongoDB
5 years experience
Linux
5 years experience
Fastapi
3 years experience
Django
4 years experience
SOCIAL PRESENCE
Community Posts
Big O notation and Algorithmic Complexity analysis
Basic Explanation to Big O!!
1
EMPLOYMENTS
Senior Software Engineer
Prohance Technologies LLC (USA)
2024-02-01-Present
  • Contributed to an e-commerce integration project, seamlessly linking major platforms including Shopify, WooCommerce, and Magento ...
  • Contributed to an e-commerce integration project, seamlessly linking major platforms including Shopify, WooCommerce, and Magento to streamline shopping, payment, and shipment APIs.
  • Leveraged AWS Lambda serverless architecture, and AWS API gateway to trigger Python Lambdas, facilitating smooth API integration with e-commerce platforms through AWS API Gateway.
  • Implemented artifacts and image storage utilizing Amazon S3, ensuring efficient data management.
Python
AWS Lambda
AWS (Amazon Web Services)
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Python
AWS Lambda
AWS (Amazon Web Services)
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Senior Software Engineer
Resimator OY
2023-04-01-2024-02-01
  • Developed scalable Python/Flask/FastAPI-based microservices with a shared kernel, optimizing development efficiency, performance,...
  • Developed scalable Python/Flask/FastAPI-based microservices with a shared kernel, optimizing development efficiency, performance, and resource utilization.
  • Enhanced test coverage and implemented a robust testing framework, reducing bug reopening rates and improving software quality.
  • Improved observability and proper log monitoring using Grafana and Sentry on critical backend customer-facing microservices to enhance user experience, boosting retention rates.
  • Implemented AWS pipeline for Continuous Deployment, reducing deployment efforts by 100% and accelerating release cycles.
  • Played a pivotal role in the hiring process, participating in candidate evaluations and interviews, and contributing to building a high-performing team.
Python
Flask
Docker
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Python
Flask
Docker
pytest
Aws Codepipeline
GitHub Actions
Fastapi
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Senior Software engineer
Logpoint
2017-09-01-2023-03-01
  • Led migration of first-generation on-premise Python, MongoDB-based alert, and incident engine to the AWS cloud that used AWS lamb...
  • Led migration of first-generation on-premise Python, MongoDB-based alert, and incident engine to the AWS cloud that used AWS lambda for log processing, and S3 buckets for log storage that significantly reduced computation cost of on-premise monolithic application installation.
  • Conceptualized and built SMS notification feature with SMPP support by re-designing the Python/ MongoDB-based notification engine to support Email, SNMP, SSH & HTTP notifications that helped to onboard prospective telecommunication customers.
  • Developed the Python-MongoDB-based core web server architecture for the SIEM application, facilitating efficient incident and alert triggering from diverse log sources.
  • Integrated the MITRE ATT&CK Knowledge base into the existing alert rules, enhancing the platform's threat detection capabilities.
  • Enhanced unique node-based licensing models for SIEM products and sub-products (SOAR & Cloud), offering flexible and tailored solutions to clients.
  • Designed and implemented a Jenkins-based documentation pipeline, reducing the workload for the Documentation team by 100%, and improving accessibility in different formats (HTML/PDF)
  • Achieved an 80% reduction in developer onboarding time by completing Docker migration and updating setup docs of all Flask, and Node.js based sub-applications
  • Designed and built an MongoDB, Express, React & node.js application to calculate SIEM infrastructure needs, resulting in a 60% increase in marketing lead generation.
  • Implemented GnuPG signing and checksum verification for Logpoint generated licenses, significantly enhancing security for the Logpoint's licensing model.
  • Integrated Salesforce & Zendesk API to synchronize customer details from Salesforce & Zendesk to the for license mapping, support and analytics.
Python
MongoDB
Flask
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Python
MongoDB
Flask
Docker
AWS (Amazon Web Services)
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PROJECTS
Decentralized Finance applicationView Project
2023
- Decentralized Finance web application involving multiple blockchain networks like Ethereum, Polygon, Avalanche - Implemented a CI/CD pi...
- Decentralized Finance web application involving multiple blockchain networks like Ethereum, Polygon, Avalanche - Implemented a CI/CD pipeline with Docker, Kubernetes, GitHub Actions, and AWS ECS/ EKS - Worked on Olympus DAO and Graph protocol to fetch txn data from chains. - Designed application architecture for data synchronization from Smart contracts for financial analytics in the DeFi platform
Node.js
Flask
PostgreSQL
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Node.js
Flask
PostgreSQL
Elasticsearch
Docker
Kibana
Kubernetes
AWS (Amazon Web Services)
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