profile-pic

Binoy Oza

Vetted Talent

Binoy Oza

Vetted Talent

In his dynamic technical journey, Binoy has cultivated a remarkable expertise in web development, with a strong focus on Django, and Machine Learning (ML) and Artificial Intelligence (AI), leveraging these skills to tackle intricate challenges and drive progress. With a wealth of experience spanning over five years, he has demonstrated proficiency in developing robust web applications using Django framework, implementing cutting-edge ML/AI algorithms, and architecting intelligent solutions across diverse domains. His adeptness extends to other web development frameworks and technologies, such as Flask and FastAPI. Additionally, Binoy possesses a deep understanding of ML/AI concepts and techniques, including libraries like PyTorch, TensorFlow, and Pandas. Renowned for his technical problem-solving prowess and innovative mindset, Binoy continues to make significant contributions to both the web development and ML/AI communities.

  • Role

    Backend Python Engineer

  • Years of Experience

    5.50 years

  • Professional Portfolio

    View here

Skillsets

  • Linux - 4 Years
  • Middleware - 4 Years
  • Multi-Threading - 4 Years
  • Kubernetes - 2 Years
  • Backend - 5.5 Years
  • API - 5 Years
  • Relational Database - 5 Years
  • Integration Testing - 5 Years
  • 3rd party API integrations - 5.5 Years
  • automations - 2 Years
  • Docker/Terraform - 3 Years
  • Core Java - 2 Years
  • flask - 4 Years
  • Mongo DB - 2 Years
  • Terraform - 2 Years
  • Tastypie frameworks - 1 Years
  • Gcp services - 3 Years
  • Cloudmigration - 1 Years
  • GraphQL - 3 Years
  • Kafka - 2 Years
  • Product development - 5 Years
  • Rest APIs - 5.5 Years
  • MVC
  • Git
  • Rest
  • AWS - 5 Years
  • Web Development - 5.5 Years
  • API Development - 5.5 Years
  • Python - 5.5 Years
  • Django - 5.5 Years
  • JavaScript - 3 Years
  • Basic Bash scripting - 1 Years
  • Docker/Docker - 3 Years
  • Pytorch - 1 Years
  • Celery - 4 Years
  • DRF - 5 Years
  • FastAPI - 3 Years
  • AWS Services - 5.5 Years
  • S3 Bucket - 3 Years
  • NLP - 1 Years
  • Fast API - 3 Years
  • REST API - 5 Years
  • PL/SQL - 2 Years
  • MySQL - 4 Years
  • PostgreSQL - 4 Years
  • Azure Data Factory - 1 Years
  • Secret Manager - 1 Years
  • Cloud Functions - 1 Years
  • GCP Services - 3 Years
  • Lambda - 2 Years
  • Django Rest Framework - 5 Years
  • Jira - 5 Years
  • POSTMAN - 4 Years
  • Amazon Elastic Kubernetes Service - 1 Years
  • Golang - 1 Years
  • MongoDB - 2 Years
  • SOAP/REST APIs - 5 Years
  • Apache Kafka - 2 Years
  • RabbitMQ - 4 Years

Vetted For

11Skills
  • Roles & Skills
  • Results
  • Details
  • icon-skill_image
    Senior Backend Developer - 3rd party APIs Integration (Python) - REMOTEAI Screening
  • 80%
    icon-arrow-down
  • Skills assessed :3rd party API integrations, API, automations, Docker/Terraform, Integration Testing, Relational Database, AWS, Python, Celery, Postgres, Django
  • Score: 72/90

Professional Summary

5.50Years
  • Aug, 2024 - Dec, 2024 4 months

    Software Engineer II

    Abnormal Security
  • Dec, 2022 - Aug, 20241 yr 8 months

    Senior Software Engineer

    Urbanpiper
  • Dec, 2022 - Aug, 20241 yr 8 months

    Senior Software Engineer

    Urban Piper
  • Feb, 2019 - Sep, 20201 yr 7 months

    Software Developer

    BoTree Technologies PVT. LTD.
  • Feb, 2019 - Sep, 20201 yr 7 months

    Python Developer

    BoTree Technologies PVT. LTD.
  • Dec, 2020 - Dec, 20222 yr

    Senior Software Engineer

    Crest Data Systems

Applications & Tools Known

  • icon-tool

    Django

  • icon-tool

    Django REST framework

  • icon-tool

    Python

  • icon-tool

    FastAPI

  • icon-tool

    Flask

  • icon-tool

    Docker

  • icon-tool

    Jira

  • icon-tool

    GitHub

  • icon-tool

    GitLab

  • icon-tool

    Terrafrom

  • icon-tool

    Postman

  • icon-tool

    PostgreSQL

  • icon-tool

    AWS Cloud

  • icon-tool

    AWS (Amazon Web Services)

  • icon-tool

    AWS CloudWatch

  • icon-tool

    AWS Secrets Manager

  • icon-tool

    Amazon CloudFront

  • icon-tool

    GCP Services

  • icon-tool

    Kibana

  • icon-tool

    Confluence

  • icon-tool

    Bamboo

  • icon-tool

    Kubernetes

  • icon-tool

    GoLang

  • icon-tool

    MongoDB

  • icon-tool

    MySQL

  • icon-tool

    REST API

  • icon-tool

    AWS Lambda

  • icon-tool

    Apache Kafka

  • icon-tool

    RabbitMQ

  • icon-tool

    Redis Stack

  • icon-tool

    Atlassian

Work History

5.50Years

Software Engineer II

Abnormal Security
Aug, 2024 - Dec, 2024 4 months
    • Analyzed and defined the migration strategy to transition infrastructure from Terraform-based to a Kubernetes (StratOS) architecture. Delivered a comprehensive strategy detailing the pros and cons of migrating Redis cache, DB Tables, and Kafka queues, optimizing scalability and reducing maintenance overhead.
    • Built a GoLang API for bulk record creation, replacing a previously manual process where 1,000 records required 1,000 Individual requests. This optimization reduced API calls by 99.9%, enhancing system performance and reducing Manual effort.
    • Actively participated in on-call rotations, resolving critical production issues within SLAs, minimizing downtime, and Ensuring uninterrupted service.
    • Technologies: GoLang, Python, Django, Rest APIs.

Senior Software Engineer

Urbanpiper
Dec, 2022 - Aug, 20241 yr 8 months
    • Led a team to architect and implement a dedicated integration service, transitioning from monolithic to microservices architecture. Established a robust ETL process to unify schema structures across diverse integrations, enabling seamless data processing. Managed schema design for new integrations, standardizing inconsistent data structures and improving data ingestion efficiency by 40%.
    • Achieved 10,000 QPS throughput by leveraging Kafka for asynchronous communication and Redis for caching frequently accessed data, ensuring scalability and low-latency processing.
    • Introduced webhooks for real-time order status updates from integrations, reducing polling overhead by 60%. Webhook requests were processed via AWS Lambda, and tasks were queued in a broker for execution, improving update latency by 30%.
    • Designed and implemented a circuit breaker mechanism for order services, reducing downtime caused by downstream outages. Enhanced resilience by:
    • Automatically rerouting requests to a dead-end queue after 30 failed attempts.
    • Implementing CloudWatch and Slack-integrated alerts for outages exceeding 30 minutes, ensuring proactive resolution.
    • Reduced queue overflow incidents by 40% and improved operational stability.
    • Optimized database performance by creating required indexing columns, refactoring queries, and implementing pagination, improving response time for large datasets by 35%. Introduced monitoring alerts for storage thresholds to proactively address data growth.
    • Reduced AWS infrastructure costs by 20% through clustering ECS services and optimizing resource utilization.
    • Resolved critical on-call production issues, achieving 99.9% uptime and ensuring uninterrupted revenue generation.
    • Conceptualized, planned, and executed feature implementations, collaborating with product, QA, and operations teams to deliver high-impact functionality.
    • Technologies: Python, Django, Kafka, Redis, AWS ECS, PostgreSQL, Rest APIs, Tastypie, GraphQL, Java.

Senior Software Engineer

Urban Piper
Dec, 2022 - Aug, 20241 yr 8 months
    • Led a team to architect and implement a dedicated integration service, transitioning from monolithic to microservices architecture. Established a robust ETL process to unify schema structures across diverse integrations, enabling seamless data processing. Managed schema design for new integrations, standardizing inconsistent data structures and improving data ingestion efficiency by 40%.
    • Achieved 10,000 QPS throughput by leveraging Kafka for asynchronous communication and Redis for caching frequently accessed data, ensuring scalability and low-latency processing.
    • Introduced webhooks for real-time order status updates from integrations, reducing polling overhead by 60%. Webhook requests were processed via AWS Lambda, and tasks were queued in a broker for execution, improving update latency by 30%.
    • Designed and implemented a circuit breaker mechanism for order services, reducing downtime caused by downstream outages. Enhanced resilience by: Automatically rerouting requests to a dead-end queue after 30 failed attempts. Implementing CloudWatch and Slack-integrated alerts for outages exceeding 30 minutes, ensuring proactive resolution. Reduced queue overflow incidents by 40% and improved operational stability.
    • Optimized database performance by creating required indexing columns, refactoring queries, and implementing pagination, improving response time for large datasets by 35%. Introduced monitoring alerts for storage thresholds to proactively address data growth.
    • Reduced AWS infrastructure costs by 20% through clustering ECS services and optimizing resource utilization.
    • Resolved critical on-call production issues, achieving 99.9% uptime and ensuring uninterrupted revenue generation.
    • Conceptualized, planned, and executed feature implementations, collaborating with product, QA, and operations teams to deliver high-impact functionality.
    • Languages: Python, Django, Kafka, Redis, AWS ECS, PostgreSQL, Rest APIs, Tastypie, GraphQL, Java.

Senior Software Engineer

Crest Data Systems
Dec, 2020 - Dec, 20222 yr
    • Led a team to develop the Google Chronicle CLI, including a parser that accepts various parameters and generates YAML files, which are processed by backend services to create logs. Streamlined operations with Feed, Parser, Forwarder, and BigQuery APIs, reducing log analysis time by 20%.
    • The creation of CLI tool automated the generation of phishing/malware attack scenarios for sales demos, reducing manual effort by 40% and improving demo preparation time by 30%.
    • Optimized log query performance with BigQuery and pagination, cutting response latency by 35% and enhancing portal responsiveness for large datasets.
    • Technologies: Python, CLI, Protobuf, GCP Services, Celery, Docker

Python Developer

BoTree Technologies PVT. LTD.
Feb, 2019 - Sep, 20201 yr 7 months
    • Developed and deployed scalable web applications by gathering client requirements, adhering to technical standards, and delivering demos.
    • Key Projects & Achievements:
    • Learning Platform: Designed and implemented a platform offering 50+ courses to 5,000+ active users/month. Optimized AWS S3 with 70% edge caching via CloudFront, reducing data transfer costs from $900/month to $595/month, saving over $300/month (34% reduction).
    • E-Commerce Website: Developed an online shopping platform for 10,000+ users, enhancing scalability by 20% with Celery task queues and increasing customer retention by 15% through Intercom integration. Boosted transaction success rates by 10% with secure payment gateway implementation.
    • Technologies: Python, Django, Django Rest Framework, NodeJS, Spring Framework (JAVA), PostgreSQL, AWS (CloudFront, RDS, EC2), Celery, JavaScript

Software Developer

BoTree Technologies PVT. LTD.
Feb, 2019 - Sep, 20201 yr 7 months
    • Developed and deployed scalable web applications by gathering client requirements, adhering to technical standards, and delivering demos.
    • Key Projects & Achievements: Learning Platform: Designed and implemented a platform offering 50+ courses to 5,000+ active users/month. Optimized AWS S3 with 70% edge caching via CloudFront, reducing data transfer costs from $900/month to $595/month, saving over $300/month (34% reduction).
    • E-Commerce Website: Developed an online shopping platform for 10,000+ users, enhancing scalability by 20% with Celery task queues and increasing customer retention by 15% through Intercom integration. Boosted transaction success rates by 10% with secure payment gateway implementation.
    • Languages: Python, Django, Django Rest Framework, NodeJS, Spring Framework (JAVA), PostgreSQL, AWS (CloudFront, RDS, EC2), Celery, JavaScript.

Achievements

  • Appreciated by CTO for the project work.
  • CAP Award by Crest Data Systems

Major Projects

5Projects

Google Chronicle CLI

Dec, 2020 - Dec, 20222 yr
    • Chronicle CLI allows customers to manage various operations that can be performed on Chronicle. This script provides a command line tool to interact with Feed, Parser, Forwarder and BigQuery APIs.
    • Worked as an contract based developer for Google in this project representing Crest company.
    • Tools: Python, GCP Services, Celery(Python), Docker for deployment, Protobuf.

TimeSketch Integration

May, 2022 - Dec, 2022 7 months
    • Integrated TimeSketch having the functionality to perform graph generation, aggregation and analysis operations on the logs uploaded to it. Build a middleware tool using cloud functions which can fetch the data from BigQuery database and submit it to the TimeSketch, also it maintains the credentials as secret using GCP services. I worked as Project lead.
    • Tools: Python, GCP services (Cloud Functions, Secret Manager, Bucket), Terraform(For deployment).

Mobile and web app for School Learning

Sep, 2020 - Dec, 2020 3 months
    • It is a project which provides some educational courses for the student into some languages where students can learn through various standards and materials available online. I worked on the back end of this project i.e. managing the APIs and handling the web application.
    • Tools: Django Rest Framework, Postgres, AWS Services for deployment(CloudFront, RDS, Load balancer, EC2 Instances)

Mobile app for teaching courses

Jan, 2020 - Sep, 2020 8 months
    • It is a project which provides some educational courses for the student into some languages with Mentor mentoring the Mentees with some predefined process. I worked on the back end of this project i.e. managing the APIs.
    • Tools: Django Rest Framework, Postgres RDS database (AWS), Cron jobs

E-Commerce Online shopping website

Feb, 2019 - Jan, 2020 11 months
    • It is a project for developing the complete E-Commerce website of online product selling. It has product, customer, order, subscription management, payment integration along with User Relationship Management via Intercom integration. It is fully built in Django Framework.
    • Tools: Django Framework, Postgres, Oscar Framework(E-Commerce library), Celery, AWS deployment

Education

  • B.E. (Computer)

    Government Engineering College, Gandhinagar (2019)

Interests

  • Reading
  • Badminton
  • Technology Research
  • Learning
  • Internet Surfing