Hello World!
Hello World!

{

"name": "gitesh jain",

"occupation": "software engineer",

"likes": ["travelling", "badminton"],

"dislikes": ["jira", "legacy-code"]

}

Suffering From Skill Issues

Python
K8s
GCP
Java
Camunda BPMN
MongoDB
PostgreSQL
Redis
Spring
Data Structures
& Algorithms
System Design
Design Patterns

Professional Experience

Software Engineer, Wayfair
Software Engineer, Falabella
  • Implemented Supplier Core as single source for all things related to Supplier by breaking a monolithic service and database into new micro-services based platform

  • Designed and Implemented Sync-guard, a no-code/low-code configuration based data diff & data reconciliation platform.

  • Building digital factory logistics for e-commerce (Falabella.com) resulting in fulfilling 70% order in <24Hrs and 90% orders in <48Hrs

  • Led end-to-end design and implementation of
    fulfilment orchestrator and fulfilment services for customer order delivery

  • Designed and developed event-driven distributed systems for order-tracking (Order 360)

  • Implemented annotation-based idempotent handler for enterprise-level APIs

  • Developed stock transfer capability as part of inbound orchestration

  • Cross-functionalities - audit-service for metrics, core-starter-kit with enhanced logging to be used across micro-services

  • Reduced datadog cost by 20% by optimising logs across systems

Software Engineer, TCS
  • Led end-to-end design and implementation for promotional offer engine for automobile client which included async reporting capabilities, digital chart,
    focus-vehicle chart capability for consolidated view and versioning of offers across region and vehicle groups

  • Developed auditing for offer change history to provide historic changes for offers in time and across region and vehicle groups

Bragging

Change-Maker Award at Falabella

Meticulously built solutions at scale like pick-and-dispatch and cross-docking capabilities for the logistics platforms at Falabella!

Winner of Technergize at IEEE CSIS 2018

Built a Breast Cancer Phase Detection Solution using Deep Learning (BreastX) for early detection of cancer.

Best Final Year Project - 2019

Project - Breast Cancer Histology Image Classification Using Deep Neural Networks.

Secured 2nd position in online coding competition conducted by Scaler Academy

Winner of Scaler Coding Contest - XIV

O-Star Performer at TCS

1602 Contest rating at LeetCode.

Was awarded O-Star Grade for working on Contextual Chatbot for bank customer issue classification and resolution under BFS & I Business Unit

Attained 1602 rating by attending and performing excellently in weekly coding contest conducted on Leetcode

Let's Hear From My Network

• Text intent Classification for Banking services
• Automated user complaints handling using chatbot whici classifies intent from text to resolve the issue on time
• Keras, Python, NLP, Machine Learning
• Breast Cancer Phase Detection
• Classification of Breast cancer histology images into four phases which helps in early detection of cancer
• Keras, Python, Machine Learning, CNN, Deep Learning

Projects

• Campus placement portal
• Takes care of all steps from candidate registration, online test to getting hired
• C#, JavaScript, MySQL
• Miniature version of Banking Application
• Deposit and withdraw money, credit interest etc.
• JWT based authentication
• Java, SpringBoot, PostgresSQL
• Miniature version of Netflix
• Catalog for movies and shows
• Java, SpringBoot, MongoDB
Zeta
mFlix
BreastX
Banking System
GetPlaced

© 2024 Gitesh Jain