Nirmit Bansal
Download
Recommend
Messages
Share
Nirmit Bansal

Nirmit Bansal

About

Detail

Standard Chartered GBS | IIT Delhi’21
Delhi, India

Contact Nirmit regarding: 

work
Full-time jobs

Timeline

work
Job
school
Education
folder
Project

Résumé

Jobs verified_user 0% verified
  • S
    Software Engineer
    Standard Chartered GBS
    Jul 2021 - Current (3 years 11 months)
    • Engineered a low-latency Pub-Sub application: Developed an asynchronous messaging system with Solace to ensure rapid data processing and delivery. This setup enabled efficient, reliable message handling with sub-millisecond delays, supporting real-time data needs in high-performance production environments • Developed Data Pipelines for Credit Risk Models: Implemented RESTful APIs, Multi-threading and concurrency features to improve data processing speeds, pooling to minimize latency in memory allocation and deallocation. Enhanced Security using Java KeyStore integrated with Hashicorp Vault • Deployed over 8 Java applications in the production environment using ADO pipelines, conducted rigorous integration testing, and utilized Mockito
  • C
    Apprenticeship
    Campizo Technologies
    Jul 2021 - Sep 2021 (3 months)
    • Part of the higly accelerated training program; implemented and deployed a full stack web application (Manual Payments WebApp) using technologies including React, Node JS, Springboot • Designed the application for corporate banking customers to create telegraphic transactions with required approvals and designed features to manage accounts effectively; Secured 2nd Position among 16 teams from tier-1 colleges in India
  • Unacademy
    Product
    Unacademy
    May 2021 - Jun 2021 (2 months)
    • Co-created Strategies to grow Unacademy Online Business by identifying gaps in Learner Experience
Education verified_user 0% verified
  • M
    Machine Learning
    Jan 2020 - May 2020 (5 months)
  • Indian Institute of Technology
    Bachelor of Technology in
    Indian Institute of Technology
    Aug 2017 - May 2021 (3 years 10 months)
  • &
    &
  • D
    Data Structures and Algorithms
  • C
    Computer Networks
  • A
    Analysis and Design of Algorithms
  • P
    Parallel Programming
  • D
    Data Mining
  • G
    Game Theory
  • M
    Micro Economics
  • M
    Probability and Stochastic Processes
    MTL
Projects verified_user 0% verified
  • D
    Data Structures
    May 2020 - Dec 2020 (8 months)
  • G
    Graph Convolutional Networks
    Jan 2020 - Jul 2020 (7 months)
    Designed a Recommender System utilizing P-GNNs (ICML'19), for product recommendation, modelling users and items as nodes in a graph Implemented Neural Network, Decision Tree, Random Forest and SVM from scratch. Attained an accuracy exceeding 75% by deploying a Deep Learning model (ResNet51) using TensorFlow, executed on Google Colab Developed an efficient Nearest-Neighbour Classifier that can classify each object in O(log S) time using VP-Trees
  • M
    Machine Learning