Kishan Vaishnani

I am Kishan Vaishnani, Currently, I am Spearheading Delhivery App Development.

  • vaishnanikishanv1
  • +91-7769998842
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Publications

2023

Impact of Stain Normalisation Technique on Deep Learning based Nuclei Segmentation in Histopathological Image

Publications

2023

Impact of Stain Normalisation Technique on Deep Learning based Nuclei Segmentation in Histopathological Image
Kishankumar Vaishnani, Bakul Gohel, Avik Hati.
Advances in Intelligent Computing and Applications (AICAPS)
[Paper URL]

Achievements

  • Successfully developed a prototype for a smart microscope, earning recognition from the Gujarat government and securing funding for its implementation.
  • Best Paper award by IEEE R10 Humanitarian Technology Conference.
  • AIR 1746 in GATE examination.
  • Best Intern award in IoT internship.
  • Best Team award in ML internship cum competition.
  • Served as General Secretary @ SCOE-IT.
  • 3rd in Inter DA-IICT Badminton Doubles.
  • 3rd in Inter DA-IICT running.

Experience

July 2022 - Preset
Developer Engineer at Delhivery, Bengaluru

  • In my current role, I lead the Delhivery app with 10 lakh active users, leveraging React Native. Noteworthy achievements include integrating MoEngage and Crashlytics for improved performance and marketing. As owner, I oversee sprint planning, design, tech approaches, and IOS/Android releases. Previously, I led C2C frontend integration and contributed to Spring Boot backend APIs. In an earlier role, I integrated international users into Delhivery One, enhancing UI based on behavioral analysis. My free time involves providing a B2C Chatbot prototype and suggesting strategies for release enhancement. My journey reflects a harmonious blend of leadership, technical expertise, and impactful contributions.

Feb 2020 - Dec 2020
CEO & Co-Founder at DecorOwl

  • As a dynamic professional, I led the development of an innovative augmented reality (AR) application for furniture stores. Operating on a platform-as-a-service (PaaS) model, the app allows users to seamlessly explore furniture offerings store-wise or collectively. My role highlighted expertise in product development and a user-centric approach, showcasing leadership capabilities in navigating CEO responsibilities, sales strategies, and persuasive communication. Beyond initial service, my commitment to post-service enrichment ensures a lasting impact for both end-users and businesses.

Jan 2019 - May 2019
Applied Artificial Intelligence Intern at CDAC, Pune

  • I have implemented a Convolutional Neural network for classifying stages of diabetic retinopathy disease. Where I have enhance my Machine Learning modal training on the servers.

Education

August 2020 - May 2022 CGPA 8.93/10
Master in Technology in ICT- Machine Learning
from DA-IICT, Gandhinagar

  • IT412 – Natural Language Processing
  • IT506 – Acclerated Computing
  • IT507 – Advanced Image Processing
  • IT524 – Computer Vision
  • IT542 – Pattern Recognition Machine Learning
  • IT550 – Information Retrieval

August 2015 - May 2019 CGPA 8.41/10
Bachelor Engineer in Information Technology
from University of Pune

  • Data Structure
  • Algorithm
  • Operating System
  • Database Management System

Skills

React Native
Master
VueJs
Master
Deep Learning
Advance
Python
Advance
Java Script
Advance
GenAI
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Fast API
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HTML/CSS
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