Summary
Overview
Work History
Education
Skills
Projects
Websites
Timeline
Generic

SIDDHANT SANADHAYA

Gurugram

Summary

Good knowledge of Data Science and Machine Learning. Proven experience in Deep Learning with a track record of building ML and DL models with the help of robust Python programming. Excellent logic building, troubleshooting, problem-solving skills with a track record for solving complex problems.

Overview

4
4
years of professional experience

Work History

Software Development Engineer

StatusNeo
01.2023 - Current
  • Working on supply-chain data science use cases
  • Using Generative AI, NLP, LLM, RAG created E-Commerce solutions
  • Building ecommerce ML solutions such as Recommendation Systems, Suggested Stores, and Buy Again
  • Using SOTA NLP models for semantic analysis of large text data using PySpark
  • Building automated model training (AutoML) solutions for a variety of ML frameworks
  • Collaborating with the deployment team and working on Kubernetes & Kubeflow.

Python Developer

Mckinley Rice Creativity
03.2022 - 01.2023
  • Working on medical images for computer vision tasks using Python and its ML/DL libraries
  • Built REST APIs using (Django, Flask, and Fast API) frameworks
  • Done Image Processing using Open-CV
  • Worked on AWS.

Project Engineer

Rawattech
08.2020 - 03.2022
  • Worked as a Machine learning Project engineer in rawattech info private limited
  • I am leading the team for the "Roll number detection system" being developed by the firm
  • Handled 1 language[Maths] independently out of three in a Deep learning based offline {handwritten} OCR system
  • The Project aims to detect and recognise multilingual handwritten text.

Education

M.Tech - Applied AI

Visvesvaraya National Institute of Technology, Nagpur
01-2026

B.Tech/B.E. - Computer Engineering

Rajasthan Technical University, Jaipur
01.2020

Skills

  • Generative AI
  • Langchain
  • RAG
  • Django Rest API
  • Deep Learning
  • SQL
  • Rest Full Webservice
  • AWS
  • MySQL
  • Flask Web Framework
  • Artificial Intelligence
  • Machine Learning
  • Python
  • Data Structures
  • Linux
  • NLP

Projects

Customer Churn Prediction, 2 Weeks, The project aims to predict whether a particular customer will move out of a telecom service or not, based on the input parameters. It was a classification problem, I used algorithms like KNN, Logistics regression, random forest for the project. Automatic Annotation Tool, 1 Month, I designed the project to reduce the manual work to annotate images for object detection and Mask-RCNN training. While a person takes a day to annotate 300-400 images, my tool can annotate 1000 images in a single hour.

Timeline

Software Development Engineer

StatusNeo
01.2023 - Current

Python Developer

Mckinley Rice Creativity
03.2022 - 01.2023

Project Engineer

Rawattech
08.2020 - 03.2022

M.Tech - Applied AI

Visvesvaraya National Institute of Technology, Nagpur

B.Tech/B.E. - Computer Engineering

Rajasthan Technical University, Jaipur
SIDDHANT SANADHAYA