Sandeep Rathod
Mumbai
Summary
Machine Learning Engineer with 2.7 years of experience collaborating with clients globally to develop and deploy AI solutions. Expertise in GCP, Machine Learning, NLP, Generative AI, Document AI, statistical modeling. Proven ability to understand business needs, translate them into data-driven solutions, and deliver impactful results.
Overview
3
3
years of professional experience
5
5
Certification
Work History
Sr. Machine Learning Engineer
Quantiphi Inc
04.2024 - Current
- Developed and deployed LLM-based solutions for content generation, summarization, and translation, significantly improving content creation efficiency for marketing channels, reducing manual effort and increased content reach.
- Migrated critical machine learning pipeline from Databricks MLflow to GCP-based infrastructure, resulting in 50% reduction in model training time and 15% decrease in operational costs.
- Conducted interviews with diverse pool of candidates for position of machine learning engineer
- Mentoring new recruits by providing guidance and support throughout their comprehensive training program
Machine Learning Engineer
Quantiphi Analytics Solution Private
07.2022 - 03.2024
- Traditional ML: Developed and deployed machine learning pipeline using Vertex AI to predict vehicle transaction likelihood, leveraging features like fuel level, odometer readings, and location data. Implemented data preprocessing techniques to handle class imbalance and feature engineering to optimize model performance. Utilized Random Forest and Gradient Boosting algorithms for classification, achieving ~78% F1 score on test dataset.
- NLP: Developed a semi supervised machine learning model which was composed of 3 ML models used for Intent creation and Intent Mapping using Machine Learning. ML classifier model was used to map default fallback user utterances into existing intents with probability>0.7. ML clustering model tries to build clusters of similar user utterances which are mapped as not defined and keyword generation api generates keywords of each cluster based on rake.
- GenAI: Leveraged LLMs and NLP API for aspect based sentiment analysis and identifying top quality issues removing complete manual work and achieving 95% accuracy, reduced complete manual work and helping business make impactful decisions
- DocAI: Developed GCP automated pipeline for extracting entities(10+) from purchase order documents for Ecolab using GCP custom document classifier and Extractor models for multiple(9+countries) countries. Implemented clustering,Business rule checks,unit testing and modularization of code. Utilized kubernetes engine for scaling and employed serverless approach using cloud function and cloud run.
Intern Machine Learning Engineer
Quantiphi Inc
01.2022 - 07.2022
- Developed ML Regressor Model for forecasting customer lifetime value(CLTV) for customers to drive insights to segregate more important customers and less interactive customers to improve business profit.
- Built multiple Traditional ML models like Regression, SVM, Random Forest, XGBOOST and pretrained CNN models like VGG16,Inception Resnet V3 and Models that are specialized for processing of sequential data like RNN,LSTM and GRU also explored transformer based models
Education
Bachelors of Engineering, Electronics -
Fr. Conceicao Rodrigues College of Engineering
Mumbai01.2022
Expertise
Python,C++,JAVA, Google Cloud Platform, BigQuery,Cloud Storage,Cloud Function,Vertex AI,Vertex AI-MLOps,Cloud Dataflow,Cloud Build,Scheduler, Cloud Composer,Cloud Firestore,DocAI,NLP API,GenAI,AutoML,BQML,AI Platform Vizier, Sklearn, Keras, OpenCV,TensorFlow, Pytorch, KFP, Highcharts, Matplotlib, SQL, Cloud Firestore, BigQuery, Machine Learning Modelling,Generative AI,LLM,NLP,RAG,Image Recognition,Statistics & EDA, NLP, Docker, Marketing analytics(ML)
Certification
- Google Cloud Certified Professional Machine Learning Engineer, Google, 12/01/2022
- Google Cloud Certified Associate Cloud Engineer, Google, 07/01/2022
- Build and Deploy Generative AI Solution using RAG Framework, Google Badge, 10/01/2023
- Natural Language Processing(NLP) using Deep Learning, Analytics Vidhya, 12/01/2020
- Python Data Structure, Coursera, 08/01/2020
- Programming for Everybody(Getting started with python), Coursera, 07/01/2022
Languages
English
Absolute fluency
Hindi
Absolute fluency
Marathi
Native language
Publications
Published Research Paper on Detecting 22 Facial Compound Emotions using Machine Learning, I used pretrained Inception Resnet V3 model to achieve better results., Link
Timeline
Sr. Machine Learning Engineer
Quantiphi Inc
04.2024 - Current
Machine Learning Engineer
Quantiphi Analytics Solution Private
07.2022 - 03.2024
Intern Machine Learning Engineer
Quantiphi Inc
01.2022 - 07.2022
Bachelors of Engineering, Electronics -
Fr. Conceicao Rodrigues College of Engineering
Similar Profiles
Karishma ThakurKarishma Thakur
Assistant Manager - Finance at Quantiphi IncAssistant Manager - Finance at Quantiphi Inc
Darshan BankarDarshan Bankar
Framework Engineer at Quantiphi IncFramework Engineer at Quantiphi Inc
BHAIRAVI NBHAIRAVI N
Senior Software Developer at Quantiphi Analytics Solution PrivateSenior Software Developer at Quantiphi Analytics Solution Private