S

SACHIN SINGH

Machine Learning Engineer

Bengaluru, Karnataka, India7 yrs 10 mos experience
Highly Stable

Key Highlights

  • Expert in building CI/CD pipelines for machine learning models.
  • Developed advanced computer vision solutions using YOLO and OpenCV.
  • Winner of code ninja competition organized by Sopra Steria.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and Data Science.

Contact

Skills

Core Skills

Aws SagemakerMachine LearningData Science

Other Skills

Amazon Web Services (AWS)CC++Cascading Style Sheets (CSS)Data StructuresDatabase Management System (DBMS)Deep LearningHTMLJavaJavaScriptK-Nearest Neighbors (KNN)Large Language Models (LLM)Linear RegressionLogistic RegressionMVC Framework

About

Commendable experience in Python, SQL, Sagemaker, AWS, Machine Learning, Data Science Skilled in: Sagemaker :- • Orchestrate and build the multiple training and inference pipeline on multiple models for batch prediction on client chat data to provide conversations classification and reason of conversation. • Orchestrate the pipeline to accommodated historical as well as immediate provided conversation. • Pipelines are designed and structured to accommodate CI/CD, unit test, pre trained models, rescheduling along with movement of pipeline to test and prod environment. • Schedule the retraining of the model based on the model monitoring report. Digital Verification System (Computer Vision , YOLO, OCR) :- Built a product using CNN, YOLO, OCR, OpenCV to identify the ID card, extract the details and check for its authenticity. Integrated and built the solution to detect the hologram and its authenticity from the live video using OpenCV and YOLO. Time Series Forecast(AIOPS) :- Use Time Series Forecasting to track and detect the live anomalies on server by extracting the data from Prometheus using Python and use Grafana for dashboard. Semantic Search Engine :- Build Semantic Search Engine which matches with the incident and provides a similar resolution of the incident that occurred historically. Credit Risk and XAI :- Develop the predictive model using the ensemble technique to determine the risk of lending a loan to the customer. Built XAI algorithm to provide an explanation to the customers as, why their loans have a higher chance of defaulting. Build CI/CD pipelines and dashboard. Unsupervised Customer Segmentation Analysis :- Built a Machine-Learning algorithm to segment customers based on their behavioural and demographical data. Route Optimizations :- Worked on building the optimal route around 300 locations of client using OR-Tools which resulted in reducing the covering time from 7 days to 5 days. Oracle Apps ETL :- Created Inbound jobs using SQL and PLSQL from Oracle and sent the data to the client server, also fetched the result files from client server and after validation, populated the data in oracle core tables. Achievements:- Winner of code ninja organised by Sopra Steria.

Experience

7 yrs 10 mos
Total Experience
2 yrs 7 mos
Average Tenure
2 yrs 11 mos
Current Experience

Resmed

Machine Learning Engineer

Jul 2023Present · 2 yrs 11 mos · Bengaluru, Karnataka, India · Hybrid

Tiger analytics

2 roles

Machine Learning Engineer

Jan 2023Jul 2023 · 6 mos

AWS SageMakerAmazon Web Services (AWS)Machine Learning

Senior Analyst - Machine Learning Engineer

Dec 2021Jan 2023 · 1 yr 1 mo

Amazon Web Services (AWS)Data ScienceData StructuresMachine Learning

Sopra steria

2 roles

Senior Software Engineer

Promoted

Jul 2021Dec 2021 · 5 mos

Data ScienceData StructuresMachine Learning

Software Engineer

Aug 2018Jul 2021 · 2 yrs 11 mos

Data ScienceData StructuresMachine Learning

Education

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology — Computer Science

Jan 2014Jan 2018

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