Saurabh Lall

Software Engineer

Bengaluru, Karnataka, India7 yrs 7 mos experience
Highly Stable

Key Highlights

  • Expert in backend development with Go, Java, and Python.
  • Strong foundation in machine learning and data analysis.
  • Experience in full-stack development with Angular and .NET.
Stackforce AI infers this person is a Backend Developer with expertise in Machine Learning and Data Analysis in the Manufacturing sector.

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Skills

Core Skills

Machine LearningData Analysis

Other Skills

.NET Core.NET FrameworkAgile EnvironmentAlgorithms and Data StructuresAmazon Relational Database Service (RDS)Amazon Simple Notification Service (SNS)Amazon Web Services (AWS)AngularApollo GraphQLBack-End Web DevelopmentBootstrapC++DjangoFlaskFull-Stack Development

About

Backend Developer (Go, Java, Python, Redis, PostgreSQL, AWS) with prior experience in Full Stack Development(Angular, .Net, GraphQL). An Artificial Intelligence and System Design enthusiast.

Experience

Angel one

Software Development Engineer 3

Apr 2024Present · 1 yr 11 mos · Bengaluru, Karnataka, India · Hybrid

Zestmoney

2 roles

Software Development Engineer 3

Promoted

Apr 2023Apr 2024 · 1 yr

Software Development Engineer 2

Nov 2021Mar 2023 · 1 yr 4 mos

Infineon technologies

2 roles

Software Developer

Jul 2018Nov 2021 · 3 yrs 4 mos · Bangalore

Intern

Jan 2018Jun 2018 · 5 mos · Bangalore

Tata steel

2 roles

Technical Intern

May 2017Jul 2017 · 2 mos · Jamshedpur Area, India

  • Property Prediction Model to predict the Laying Head Temperature for the Wire Rod Mill. The Laying Head Temperature acts as an important process deviation measuring parameter. My goal was to analyse the large chunks of raw unstructured data of the Wire Rod Mill to gain insights such as restricting the data to domain specific values, determining the parameters on which the LHT value depended, feature reduction on the determined parameters, applying various learning models like Regression, K Nearest Neighbors, Decision Tree. Finally, the Random Forest Regressor was chosen as the best tool for making predictions. I was also responsible was making a standalone application based on Python for the model predictions which would automatically read the data from the database and use the Random Forest Regressor Model which had previously been trained stored as a pickle file for making instant predictions.
Property Prediction ModelData AnalysisMachine LearningPython

Technical Intern

Dec 2016Jan 2017 · 1 mo · Jamshedpur Area, India

  • Developed Property Prediction for the New Bar Mill at Tata Steel Limited to determine the Furnace Rolling Temperature.

Education

Birla Institute of Technology, Mesra

Bachelor of Engineering (BE) — Computer Science

Jan 2014Jan 2018

Carmel Junior College

Higher Secondary Education — Computer Science

Jan 2012Jan 2014

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Saurabh Lall - Software Engineer | Stackforce