Nandan Padar Chandrashekar

Senior Software Engineer

Bengaluru, Karnataka, India10 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building machine learning data pipelines.
Significant experience in both startups and enterprise environments.
Proven track record in optimizing complex data processes.

Stackforce AI infers this person is a Data Science and Machine Learning expert with experience in enterprise software and social media platforms.

Contact

nandan.pc@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData EngineeringData ScienceBusiness Application Development

Other Skills

API DevelopmentAWS SagemakerAgile MethodologiesAlgorithmsAmazon Web Services (AWS)Artificial IntelligenceBayesian statisticsBusiness IntelligenceCC++CNNContinuous VerificationConvolutional Neural Networks (CNN)Data AnalysisData Mining

About

I'm a curious learner who is passionate about Artificial Intelligence, Machine Learning and also has experience working in both early stage startup and established enterprise environments. Currently work as Software Engineer at Harness. I earned Masters In Computer Science from University of Southern California. ( Fight on!! ) and my Bachelors in Computer Science from Sri Jayachamarajendra College of Engineering, Mysore, India. Prior to working at Harness, I worked at DeepCurrent, building solution to Manual Data entry problem. During Spring 2017 i worked as a Machine Learning Intern at Jump (social media platform for achieving student aspirations). Also I have worked as Business Application Developer for a period of 3 years at Cisco Systems, Bangalore and also interned at NDS Systems(which later by acquired by Cisco ,now Cisco Video technology Group

Experience

10 yrs 3 mos

Total Experience

2 yrs 6 mos

Average Tenure

4 yrs 3 mos

Current Experience

Eagleview

Senior Software Engineer

Mar 2022 – Present · 4 yrs 3 mos · Bengaluru, Karnataka, India · Hybrid

Harness

Software Engineer

Jun 2019 – Jul 2021 · 2 yrs 1 mo · San Francisco Bay Area

*Building Machine Learning Data Pipelines for Continuous Verification

Machine LearningData PipelinesContinuous VerificationData Engineering

Music audience exchange - max

Data Scientist | Machine Learning Engineer

Nov 2018 – Nov 2018 · 0 mo · Greater Los Angeles Area

Optimized Brand to Musician Match inference process. Brought down run time from 6 hours to 30 minutes

Data ScienceMachine LearningOptimization

Deepcurrent

Data Scientist | Machine Learning Engineer

Sep 2017 – Aug 2018 · 11 mos · Culver city , Los Angeles

Worked on Structured Information Extraction. Developed pre-processing and post-processing pipelines. Worked on U-Net based CNN model for field classification.
Developed CNN based handwritten signature detection model.
Built Document classifier for automatic document segregation.
Developed Entity extraction module to get better contextual meta-data for structured information extraction.
Implemented serverless python wrapper to rendering models developed for inference.
Worked on Docker based solution using AWS Sagemaker for model training and rendered model inferences using Nginx, WSGI and Flask.

Structured Information ExtractionCNNAWS SagemakerDockerMachine LearningData Engineering

Jump holdings, inc.

Machine Learning Intern

Jan 2017 – Jun 2017 · 5 mos · Greater Los Angeles Area

Jump :
Jump is a social media platform which aimed at students to cater their specific aspirations.
http://www.jump.la/
During my internship i delivered :
1. Metadata Collections System : Built Metadata collection system using Facebook graph API.
2. Text Classification System : Designed and developed end to end text classification system using deep learning and non-linear SVM models that classifies blog data to different aspiration.

Metadata CollectionText ClassificationDeep LearningMachine LearningData Engineering

Cisco systems

Business Application Developer

Jul 2012 – Jul 2015 · 3 yrs · Bangaluru

As Business Application Developer i worked mainly in the domain of Order Management and Global Tax & Customs. Work was largely focused on developing application and business reports using different Oracle and Informatica technologies.
Worked on developing API related to Account Receivable(AR) Adjustment which helps in calculating transfer price for the products through Virtual Trader. API developed helps in aggregating data from different system for different range of products like physical shipments, electronic items and different services involved with products.
Worked on developing business reports using JReports upon Informatica Lifecycle Management. As part of this project worked on data retirement from Oracle database to Informatica Lifecycle Managment for Purchase order(PO) and Account Payable(AP) modules.
Analysed and developed business reports related to Order Management , migrated them from Oracle Report platform to Oracle Business Intelligence Publisher.
Developed processing constraint API to restrict order from modification once it reaches point of no return for different business processes.

Order ManagementAPI DevelopmentBusiness IntelligenceBusiness Application Development