Shantanu Tripathi

Software Engineer

Gurgaon, Haryana, India6 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in designing scalable systems and optimization.
Proficient in both frontend and backend development.
Strong experience with AWS and Python for data processing.

Stackforce AI infers this person is a Fullstack Developer with expertise in SaaS and cloud-based solutions.

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Skills

Core Skills

Frontend DevelopmentBackend DevelopmentPythonAws

Other Skills

API GatewayAWS LambdaAlgorithmsAngularJSC++Data ScienceData StructuresDeep LearningDesign PatternsDesign PrinciplesFlaskHTML/CSS/JSJavaJavaScriptJavaScript Libraries

About

I focus on problem solving in general, optimisation and designing reliable and scalable systems. I am a keen learner and a regular reader of articles/blogs on software engineering. Tech stack: ► Backend: Springboot, Ruby on Rails, Flask, Nodejs ► Frontend: HTML/CSS/JS, React ► Databases: Postgres, MySQL, Mongodb ► Langs: Kotlin, Java, JS, Python, Ruby, C/C++ ► Devops: Jenkins, k8s, terraform, GitHub actions, ArgoCD ► ML: Scikit-learn, Keras, Numpy, Pandas

Experience

6 yrs 10 mos

Total Experience

3 yrs 5 mos

Average Tenure

6 yrs 6 mos

Current Experience

Syfe

3 roles

SDE 3

Jan 2024 – Present · 2 yrs 5 mos

SDE 2

Promoted

Jul 2021 – Jan 2024 · 2 yrs 6 mos

SDE 1

Nov 2019 – Jun 2021 · 1 yr 7 mos

Cogoport

Software Development Engineer

Jun 2019 – Oct 2019 · 4 mos · Mumbai, Maharashtra, India

► Completely owned the Front end side of the Project Management Tool of the company built from scratch.
► Made both backend and frontend side of the Enquiry Management System of the core product.
► Contributed effectively as a team in the development for the Big Saver Day Sale of the company.

HTML/CSS/JSReactBackend DevelopmentFrontend Development

Elucidata corporation

Software Development Intern

May 2018 – Jul 2018 · 2 mos · New Delhi Area, India

► Contribution:
▸ Made one python package for detection/extraction of some special kind of columns in mass spectrometry CSV files
▸ Made another python package to convert one or more mass spec CSV files into a singe GCT file on the basis of the columns detected
▸ Made a wrapper around these packages and deployed it to AWS Lambda
▸ Made an API Gateway to trigger the created lambda
▸ Made a UI for one of Polly( Trademark Product of Elucidata) apps (SampleQC), which consumes the created API.
► Result:
As a result, when a user input some mass spec CSV files to SampleQC, they are automatically processed in lambda and converted to GCT, which in turned is stored to S3 bucket. Now that single GCT file is processed (instead of multiple CSV files) by the sample qc algorithms.
► Tech/Framework Used:
numpy, pandas, cmapPy, Elastic Search, Amazon DynamoDB, AWS Lambda, AWS API Gateway, AWS S3, Zappa, Boto3, Flask, AngularJS