Ankit Pandey

Senior Software Engineer

Delhi, India7 yrs 4 mos experience

Most Likely To Switch

Key Highlights

Experienced in backend development and API integration.
Proficient in Java SpringBoot and React for full-stack development.
Hands-on experience with machine learning and data visualization.

Stackforce AI infers this person is a Fullstack Developer with expertise in backend systems and machine learning applications.

Contact

ankit.pandey@avalara.com LinkedIn

Skills

Other Skills

AJAXAlgorithmsAngularJSC++Cascading Style Sheets (CSS)Data MiningData StructuresHTML5JavaJavaScriptMongoDBNode.jsPythonRReact.js

Experience

7 yrs 4 mos

Total Experience

1 yr 5 mos

Average Tenure

2 yrs

Current Experience

Avalara

Senior Software Engineer

Jun 2024 – Present · 2 yrs · Pune, Maharashtra, India · Hybrid

Chegg inc.

2 roles

Software Engineer 2

Oct 2022 – Jun 2024 · 1 yr 8 mos

Software Engineer

Nov 2021 – Oct 2022 · 11 mos

Rocketlane

Software Development Engineer

Jul 2020 – Oct 2021 · 1 yr 3 mos · Tamil Nadu, India

Worked on various backend projects. Project wide chat, Dynamic Templates, Audit logs for tasks. Designed DB schemas and api contracts.

Pickyourtrail

Software Development Engineer

Jul 2019 – Jul 2020 · 1 yr · Chennai, Tamil Nadu, India

Working on Java SpringBoot Application for the product website of Pickyourtrail. Contributed in various projects for API Integration involving the knowledge CS fundamentals, problem solving and database redesigning. Worked on React Front End tasks to get a full exposure of Full Stack Environment helping understand the overall product flow.

Deloitte india (offices of the us)

Business Technology Analyst

Jan 2019 – Jul 2019 · 6 mos · Gurugram, Haryana, India

Worked On Oracle BI Reports and HCM Extracts using SQL. Learnt Database schema and design used by Oracle ERP systems.

Defence research and development organisation (drdo)

Software Engineer Intern

May 2018 – Jun 2018 · 1 mo · Greater Delhi Area

Project Description :- The automated identification and quantification of materials using Raman spectroscopy dataset with the aid of Machine Learning approach.
Contributed in the visualization of dataset and developing a neural network architecture for predicting a molecule in a given sample.
Implemented using Python libraries:- Keras, Sklearn, NumPy and Pandas

Education

Vellore Institute of Technology

Bachelor of Technology (B.Tech.) — Information Technology

Jan 2015 – Jan 2019

Army Public School Kaluchak

12th — CBSE (PCM)

Jan 2013 – Jan 2014

Army Public School Kaluchak

10th — CBSE

Jan 2011 – Jan 2012

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