Priyanka Singhal

Senior Software Engineer

Bengaluru, Karnataka, India8 yrs experience
Most Likely To Switch

Key Highlights

  • Expert in Java and Oracle ADF development.
  • Proven experience in backend services for automotive solutions.
  • Strong foundation in machine learning and data structures.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and Automotive industries.

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Skills

Core Skills

JavaAwsOracle AdfCore Java

Other Skills

AJAXAlgorithmsData StructuresDynamoDBHibernateJ2EE Web ServicesJUnitJava Enterprise EditionJava Web ServicesJavaScriptKnockoutJSLinuxMachine LearningObject Oriented DesignObject-Oriented Programming (OOP)

About

Experienced Software Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Enterprise Software, Oracle Application Development Framework (ADF), Android, Core Java, and Java. Strong engineering professional with a Master of Technology - MTech focused in Computer Science from Indraprastha Institute of Information Technology, Delhi.

Experience

Paypal

Senior Software Engineer

Sep 2024Present · 1 yr 6 mos · Bengaluru, Karnataka, India

Capillary technologies

Software Developer

Jul 2021Aug 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Tekion corp

Software Developer

Nov 2018Sep 2019 · 10 mos · Bengaluru, Karnataka, India

  • Software Engineer Nov,18 - Sep,19
  • Tekion is a next gen, cloud-native platform with the power of Big data, Internet of Things (IoT) and
  • ML/AI for the automotive retail industry
  • ◦ Dealership Management: DMS is an end to end platform for Automobile dealerships. It includes Sales,
  • appointment booking, servicing, parts ordering etc. Evaluated various Databases like Cassandra, MongoDB and
  • DynamoDB. Built backend services/modules hosted on AWS using Java, DynamoDb, Spring, REST, Push
  • Notifcations etc. Integrated with backend APIs of automobile manufacturers
JavaDynamoDBSpringRESTAWS

Oracle

Software Developer

Jul 2015Nov 2018 · 3 yrs 4 mos · Bengaluru Area, India

  • Working as part of the core development team for the product- CPQ Cloud (Earlier known as Bigmachines, acquired by Oracle in 2013) on developing new features and enhancements for CPQ using Oracle ADF framework, core Java and Oracle JET. Oracle ADF is an end to end java framework used for building enterprise applications
  • ◦ Back end features:
  • ∗ Worked on REST APIs used for communicating with the server to retrieve resources consumed for generating the UI artifacts, business components and operations to modify/generate data with server side validation
  • ∗ Re-factored legacy code to achieve more abstraction in hierarchy using interfaces, abstract classes, factory design and builder pattern
  • ∗ Data model layer changes including model alteration, data upgrade and fix scripts to support new features
  • ∗ Writing test driven code and designing JUnits with high code and use case coverage to ensure correctness of application and early detection of bugs. Peer code reviews
  • ◦ Customer Issues: Timely resolution of direct customer issues on short notice and tight deadlines. Implementing enhancement and fixes promptly on legacy code for customer satisfaction
  • ◦ Front end features: Developing accessible and intuitive user interfaces used for displaying complex CPQ business data.
  • ◦ JET Framework: Developing RequireJS modules to increase reusablity and maintainability of CPQ code. Desigining template based UI for code efficiency, leveraging KnockoutJS’s two way bindings and asynchronus REST calls to provide seemless experience to end users
Oracle ADFCore JavaREST APIsJUnitKnockoutJS

Indraprastha institute of information technology, delhi

Thesis: Authorship Attribution using Machine Learning

Sep 2014Jul 2015 · 10 mos · Greater Delhi Area

  • Authorship Attribution:
  • Evaluated 16 feature set including Character Ngram, Word Ngram, Sentence Length, Function Word and POS Ngram from feature categories including Lexical, Character and Syntactic
  • Reduced dimensions of features using Information Gain for better classier performance
  • Used 4 classier algorithms (SVM , Naive Bayes, Burrows Delta, Decision Tree) to determine best
  • feature set-classier pair for given problem
  • Ranked algorithms on Precision, Recall and F-Measure, veried through k-fold cross validation
  • Learning Assessment:
  • Scored student submissions using Cosine Similarity, Jackard Similarity and Global Weight Score after pre-processing data with NLP techniques like Stemming, Stop Words removal etc
  • Spearman correlation on learning scores and instructor grades was done to show whether such learning measuring techniques can be used to quantify students learning as a whole

Defence research and development organisation (drdo)

Research And Development Intern

Jan 2012Jun 2012 · 5 mos · Greater Delhi Area

  • Submitted review paper and detailed study on robotic perception and cognition. Resarched on obstacle avoidance using PSO and ACO. Study on Image Classication Using ACO in Remote Sensing Area

Education

Indraprastha Institute of Information Technology, Delhi

Master of Technology - MTech — Computer Science

Jan 2013Jan 2015

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