Prabhat Kumar

Software Engineer

Bengaluru, Karnataka, India8 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in architecting scalable solutions at Oracle.
  • Strong programming background from Goldman Sachs.
  • Proven track record in software development and innovation.
Stackforce AI infers this person is a SaaS and Fintech software engineer with strong expertise in scalable solutions.

Contact

Skills

Core Skills

MicroservicesSpring Boot

Other Skills

ActiveMQAdaboostAgile MethodologiesAlgorithm DesignAlgorithmsAnalyticsC programmingC++CSSData AnalysisData StructuresDevOpsDocker ProductsGitHTML

About

Currently at Oracle, our team is dedicated to architecting solutions that support a massive user base, focusing to enhance system robustness and scalability. My recent tenure at Goldman Sachs enriched my programming acumen, allowing me to contribute significantly to software products that elevate the fintech industry. The goal is to persistently deliver software that not only fulfills intricate client requirements but also exemplifies innovation and operational distinction. With a commitment to quality and a proven track record in software development, my pursuit of engineering excellence continues to align with the strategic objectives of Oracle.

Experience

8 yrs 11 mos
Total Experience
2 yrs 2 mos
Average Tenure
2 yrs 9 mos
Current Experience

Oracle

Software Engineer (IC3)

Sep 2023Present · 2 yrs 9 mos

Goldman sachs

2 roles

Associate

Promoted

Dec 2021Sep 2023 · 1 yr 9 mos

Analyst

Mar 2020Dec 2021 · 1 yr 9 mos

Visa

Software Engineer

Jul 2018Mar 2020 · 1 yr 8 mos · Bangaon Area, India

  • Worked on cloud-native application enabling the
  • build, test and deployment of applications in an on-demand self-service manner
  • Developed Micro-Services in spring-boot framework and exposed them using RESTful APIs
  • Hands on experience in working with tools like Maven, Hibernate, JPA, ActiveMq, Hikari, SQL
  • Implemented methods for Custom Exception Handling, Soft-delete, Job Scheduling etc.
Spring BootMicroservicesREST APISQLMavenHibernate+1

Iit kharagpur

Student

Jul 2017Sep 2017 · 2 mos

  • User Authentication using Keystroke dynamics
  • Developed an authentication tool using typing behavior as a part of multi-factor authentication
  • Used dwell and flight time features with one class SVM technique to get average accuracy of 82%
Keystroke dynamicsSVM

Tcs innovation labs

Machine Learning Intern

May 2017Jun 2017 · 1 mo · Kolkata Area, India

  • Developed a recommendation system to unbias the classifier with respect to the simulated metadata, useful for clinical trials
  • Devised an algorithm to combat the covariance shift and to remove the negative transfer in the transfer learning algorithm
  • Implemented TrAdaboost (extension of Adaboost) to reweight training set to nullify the effect of distribution dissimilarity with test set
  • Implemented SVM, KNN, Random Forest, decision trees as weak learner in TrAdaboost algorithm to improve F-Score from 0.53 to 0.76
Recommendation systemAdaboostSVMKNNRandom Forest

Iit kharagpur

Student

Sep 2016Nov 2016 · 2 mos

  • Wikipedia Search Engine
  • Designed and developed an search engine to query archived Wikipedia documents of size 56GB
  • Cleaned the data using various techniques like Case folding, stemming, stop word removal
  • Indexed the dump into posting lists, ranked documents by their relevance to the input query,
  • using a combination of ranking techniques like TF-IDF and heuristics, thereby achieving an average
  • meantime of 500 milliseconds
Search engineTF-IDF

Busigence technologies

Data Science Intern

Jun 2016Jul 2016 · 1 mo · Gurgaon, India

  • Developed a tool to combat class Imbalance using Resampling, SMOTE and performance matrices like F1-Score, precision, recall
  • Developed a tool for market segmentation using K-Means, Elbow Method and extended tool to include Density based & soft clustering
  • Implemented above tools on 30 datasets from different domains to check its robustness, with improvement in performance up to 30%
Market segmentationK-Means

Aha taxis

Data Science Intern

May 2016Jun 2016 · 1 mo · Noida Area, India

  • Analysed changing customer behavior on real time using google analytics tool through the segmentation of data
  • Devised methods to better understand the customer behavior with respect to the macro and micro conversions of the goal
  • Optimized various components of google analytics system namely data collection, configuration, processing and reporting

Iit kharagpur

2 roles

Student

Mar 2016Apr 2016 · 1 mo

  • Visualizing and modelling the likeability of Consumer Packaged Goods
  • Used logistic regression to predict the likability of products, identifying the factors affecting it
  • Used Feature engineering to identify 8 important features, improving AUC-ROC from 0.72 to 0.81
  • Developed an interactive dashboard using Tableau providing insights on key performance measures
  • and fragrance attributes of products
Logistic regressionTableau

Student

Feb 2016Mar 2016 · 1 mo

  • Sonar Navigation Prototype for Blind
  • Used Ultrasonic sensor(HC-SR04) on a servo motor with a field of view 120◦ to detect the obstacle
  • Closeness of obstacle was used to vibrate the wrist bands, alerting about the direction and speed

National handball team

Captain

Jan 2009Jan 2010 · 1 yr · Patna Area, India

  • Captained National Handball team of the Patna Region and led the team to the semifinals in the National Handball Meet 2010
  • Captained Gold Meda l winning Handball team for two consecutive years in Regional Handball League in year 2009 and 2010 respectively

Education

IIT Kharagpur

Bachelor's degree — Electrical Engineering

Jan 2014Jan 2018

JNV Bangalore

Higher Secondary Education — Science

Jan 2012Jan 2012

JNV Samastipur (Bihar)

Matriculation — Science

Jan 2007Jan 2012

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