Bharat Dixit

DevOps Engineer

Delhi, India7 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 7 years of experience in software engineering.
  • Expert in system design and microservices architecture.
  • Proven leadership in mentoring and team guidance.
Stackforce AI infers this person is a Fintech and HealthTech expert with strong full-stack development capabilities.

Contact

Skills

Core Skills

System DesignMicroservices

Other Skills

AWS LambdaAgile MethodologiesAlgorithm DesignAmazon CloudFrontAmazon DynamodbAmazon EBSAmazon EC2Amazon EKSAmazon Relational Database Service (RDS)Amazon S3Amazon SQSAmazon Simple Notification Service (SNS)Amazon VPCAngular8Apache Kafka

About

I am a Sr. Software Engineer, majored in Computer Science & Engineering @ Guru Gobind Singh Indraprastha University, Delhi. I went to USC for a while to study computer sciences. I have a demonstrated history of working since 7 years in the Computer Sciences. Skilled in System Design, architecting applications,DB modelling, Rest, Apollo, Graphql, Backend and Front end logic engineering, Databases, Machine learning, Api Integrations, Systems Integrations, Web Servers, Distributed event streaming system, OAuth, OpenId and application security with strong Debugging Skills.

Experience

7 yrs 1 mo
Total Experience
1 yr 6 mos
Average Tenure
3 yrs 9 mos
Current Experience

Freecharge

Lead SDE

Mar 2024Present · 2 yrs 3 mos · Gurugram, Haryana, India · Hybrid

  • Working in the Merchant Business team.
  • Built and release a complex feature i.e an intelligent location based live tracking service(distributed, highly scalable, fault tolerant system) for field force management.
  • Rearchitecturing and working on existing field force mgmt system(DMS - that caters around 8M hits a day) to reduce anti patterns, improve scalability, availablilty and performance.
  • Other involvements were in leading the features like Merchants Map and other services(like microlap) integrations / prod issues, movement of services from cloud compute env. to kubernetes (EKS) env. to improve availability and for zero downtime, Implementing Freecharge vault in the LBS and DMS services, communication with the stakeholders, ..
  • Leading Lending features such as microlap ( auth and payments services to lending features like LAP),
  • Lead the Arch./ dev / release for another lending feature and made live i.e Gold Loan (for any customer)
  • Leading/ writing LOS ( Loan origination system ) can handle complex loan processing capabilities primarily for LAP ( loan against property ) for merchants.
  • Led the Rearchitecture/ dev / Qa / End to end release for Merchant QR Delinked - Microlap that reduce so much time / hassle of few days went for Extra Merchant QR journey, provides quick initiation of lap to the customers.
  • Contributes to the architectural decisions, reviews, leveraging industry best practices to enhance system performance & scalability.
  • Collaborating closely with the Directors/ EMs of engineering to ensure technical solutions aligned with business goals.
  • Guidance to the team members.
  • Active part of Freecharge recruiting, have taken 40+ interviews for sse, lead sdes
  • Responsibility: System design, development and testing, interviewing candidates.
Apache KafkaMongoDBnodejsReact.jsAmazon EKSRedis+7

Webileapps (india) pvt. ltd. (a kfin technologies company)

Tech Lead

Nov 2022Mar 2024 · 1 yr 4 mos · Hyderabad, Telangana, India · Remote

  • Webileapps is an engineering arm(fully owned subsidiary) of Kfintech, building digital investment banking products for global players.
  • Worked on a KFintech - Investment banking/wealth mgmt. (AIF, PMS, PWM), trading products(Guardian), etc. !
  • Built and release scalable complex architectural changes/ features( digilocker integration with investors onboarding platforms), demat account creation feature, trade rule engine, trading wallet, user service migration to multitenant model ,.. etc
  • Collaborated closely with the CTO and Chief Architects to ensure technical solutions aligned with business goals.
  • Contributed to architectural decisions, leveraging industry best practices to enhance system performance & scalability.
  • Guidance to team members.
  • Communication with stakeholders ( pms, clients, QAs, ..)
  • Active part of recruiting, took 50+ interviews for SE, SSEs.
  • Responsibility: System design, architecture planning, development and testing, interviewing candidates.
  • Domain: Fintech

Gradvine

Mentor

Sep 2022Present · 3 yrs 9 mos · Los Angeles, California, United States

  • Provided one-on-one mentorship to aspiring graduate students, enabling successful admits to highly ranked U.S. universities such as USC, NYU, Stony Brook, and others. Specialize in strategic application planning, reviewing SOPs, and enhancing overall admission competitiveness.

Roro

Sr. Dev. - Full Stack

Jul 2021Aug 2022 · 1 yr 1 mo · Noida, Uttar Pradesh, India · On-site

  • All around building robust and secure web apps and modules !
  • Worked on products : SpindleMed, DOSE(Loreal)
  • built systems from scratch.
  • Responsibility: System design, architecture planning and development.
  • Domain: healthTech, beautyTech

Infosys

Developer - Full Stack

Aug 2019Feb 2021 · 1 yr 6 mos · Bangalore · On-site

  • Trained in MEAN stack technology and passed out as a high performer at Infosys mysore.
  • Certified in Digital Interactions/Full stack technology.
  • Worked in DX (Digital Experience) unit in Web Engineering at Infosys Bangalore .
  • Prj1: Worked for Client Southern California Edison involves creation of New home page and WCAG.
  • Prj2: Worked for static web pages for Client ABN AMRO Bank Netherlands .
  • Responsibility: Developement
  • Domain: Banking, Utilities

Lybrate

Dev. - Data science/machine learning

Jul 2018Oct 2018 · 3 mos · Delhi Area, India · On-site

  • Basically, works on data engineering methods for information extraction,using named entity recognition,NLP techniques ,pandas ,python lang.,fuzzy logic,rules based techniques ,for data deduplication for doctor's db.Other things tried are use of gender prediction model based on seq-to-seq nn. and caffe.,clustering.
  • Predicting medicine for the Doctor according to given symptoms accn. to their historical data using Bayesian ,and using data science methods.
  • Studied deep learning method for data science to be used with NLP like lstm ,word vectors,gensim,glove,rnn,nn,CNN .
  • Responsibility: development
  • Domain: healthTech

Indraprastha power generation company ltd (ipgcl)

Cse Intern

Jun 2018Jul 2018 · 1 mo

  • Worked around Predictive Analytics using regressions.
  • Responsibility: Development
  • Domain: Utilities

Ducat education

Machine learning Trainee

Jan 2018Jul 2018 · 6 mos

  • Studied and worked on various algorithms like Regression(linear,polynomial,multi,ridge,lasso,elastic etc),support vector machine,bayesian,logistic regression,knn,supervised learning techniques for classification and regression,artificial neural network,gradient descent,r2score,recall,precision,confusion matrix,LDA,Unsupervised learning techniques like PCA,dimensionality reduction,kmeans,elbow and silhoutte method ,clustering techniques.Data science concepts like data preprocessing,munging,wrangling,handling missing data using statistics,imputer class,feature scaling,feature selection which is basically part of feature engineering,data visualization,working with pandas ,numpy,scikit-learn,matplotlib,seaborne libraries .

Education

University of Southern California

Master's degree — Computer Science

Jan 2022Jan 2022

Guru Gobind Singh Indraprastha University

Bachelor of Technology — Computer Science & Engineering

Jan 2015Jan 2019

Indira Gandhi National Open University

Post graduation diploma — Applied statistics

Jan 2021Jan 2021

Bhai Parmanand Vidya Mandir, delhi

12th — Science

Jan 2013Jan 2014

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