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Our Technical Capabilities

Machine Learning

Softvan has experience and expertise in how organizations can use ML algorithms – Supervised and Unsupervised Learning. 

  • Supervised Learning includes Classification (Decision Tree, SVM, Naive Bayes and KNN algorithms) and Regression (ordinary least square regression, SVR, logistic and linear regression).
  • Unsupervised Learning includes Clustering (K-means and Restricted Boltzmann machine) and Recommendation (Alternative Least Square, Association Rules, FP- Growth and Collaborative Filtering)
Deep Learning

Softvan also combines DL algorithms with AI. We work with Deep Learning Algorithms such as –

  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Network (RNN)
  • Long Short Term Memory (LSTM)
  • Sequence Model 
  • Multilevel Perceptron
Computer Vision

Computer vision tasks include method for image processing, and understanding digital images, and extraction of high dimensional data from the real world in order to produce numerical or symbolic information. Softvan works with technologies like-

  • OCR
  • Image Preprocessing
  • Object Segmentation
  • Object Detection
  • Object Tracking
  • AR
  • VR
Big Data

The term “big data” tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. 

Technologies we use :

  • Hadoop
  • Spark and Spark-R
  • Elastic Map – Reduce
  • ETL
  • Data Preprocessing and Mining (NLP and Advanced NLP)
  • Apache Nutch – Solr
  • Elasticsearch
  • Apache Lucene
Cloud Computing - AWS

Softvan and AWS have combined experience and expertise in Cloud technologies using tools like- 

  • EC2
  • S3
  • Glacier 
  • Lambda
  • API Gateway
  • SNS
  • SES
  • Cognito
  • Mobile Hub
  • CDN
  • RDS
  • DynamoDB
  • Redshift
  • EMR 
  • CloudTrail
  • CloudFormation
  • SQS
  • Code Deploy
  • Code Commit
  • IAM
  • Cloud- Watch
  • Lex
  • Poly
Java - EE

Java EE is actually a collection of technologies and APIs for the Java platform designed to support “Enterprise” Applications which can generally be classed as large-scale, distributed, transactional and highly-available applications designed to support mission-critical business requirements.

Technologies we use :

  • Spring Framework
  • JSF
  • Hibernate Framework
  • Design Patterns
  • Swagger and Unit Testing
  • Web-Services
  • Automation and Selenium Testing

Softvan works with both SQL and NO-SQL databases.

Databases we use :


  • mySQL
  • PostgreSQL
  • ms-SQL
  • mariaDB


  • MongoDB
  • PostgreSQL – NO SQL

Graph Database – Neo 4J

Time Series Database – InfluxDB

Cloud Database 

  • RDS
  • Redshift
  • Dynamo DB


Security Algorithms Implemented

Security is a huge challenge that can have dire consequences if improperly handled.  Softvan ensures security of our clients’ resources by implementing these security algorithms :

Symmetric Algorithms –

  • RSA
  • Diffie – Hellman
  • EIGamal
  • Pallier
  • DSA

Asymmetric Algorithms –

  • AWS
  • DES, 3DES
  • RC2, RC5, RC6
  • BlowFish
  • HMac
  • Network Encoding
Data Visualization

Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science.

Technologies we use :

  • Power BI
  • Tableau
  • Keras  JS
  • Tensor Board

Programming Languages

  • Java – J2EE
  • Python
  • Go Intermediate
  • R – Basic
  • Scala – Intermediate
  • Node JS
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