Div Ramesha

1. Comparing Search Engine Results - Spearman's Rank Coefficient.
2. Web Crawling using Crawler4j and show statistics on top of it.
3. Creating an Inverted Index Using a Hadoop Cluster for n-grams.
4. Indexing the Web Using Solr and searching web results.
5. Enhancing Your Search Engine - AutoComplete + AutoSuggest.

1. Yelp Dataset Exploration
2. SON Algorithm - Ta Feng Dataset
3. Similar Itemsets - LSH Algorithm with Jaccard
4. Community Detection - LPA and Girvan Newman Algorithm
5. Uniqueness Detection - Bloom Filtering + Flajolet Martin Algorithm
6. Recommendation System - Model Based CF + Item Based CF + User Based CF

1. ER and EER diagram
2. SQL queries (PostgreSQL)
3. Geospatial Data Handling
4. Machine Learning
5. Data Visualizations

1. Simple Website involving HTML and CSS.
2. Application to fetch data from the server as JSON and render in simple page.
3. Implement eBay finding API in PHP.
4. Implement eBay product search in AngularJS and NodeJS.
5. Develop eBay product search android mobile app.

1. Optimally place m agents on a n*n matrix such that no two agents intersect.
2. Intelligent game playing agent for choosing next best applicant.
3. Efficiently traverse in a matrix involving Markov Decision Process uncertainity

• Worked on setting up Sprinklr's secret storage system using HashiCorp Vault and HashiCorp Consul which carries out key management across 5000 servers.
• HashiCorp’s Vault secures, stores, and tightly controls access to secrets in modern computing, handling leasing, key revocation, key rolling, and auditing.
• Ansible playbooks were written to install and configure Vault and Consul in a highly-available, redundant fashion.
• Established a backup service to backup data stored in… Show more

• Worked on setting up Sprinklr's secret storage system using HashiCorp Vault and HashiCorp Consul which carries out key management across 5000 servers.
• HashiCorp’s Vault secures, stores, and tightly controls access to secrets in modern computing, handling leasing, key revocation, key rolling, and auditing.
• Ansible playbooks were written to install and configure Vault and Consul in a highly-available, redundant fashion.
• Established a backup service to backup data stored in Consul. Show less

Developed multiple modules in an internal Spring Web application which includes:
• cost-dashboard: getting info about hosting a partner in Sprinklr with details about 1400+ partners
• resource-manager: collect data and manage 4 different data stores used across the platform.
• support-dashboard: integrate JIRA and Zendesk to ease access along with custom metrics etc.
• partner-status: getting the realtime analysis of a partner from sensu, graylog and influxdb
• customer-details:… Show more

Developed multiple modules in an internal Spring Web application which includes:
• cost-dashboard: getting info about hosting a partner in Sprinklr with details about 1400+ partners
• resource-manager: collect data and manage 4 different data stores used across the platform.
• support-dashboard: integrate JIRA and Zendesk to ease access along with custom metrics etc.
• partner-status: getting the realtime analysis of a partner from sensu, graylog and influxdb
• customer-details: enabling/disabling partner level features
• red-groups: automated control access to different modules Show less

In this information era, internet is the primary tool to find our resources whether on the professional front or the personal space. As e-commerce sites are growing at a rapid rate, so are the demands for efficient and effective tools for retrieval of query images. IBOPS system aims at identifying product and retrieving similar products from online shopping sites based on user specified image. Finding information based on an object's visual appearance is useful when specific keywords for the… Show more

In this information era, internet is the primary tool to find our resources whether on the professional front or the personal space. As e-commerce sites are growing at a rapid rate, so are the demands for efficient and effective tools for retrieval of query images. IBOPS system aims at identifying product and retrieving similar products from online shopping sites based on user specified image. Finding information based on an object's visual appearance is useful when specific keywords for the object are not known.
The image based product search engine will make the lives of online shoppers more picturesque. There is a huge gap between what the customer wants to convey and what the computer really understands. This IBOPS system will take this interaction to a new dimension of pictures. Show less

A Learning Management android app developed for IBM’s TGMC Competition. This app provides users with courses library and helped them learn at their own pace and time. Quiz component was attached to each course to enable self evaluation.