Some projects I worked on are:1. Search- Added artist search, genre/lang based search- End to end responsibility of anything and everything around search2. DataEngine - Migrated old foodcombo api flow to golang3. Discovery- Worked on adding multiple features to the ETL pipeline- Worked on automating various processes and personalising various elements of discovery4. Accred- Worked on adding various features and removing tech debts- Got through penetration testing by EY by solving multiple cases.

Working closely with the product team for understandingrequirements then reverse engineering them into features andcreating POC's sometimes if the tasks turn complex.Some of the products that I have started from scratch includeWhitecrow Hire, Webbtree, TRMS and also added unique featuresin the older products like Aegis and Candidate platform.I have mostly worked on really cool features like search throughdocument, recommendations that take into account tiniestdetails about candidates, boolean search, aggregated search,csv exports, monthly reports, chrome extensions for grabbingcandidates from more than 10 platforms, and many more.I also have experience in scaling the database, figuring out themost optimal structure, creating microservices and mentoringinterns to improve the team performance.Some of the technologies I use on a daily basis are elasticsearch,nodejs, mysql and chrome extensions. Also I gained experiencein redis, nlp, chrome extensions, sqs here.

Aegis and Talent:This is our platform in which I built features like document searches, 3 way recommendations of job to jobs, job to candidates and vice versa, aggregated searches, Boolean search, csv export to database.Wbbtree​ :Built a chrome extension that acts as a clipboard to copy detailed candidate profiles from platforms like LinkedIn and drops multiple candidates along with their resumes in our platform and automatically creates their entries in our database with a single click.Wbbtree ATS :We’re building these platforms from scratch where I contributed as a lead in designing the architecture as well as built attractive features that include recommendations, aggregated searches with filters, Boolean search, otp login, automated reports and bulk importing of data in multiple databases through crons.

● Word Recommendation Engine​ :Developed a word recommendation engine which suggests similar words by k-means clustering of vectored data set of news entities.● Multilingual Vector​ r:Developed a multilingual text vector which aligns vectors of various languages with English vectors.● ROI Detector​ :Developed an api that performs image processing for region of interest detection. It uses a pretrainedmodel of mxnet.● Videogenie​ :Creating a URL to video converter using moviepy and javascript.Creating its user interface with angular 6.Scraped websites for their contents.Used rabbitmq to add in queue the crons and subscribe them persistently in regular time intervals.● Brand​ press​ :Created an a​ pi that uses ​ Elasticsearch for searching from cache memory instead of database to extract the id then queries the database with specific id​ .● OCR Reader​ :Used ocro​py for text recognition of scanned receipts. Retrained its models for greater accuracy.

I am currently working on a project on nodejs and phantomjs.

Work in sentiment analysis of datasets for an application by building models on brat, stanford corenlp initially and then using python's machine learning libraries.

First project involves sentiment analysis of reviews scraped from websites on nodejs server. The other project is based on machine learning and statistical analysis of database with R.