Mar 2020 – Sep 2023 · 3 yrs 6 mos

• Part of ESG Team -
• 1. IAM - Build an Identity Access Management (Azure AD, Auth0)
• 2. Middleware - Integration framework for tracking end-to-end dollar flow (Apache Camel, Spring)
• 3. CDR - Central Data Repository, working on ETL pipeline, Airflow dags, etc. (Big Data, Spark, Scala, Databricks)

Jul 2018 – Mar 2020 · 1 yr 8 mos · Gurgaon, India

• Part of Property Ops Team:
• 1. Staff Management
• 2. Configuration Service
• 3. Traces
• 4. Cash Management
• Distributed Workforce Management Homes
• 1. Staffing Service, Property Service, Remote check-in: Some of the things are user profiling, locations/clusters, team hierarchy, authentication, authorization, location tracking, dynamic task creation (on check-in-checkout), workflow design, bulk upload, notifications, etc.
• 2. BFF/Facade Layer

Aug 2016 – Jul 2018 · 1 yr 11 mos · Bengaluru Area, India

• Worked on a project Tusker also known as Logistimo Fleet. It's a dynamic transportation management in the last mile. I worked on the intelligent assignment algorithm keeping in mind multiple pickups, drops, service, backhauls, lunch break etc.
• Some highlights
• 1. Assignment problem, Link: https://medium.com/@abhilashjn85/truckers-profit-weight-level-optimization-43bc7e31340c
• 2. Search, Link: https://medium.com/@abhilashjn85/clustering-neighbor-search-more-128277e0300b
• The tusker team won the MIT Innovation Award.
• Technologies and frameworks used were Java, Spring, Redis, AWS, Angular JS, Docker, etc.

Jul 2015 – Jul 2016 · 1 yr · Gurgaon, India

• Worked on the complex problem of de-duplicating the hotels and rooms coming from different OTAs. This involves the use of scoring technique and machine learning to identify the good, partial and bad matches.
• AB Experiment Service, Reporting Service, Compression/Decompression Engine.
• Some highlights of clustering techniques which was done in deduplication. Link: https://medium.com/@abhilashjn85/clustering-neighbor-search-more-128277e0300b

Jan 2015 – Jun 2015 · 5 mos · Gurgaon, India

• 1. Similarity Engine: Aims at predicting those metrics which are non-cached, helps in increasing the hit rate. It has improved the absorption rate and accuracy rate.
• 2. Couchbase Engine: It was a standalone application where any user can add/delete/get the result from cache.
• 1 Patent on Dynamic Caching System Link: https://www.google.com/patents/US20170052976

Jun 2014 – Jul 2014 · 1 mo · Chennai Area, India

• Worked on Solving TSP for more than 100 cities using balanced combination of Genetic Algorithm and Simulated Annealing.—Traveling Salesman Problem (TSP) is a kind of NP-Hard problem which can't be solved in polynomial time for asymptotically large values of n.
• In this paper a balanced combination of Genetic Algorithm and Simulated Annealing is used. To improve the performance of finding optimal solution from huge search space, we have incorporated two things-
• 1. Use of tournament and rank as selection operator.
• 2. Inver-over operator Mechanism for crossover and mutation .

Feb 2014 – Apr 2014 · 2 mos

• Developed mini games using Python on codeskulptor platform.

Jun 2013 – Jul 2013 · 1 mo · Lucknow Area, India

• Summer Training on J2EE with Struts Framework. Worked on Intranet Mailing System Project. It consists of all basic features along with other features which makes it more secure and easy to mail.