Jul 2023 – Aug 2025 · 2 yrs 1 mo

Aug 2021 – Jul 2023 · 1 yr 11 mos

Mar 2020 – Jul 2021 · 1 yr 4 mos

• I work in the Cloudtech. organisation with my team primarily focussed on enabling cloud document sync for Adobe product users. My work here ranges from conceptualising the problems, to designing an effective solution, and implementing them on Production level. My work involves interacting with upstream and downstream clients to understand the requirements, working out effective consensus building solution keeping in mind the scale, and working out the execution details.
• As an individual, I get full freedom to work on relevant problems, and the trust to execute them.
• Work primarily involves using Java, JS for programming, Solution designing using efficient algorithms and tech. stack of AWS (SQS, DB etc.), Azure, Kafka etc.

Jul 2018 – Feb 2020 · 1 yr 7 mos · Bangalore

• I Work as a part of the Blockchain Solutions team in projects involving end to end implementation of use cases based on Zero Knowledge Cryptography proof and developing robust system for industrial requirements.
• For one of my projects I worked on a blockchain powered supply chain management system for a well-known consumer goods corporation, working on following:
• Worked as a Node developer and worked on the rest server micro-service for the production level project
• Development involved extensive use of optimal designing and Object Oriented programming view of things
• Worked in Java, and implemented API and query calls to different micro-services and the PostgreSQL databases
• We also build MVPs for Zero Knowledge Proof based analytic projects, in which I am involved with the designing and implementation of the rest server (Java), UI (HTML and JS) and chaincode (Go) layers.

May 2017 – Jul 2017 · 2 mos · Bangalore

• Worked on development of a cloud-ready platform to enable quick and comprehensive understanding of data from industrial process. Platform served as a Decision Support System by providing real time view of system parameters through interactive visualisations. Got experience of developing an enterprise level tool and learned to design applications with proper modular and extensive architecture. Project helped me explore and use various modules and frameworks like Flask, Pandas, Sigma js etc. for development of front and back end.
• Received a Pre Placement Offer at the end of my internship.

May 2016 – Jun 2016 · 1 mo

• Developed an automated platform for searching and retrieving relevant news articles filtered based on a predefined set of parameters. Used Alchemy API and Opencalais API for text analysis and formulated mathematical constraints to yield relevance score of the given text.
• Offered another internship at IBM IRL for summer 2017.

Aug 2013 – Jul 2018 · 4 yrs 11 mos · Kharagpur Area, India

• Bachelors and Masters in Computer Science and Engineering.
• My master thesis work revolved around analysing "Distributed approach for SVM training for large datasets", in which we analysed various approaches for distributed SVM training like Parameter Averaging, Cascaded training, Bagging based training. We then proposed a Weighted Parameter Averaging technique which takes into account the non-uniform contribution of individual weight vectors as compared to the standard constant contribution. The performance improved drastically as the number of partitions of training data increased. We also implemented the Cascaded and Bagging based weight training via the approach proposed by Joachims et. al and compared it with the standard available implementation.
• My bachelor's thesis work was on "Mining Taxi Hiring Patterns in New York City", in which we carried out a study of the taxi hiring patterns in one of the busiest localities of NYC. The taxi hiring patterns showcased interesting results on the traffic trend of the locality and how an event or mass gathering can influence the same. We later used our analysis to predict number of dropoffs of taxi trips to predict approximate relative crowd mobility of an area at a particular time.
• Some of my other works include a project on "Characterisation and prediction of Amazon best sellers using Goodreads characteristics", which was published in GROUP '18 (link attached)