Ajay Sohmshetty's Email Addresses & Phone Numbers

📖 Summary

Machine Learning Intern @ Bloomberg LP Built and trained models for the task of country economic sentiment analysis. Performed extensive data preprocessing, collection (using mechanical turk service CrowdFlower), modeling, and analysis. Utilized latest Python frameworks (Sklearn, Theano, Scipy, Numpy, etc.), and implemented/benchmarked both shallow and deep models, including Support Vector Machines, Logistic Regressions, Gated Recurrent Unit Recurrent Neural Networks (GRU RNNs), etc. From June 2016 to August 2016 (3 months) New York City, NYResearch Assistant (RA) @ Stanford University RA in the Computer Vision Geometry Lab (CVGL), pursuing research with Amir Zamir and Silvio Saverese. Research topics include: computer vision, transfer learning, cross-task domain consistency enforcement, task discovery. From January 2019 to April 2019 (4 months) Graduate Teaching Assistant (TA) @ Stanford University Fall 2016-2017 --- CS221, Artificial IntelligenceWinter 2016-2017 --- CS224N, Natural Language ProcessingSpring 2016-2017 --- CS224S, Spoken Language ProcessingFall 2018-2019 --- CS221, Artificial IntelligenceResponsibilities include: holding weekly office hours, grading assignments & final project reports, exam development, exam proctoring, leading section, etc. From September 2016 to December 2018 (2 years 4 months) Stanford, CAData Scientist @ Stella.ai - We successfully implemented an ensemble of recommender systems (content-based, collaborative-filtering-based, and heuristic-based) to match candidates with jobs, under a limited and noisy data setting. - Performed unsupervised learning (clustering) and supervised learning subtasks for prediction of: seniority level, functional area, functional titles, industry, and candidate qualification. - This involved extensive feature engineering (with collaboration customer success managers), negative sampling, distributed hyperparameter optimization (using Parzen Tree and Bayesian Optimization), feature ablation analysis, data annotation / augmentation, etc. - Led development of internal analytics platform to make customer success team more efficient and shed light on key metrics driving the business. Used daily by customer success and executive team. From January 2017 to January 2019 (2 years 1 month) Redwood City, CASoftware Development Engineer Intern @ Amazon.com, Inc. Worked on the rapidly growing Textbook Rentals team at Amazon’s headquarters in Seattle, WA in AWS environment (EC2, S3, SNS, SQS, etc.).Built highly scalable 2D PDF417 and 1D Code 128 barcode generation helpers, and SQS message queue handler on shipment creation to load Advanced Shipment Notification (ASN) to Fulfillment Center (FC).Helped to improve efficiency, reducing cost per unit, translating into a projected multimillion dollar per year savings. From June 2015 to September 2015 (4 months) Seattle, WACS106 Section Leader @ Stanford University Led a section of 8-12 students for the class CS106A: Programming Methodologies.Taught fundamentals of computer science, scored student exams and assignments, and staffed weekly office hours. From March 2014 to January 2015 (11 months) Stanford, CAFounder @ Myndbook Designed and developed a cloud-based note taking and mind mapping software using Ruby on Rails, Javascript, jQuery, jsPlumb, Facebook APIs, HTML, CSS, and other Javascript APIs. Applied for a patent on novel ideas.See https://myndbook.com/ for additional information. From May 2011 to September 2014 (3 years 5 months) Software Engineering Intern @ CliQr Technologies Startup acquired by Cisco for $260 million in April 2016.Implemented feature to allow clients to create and upload their own services and clouds, improving performance and scalability of the cloud management software product of this Google Ventures funded mature startup.Implemented several CliQr REST APIs and optimized database schema. Worked on full stack in AWS EC2 cloud environment.Developed a way using a combination of Java build tools Maven and Ant to package services into separate bundles, improving efficiency and space management.Developed admin client page for adding/updating services using various technologies including Backbone.js and jQuery. From June 2014 to July 2014 (2 months) Sunnyvale, CACofounder @ Stealth Startup Machine Learning Software Engineer @ Google From May 2019 to October 2020 (1 year 6 months)