Google Cloud Data Analytics: BigLake

Google Compute Engine: Instance Manager

Worked with the Amazon Ads Exchange (AAX) team on streamlining the process of onboarding a new ads source and instituting a way to collect analytics on the total time spent on the process. I worked on creating a thorough standard operation protocol (SOP) for source onboarding to decrease the amount of time required to add and configure a new source.

• Worked on designing a Point-in-Time database that incorporated post-processed company/securities data generated from the raw archived data of past twenty years• Created robust RESTful and GraphQL APIs to make data concurrently accessible to a large number of clients• Worked as the engineer on-call for production related issues on a rotational basis• Developed an internally used product ground-up using .NET, PostgreSQL, GraphQL and Vue.js to maintain thousands of security-linked metadata, to provide a reliable UI for maintaining these records, and to expose the data through APIs serving a large throughput of clients• Worked on creating a new data workflow pipeline using Python (pandas, numpy, sqlalchemy) that improved the runtime of existing ingest/update jobs by more than 20%• Optimized memory footprints of Python workflows dealing with anywhere between 10 - 20 million database rows by half that resulted into significantly cutting the cloud storage cost• Conducted lunch-interviews and partook in interviewer panels for engineering applicants

• Designed and maintained the websites for University of Connecticut School of Fine Arts and Benton Museum• Administered the content management system for Benton Museum's record database• Provided IT support to faculties, classrooms, and exhibitions to ensure a reliable technical platform• Trained new hires to get them up-to-speed with the internally used software and technologies

I collaborated with Dr. John Ayers on researching better performing growth-platforms for semiconductor devices.In my work, I simulated and analyzed novel growth platforms for InGaAs/GaAs semiconductor devices. I implemented numerous simulation algorithms on MATLAB to analyze chirped and unchirped superlattice structures and quantify their performances.We simulated characteristics such as the average and surface strain, the surface in-plane lattice constant and threading dislocation density profiles for different superlattice structures. From our studies, we showed that - Chirped superlattices can serve as growth-platform with a 7%-46% Indium composition- Compositionally-chirped superlattices allow a wide range of surface in-plane lattice constant for the growth of devices while incorporating alternating local strains to enable dislocation filtering. - Thickness-modulated chirped superlattice can outperform unchirped superlattices and linearly-graded layers as dislocation filters.Based on the research, I authored four research papers that were published in IJHSES CMOC Journal, Journal of the Electrochemical Society (ECS), and International Journal of High Speed Electronics and Systems. I also presented research posters on our findings at the MIT IEEE Undergraduate Research Technology Conference in 2017 and at the Connecticut Optoelectronics and Microelectronics (CMOC) conference in 2017 and 2019.Find my publications on Google Scholar:http://scholar.google.com/citations?user=VLMVgH4AAAAJ

During this summer research opportunity, I investigated the use of Software Defined Radio (SDR) for real-time communication systems under the supervision of Dr. Shengli Zhou and Dr. Song Han at the University of Connecticut.I worked on developing a wireless ad-hoc network system capable of inter-computer message transfer by implementing IEEE 802.15.4 with AES Cipher Block Chaining (CBC) security protocol on an SDR platform. I used C++ (Boost, SWIG) to program signal-processing blocks on GNURadio to build the system's PHY and MAC layer. Python was used to implement the APP layer for the network.

• Worked with the engineers in the Voice and Multimedia department to automate the monthly caller data aggregation process that boosted employee productivity by getting rid of the time spent on tedious data look-ups in excel sheets• Collaborated with interns for a capstone project to build a prototype of a knowledge sharing platform to speed up the new-hire training process and easily share product-specific information within the company• Coordinated with the OAI-sys Voice and Multimedia team to implement RedSky E911 service in office spaces that can send precise locations during 911 calls

• Coordinated with the developers of the Personal Insurance department and designed a web-repository with Confluence Wiki that stored the metadata of all web services used across this department• Programmed data-driven tests on web services by using Groovy Script with SoapUI

• Tutored high-school juniors and seniors on Mathematics (Algebra, Geometry, Trigonometry), Physics, and Chemistry and answered any related questions on the topics• Held extensive lecture sessions to prepare students for SAT Mathematics