Software Developer Intern (Machine Learning & Backend)

• May 2023 - Present

Leveraging data to provide targeted marketing using Machine Learning and Deep Learning Techniques. • Open-AI models: Finetuned OpenAI models such as curie, ada, and Babbage using internal data records. • Embedding Engine: Designed an embedding engine that creates embedding representations for prospects and salespeople, and gives the salespeople the most relevant prospects to talk to. • Backend Engineering: Developed a proxy server that interacted with various other microservices, and reduced the client load speed by more than 40% by leveraging technologies such as Redis, load balancing, and job queues. • Proprietary Deep Learning Algorithm: Developed a proprietary model that takes in Categorical, Numerical, and time-series data and beats the results of the SoTA model by 10%. • Data Engineering: Automated the movement of 2.5 billion rows of data per month to Google BigQuery. Wrote SQL scripts that sped up the movement process from 30+ hours to just 3 hours. • Security Engineering: Implemented various security measures such as data encryption on the Database, key rotation, password encryption salt, and Hardware Security Module, and proposed a Data Breach Handling Protocol in compliance with the Federal Trade Commission (FTC) recommended steps. Show less

Graduate Adjunct (TA) - CORE-UA 111: From Data to Discovery

• Sep 2022 - Present

TA under Prof. Hesam Oveys, teaching topics on Data Science, Statistics and Machine Learning.

Graduate Adjunct (TA)- MATH-UA.121: Calculus 1

• Sep 2022 - Dec 2022

Roles Include:· Hold recitation during the scheduled time and help students understand and practice the material taught during the lecture.· Holding office hours.· Prepare and grade materials such as quizzes and worksheets.· Help proctor and grade midterm and final exams.· Communicate and coordinate with the course instructor.

Member Of Technical Staff

• May 2022 - Aug 2022

· Deep Learning based Predictive pre-fetch: Predicts and prefetches the next page based on the user activity, reducing the load speeds by 35% and analyzed the feature with V8 stack traces and optimization phases to identify bottlenecks.· Performance log parser: Reverse-engineered Google chrome to understand how performance and function trace logs are parsed and devised a multi-threaded parser that reduced parsing time from 25 mins to about 1.5 minutes.

Project Trainee

• Jan 2022 - May 2022

· V8 compiler analysis: Assessed Zoho CRM performance, and inspected the function compilation, optimization, and performance on the V8 compiler. Advised steps to streamline the functions to improve API performance and minimize redundancy.· CPU throttling analysis: Developed a bash script to throttle CPU performance and analyzed the performance of Zoho CRM to detect about 150+ CPU heavy functions and persuaded for coding into lighter functions to minimize client load.

Chairperson

• Sep 2021 - Mar 2022

· Oversaw various national-level events under the banner of IEEE CS SBC.· Coordinated the organizing team and efficiently distributed work among them to conduct events in an organized manner.· Conducted a webinar on "Introduction to UI designing" to a crowd of about 110 participants.

Vice Chairperson

• Feb 2020 - Sep 2021

Developer (Founding Engineer)

• Feb 2020 - Nov 2021

· Ubuzz: Headed the development of a blog application with markdown support on Android. Designed an audience monitoring dashboard, and an editorial dashboard that allowed the 20+ internal editors in the company to publish articles seamlessly.· PlacementPrep: Headed the development of a mobile-based MOOC platform entirely. Developed audience monitoring and course management dashboards for the Edutech startup. Initially opened to 15+ universities, and then launched publicly.

Intern

• Nov 2019 - Jan 2020

· Developed E-Commerce (MOOC) android applications and supporting dashboards.· Designing and prototyping User Interfaces in Adobe XD.

Summer Intern

• Jun 2021 - Jun 2021

Designed and implemented an intelligent predictive-prefetch feature using Deep learning and other specially devised methodologies. Designed and implemented an intelligent predictive-prefetch feature using Deep learning and other specially devised methodologies.

Intern

• Jun 2020 - Jun 2020

Internship on cloud computing Internship on cloud computing