Sandeep Suresh Email & Phone Number

Menlo Park, Ca, Us

Spatial Runtime Team

San Francisco, California, Us

Lead technical pre-sale and post-sale discussions with Fortune 500 companies and SMBs alike

San Francisco, California, Us

- Architected and implemented the MAU Billing System, managing $200k+ ARR and 1.2M+ monthly logins. Coordinated with multiple departments to transition our 40k developers into a new system, bolstering our developer-centric GTM strategy. Utilized Stripe, Kubernetes, and MySQL.- Integrated our backend systems with Snowflake, processing over 100M+ events (piped through Segment), allowing our business functions to track key metrics such as: developer growth, monthly active user growth, and revenue (per product) growth. The success of this initiative catalyzed the formation of a new data team, which I advised to help get off the ground.- Led technical Sales and Customer Success calls with prospects and existing developers, addressing features, build challenges, and security stances. Represented Magic at US conferences, most notably presenting on key management and security at Amazon's Blockchain Developer Day, educating attendees on blockchain applications and our product's capabilities.- Developed and deployed smart contracts on Polygon for enterprise partners like Starbucks, 7-11, and Synchrony, leading to 300k+ NFTs minted and $50k MRR. Utilized Sanic, Aurora Serverless DB, and Solidity (Hardhat).

New York, Ny, Us

Worked under Bloomberg's Asset and investment manager department, building core features for Bloomberg’s calculation engine apis and services which compute over 40 million positions and published ~150 billion updates a day – a system built in C++ and tested with python3.

Seattle, Washington, Us

Currently working part time on Nordstrom's Computer Vision Platform, fleshing out various R&D projects that we hypothesize could lead to either a better customer experience or could deliver valuable insights into a high volume of products.

Seattle, Washington, Us

In collaboration with the Looks Creation Team, Asset Management Platform, and Data Science Team at Nordstrom, I created a machine learning model (Support Vector Machine) that is able to classify the patterns that are printed on any Nordstrom product using various techniques in Computer Vision. The model was able to make product substitutions in a curated look smarter by only substituting products of the same pattern (i.e. a plaid shirt only gets substituted in a look with a different plaid shirt). Additionally, the pattern model will be used to add metadata to all images in Nordstrom.com, enabling Nordstrom to rely less on Vendor metadata.- Pattern Classification Model performs at an 89% accuracy- Implemented in Python and aided by the frameworks, Resnet 50 and Sci-kit Learn- Live in production on Nordstrom.com- Able to classify 18 unique patterns - Helps Nordstrom move away from unreliable vendor data

As Corporate Chair for USC's Chapter of the Association for Computer Machinery, I foster relationships with corporate recruiters to create networking and recruiting events for all Computer Science Students at USC. Additionally, I broker sponsorship packages with different technology companies in order to create events on campus that give students various avenues to develop as software professionals, including Hackathons, Interview Prep, and hands-on workshops.

-Coordinate events within the University of Southern California between the Computer Science Majors and Industry professionals-Create technical workshops to expand the skillset of other Computer Science Majors on Campus (including Android/iOS/Web Development.)-Connect individuals on campus with technical job positions in local startups or corporations

In collaboration with USC's Initiative to Eliminate Homelessness, I created a website that conglomerates all the relevant resources for the student homeless population here at USC. Its data comes from USC, the city of Los Angeles, and the various national organizations with something to contribute. -Implemented in HTML/CSS/Javascript and Bootstrap Framework-100+ Monthly Active Users-Supported by the Dean of Social Work-Garnering information of the affected population to start a dialogue between different departments in the University (i.e. Financial Aid Office, USC Senate, etc.)

-Created an indirect memory allocation algorithm for RStor's storage system-Rewrote the Save, Load, and Delete functions. -Increased the amount of memory requests they could process on their system by a factor of three. -Tested the reliability/security of writes to the disk. -Implemented in Go-Structured around the Buddy Memory Allocation Theory-Pushed to the Rstor’s working Master Branch

I tutored kids from 9-18 in Math, Spanish, and English.

Berkeley, Ca, Us

Taught sections of Calculus to people taking the summer course. Helped students with any questions.

Bachelor’S Degree, Computer Science

Education record