Home >

Abhishek Sankar

Pittsburgh, PA

Education

Carnegie Mellon University • Pittsburgh, PA
Master of Science • Artificial Intelligence and Innovation • GPA: 4.0
Expected graduation - May 2026

College of Engineering Trivandrum • Trivandrum, India
Bachelor of Technology • Computer Science & Engineering • GPA: 8.99/10
Graduated - July 2021

Skills

Programming Languages: Python, Java, JavaScript
Frameworks: PyTorch, FastAPI, React, TypeScript, Azure

Work Experience

Providence Global LLP – Senior Software Engineer

Hyderabad, India
August 2021 – July 2024

Developed client-side analytics for trusana.com, incorporating A/B testing, user cohorts, and end-to-end funnel tracking, resulting in a 9% increase in conversion rates within 4 months.
Reduced website load time from 12 seconds to a P99 under 3 seconds by implementing compression, bundle optimization, and lazy loading, leading to a 40% decrease in user dropoff before page load.
Developed the landing page on Trusana in under 2 weeks with AA accessibility rating, screen reader compatibility, and keyboard navigation support.
Led a team of 3 engineers to develop a platform from scratch to support hospital front-line workers.
Delivered a healthcare platform from scratch to MVP within 2 months and to full production in another 2 months, providing real-time support for over 500 caregivers.
Promoted within a span of 1.5 years for significant contributions to the techlab team, demonstrating the ability to swiftly learn new technologies (iOS development, E2E video calling, test planning) and deliver impactful MVPs.

Projects

Claude Computer Use - Customer Support Agent (Python, scikit-learn, PyTorch)

October 2024

A customer support agent based on Claude’s computer use API, as a proof of concept to help with sequential tasks.

ML Algorithms (Python, scikit-learn, PyTorch)

July 2024

Built linear and logistic regression models, decision trees, random forests, KNN, perceptrons, SVM, Naive Bayes, and PCA from scratch to deepen understanding of ML algorithms and model comparisons.
Implemented a movie recommendation system using custom TF-IDF vectorization for item-item and user-user similarities, achieving an accuracy of 75% on the ML-100k dataset.

Image Diffusion Model (Python, PyTorch)

September 2024

Implemented a diffusion model from scratch using a simplified UNet model for denoising in Python and PyTorch, including key components like the noise scheduler, forward diffusion, an L1 loss function, and a sampling function, for a small-scale proof-of-concept.

BERT Question-Answering System (PyTorch, Azure CR)

August 2024

Developed a BERT QA system fine-tuned on the SQuAD dataset, and deployed it on Azure Container Registry as an API.

Pittsburgh 2 Peers (React, .NET, Vercel)

June 2024

Built a community app (recorded demo) for incoming CMU students to coordinate activities such as rideshare matching, Costco visits, and shared U-Haul bookings, attracting over 600 active users within the first 3 months.

Achievements

IEEE Richard E. Merwin Scholar - One of 16 recipients globally of the R.E.M. Scholarship by IEEE Computer Society (Spring 2020) for academic and volunteering excellence.
Second Runner Up, Reboot Kerala | Healthcare Category - Out of 30+ district level winners, designed and built an ERP for better integrating therapy into daily life.
Winner, CS ISQIP, CoE, Chengannur - Out of 23 teams, built a system to improve the quality of life for ALS patients.
Rank 296, IEEE Xtreme 2020 - Placed 296th out of 3000+ participants in this annual global competitive coding contest by IEEE.
NTSE Scholar - One of 1000 students selected annually at the national level for academic excellence.

Leadership | Volunteering

Regional Student Ambassador, IEEE R10 IEEE Computer Society
September 2020 - August 2021
Student Representative, IEEE Computer Society Kerala Chapter
January 2020 - December 2020
Chairperson, IEEE Student Branch College of Engineering Trivandrum
February 2020 - January 2021

→