Scaler
A fault-tolerant distributed computing framework built with Go, Kubernetes, and gRPC.
Posts by Collection
portfolio
Privacy-Preserving Computation
A distributed recommendation protocol combining zero-knowledge proofs and oblivious transfer.
TinyStories
A compact language-model experiment built around GPT-Neo, TinyStories, and transparent evaluation.
Expected Goals
A classification-driven study of football performance across World Cup and Champions League data.
GenericCoin
A blockchain implementation exploring proof-of-work consensus and transaction integrity.
Review-Based Recommendations
An applied ML project combining review sentiment with product and user similarity.
publications
Football performance evaluation using Classification Models
Published in Research Square, 2023
A statistical study of expected goals as a less noisy measure of football performance.
Zero Knowledge Bi-Party Computation Using Oblivious Transfers for Recommender Systems
Published in Research Square, 2023
A protocol combining zero-knowledge proofs and oblivious transfer so two parties can compute recommendations without disclosing private inputs.