Jul 2023 – Oct 2024 · 1 yr 3 mos · College Station, Texas, United States · On-site

• Crafted a language model for graphs, achieving state-of-the-art results in graph structure reasoning for LLMs
• Boosted computational efficiency by 80% over other LLMs with innovative intra- & inter-node attention masks
• Enhanced LLM interpretability for graphs by designing a virtual node to provide chain-of-thought reasoning

May 2023 – Nov 2023 · 6 mos · Houston, Texas, United States

• Enhanced Control Plane security for HPE GreenLake, the SaaS cloud division, by utilizing PSA Controller
• Implemented Calico as Kubernetes cluster backend, establishing network policies driven by pod labels
• Designed a Webhook Server to proactively prevent unsafe privileged pod creation, fortifying system security

Oct 2020 – Oct 2021 · 1 yr · Gurugram, Haryana, India

• Implemented low latency orders, reducing the time taken by the strategy to fire order on receiving trade updates by parallelizing computations and optimizing thread assignment to various processes by applying concepts of multi-threaded programming
• Improved the regression models and fundamentals for predicting price movements in the trading instruments
• Improved the efficiency of exchange simulator built in C++ with augmentation of certain features like Top Level Prediction using real time Trades, quantity masking, dissection book to better replicate market behavior.

May 2019 – Jul 2019 · 2 mos · Gurugram, Haryana, India

• Leveraged Data Mining and Machine Learning to predict optimal credit line for customers in case of recession
• Profiled customers into risk segments and deployed kNN model to determine credit limit in 6 recession scenarios
• Received full time offer based on my performance; Model achieved high accuracy of ≈ 90%