
Distributed Systems & HPC Researcher MS CS @ Stony Brook University, New York
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Stony-Brook-University
Data Scientist
June 28, 2026 – Present
Low-Latency-HTTP-Server-for-HFT
March 29, 2025 – March 30, 2025
A fault-tolerant, lightweight, low latency https server for handling concurrent requests with SSL/TLS mechanism.
View ProjectAgentic-AI-Trading-Platform
March 28, 2025 – April 5, 2025
Agentic AI for trading platforms with Reinforcement Learning and real-time data processing
View ProjectBig-Data-News-Recommender
January 13, 2025 – March 13, 2025
The Big Data News Recommender is a system designed to provide personalized news recommendations using big data technologies like Apache Kafka, Apache Spark, Redis, MongoDB, and Airflow. It processes large streams of news articles and user interaction data to suggest relevant news content to users.
View ProjectCUDA-Codes
October 14, 2024 – October 14, 2024
Developing CUDA Kernels in C++ for Nvidia GPUs.
View ProjectFault-Tolerant-Sharded-Key-Value-Store
October 12, 2024 – October 12, 2024
A distributed, fault-tolerant, persistent and sharded Key-Value store using leader-based state machine replication and consensus algorithm "Raft". Implemented 2 Phase Lock-Commit protocol.
View ProjectLeaderless-KV-Store-using-Tempo
October 12, 2024 – October 12, 2024
A distributed, fault-tolerant, persistent and sharded Key-Value store using leaderless state machine replication and consensus algorithm "Tempo""
View Projectsarasenterprises.github.io
October 10, 2024 – June 21, 2025
sarasenterprises.github.io — GitHub repository
View ProjectBlackjack-RL-Counting-Cards
October 9, 2024 – December 4, 2024
Reinforcement Learning project to learn card counting
View ProjectPolymorphic-Malware-Detection-and-Evasion
May 29, 2024 – May 29, 2024
A Research Project on Polymorphic Malware Detection and Evasion using GANs using Network Packet Dataset to create attack data
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards complex, distributed systems and advanced AI/ML applications. The diversity of projects, from low-level systems programming to big data and machine learning, indicates a broad technical curiosity and ability to tackle varied challenges. However, the candidate's experience level is listed as 0, and the only listed 'experience' is a future-dated role at Stony Brook University, which makes it difficult to assess real-world team collaboration or professional work ethic. The projects are all personal, which is good for demonstrating initiative but lacks insight into collaborative work environments. The target role is 'Data Scientist', and while many projects align, the heavy emphasis on distributed systems and C++ might suggest a broader interest than purely data science, or a strong engineering foundation for data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.