Software engineer and quantitative researcher working at the intersection of high performance systems and financial engineering.
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Assessing your cultural and operational fit
Servicenow
Data Scientist
June 13, 2026 – Present
pqc-dtls-riscv
December 1, 2025 – Present
PQC-enabled DTLS 1.3 implementation on bare-metal RISC-V using Kyber (ML-KEM) and Dilithium (ML-DSA) with wolfSSL.
View ProjectOperating-Systems-lab-cs-353
November 20, 2025 – November 20, 2025
Operating-Systems-lab-cs-353 — GitHub repository
View ProjectOption-Pricing-Greeks-Binomial-Trinomial-Tree-Models
October 2, 2025 – October 2, 2025
Python implementation of European and American option pricing using binomial and trinomial trees. Includes validation via put-call parity, sensitivity analysis (Delta, Vega), and dynamic hedging simulations. Features pricing of vanilla and exotic options with graphical insights into pricing trends.
View ProjectAFB3_NFT-marketplace
June 30, 2022 – July 10, 2023
AFB3_NFT-marketplace — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, spanning cryptography (PQC-DTLS-RISCV), finance (Option-Pricing-Greeks), web development (Metamask-Snaps, AFB3_NFT-marketplace), and operating systems. While this breadth shows versatility, the direct alignment with a 'Data Scientist' target role is moderate. Many projects are personal and do not explicitly demonstrate collaborative work or large-scale data science applications. The single listed experience as a Data Scientist at Servicenow is current but lacks details on responsibilities or achievements, making it difficult to fully assess cultural fit within a professional data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.