Dhruv R.

Consultant

Mumbai, Maharashtra, India3 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building high-performance distributed systems.
Strong background in quantitative research and financial risk management.
Experience in teaching and mentoring in computer science courses.

Stackforce AI infers this person is a Fintech and Data Engineering specialist with a focus on high-performance systems.

Contact

Skills

Other Skills

Applied MathematicsArtificial Intelligence (AI)Assembly LanguageAutoCADC (Programming Language)C++Cascading Style Sheets (CSS)Compiler ConstructionData ScienceDeep LearningDerivative PricingDistributed SystemsEconometricsEquity DerivativesFinancial Accounting

About

Distributed systems engineer fascinated by the challenge of maintaining consistent operation under unstable conditions. I am interested in building high-performance systems for machine learning and networked infrastructure, with focus on adaptive runtimes, compiler optimizations, and cross-layer techniques for communication efficiency, scalability, and resilience. My experience spans building streaming algorithms, distributed databases, and low-latency pricing engines where performance and correctness guarantees must hold under stress.

Experience

Nomura

2 roles

Quantitative Researcher

Jun 2024 – Present · 1 yr 9 mos · Mumbai, Maharashtra, India

US Securitized Products Quant Research, Global Markets

Quantitative Researcher

Jan 2024 – Jun 2024 · 5 mos · Mumbai, Maharashtra, India

Yugabyte

Software Engineer

Jul 2023 – Dec 2023 · 5 mos · Bengaluru, Karnataka, India

Change Data Capture (CDC), CoreDB

Birla institute of technology and science, pilani

2 roles

Teaching Assistant

Jan 2023 – Jun 2023 · 5 mos · Pilani, Rajasthan, India

𝗖𝗼𝘂𝗿𝘀𝗲: Data Structures and Algorithms (CS F211)
𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗼𝗿-𝗶𝗻-𝗰𝗵𝗮𝗿𝗴𝗲: Dr. Jagat Sesh Challa
Served as TA for one of the largest CS core courses on campus (300+ students). Conducted weekly labs and office hours, designed programming assignments, ran debugging/algorithm tutorials, and evaluated large volumes of C coding submissions.
𝗖𝗼𝘂𝗿𝘀𝗲: Derivatives and Risk Management (ECON F354/FIN F211)
𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗼𝗿-𝗶𝗻-𝗰𝗵𝗮𝗿𝗴𝗲: Dr. Byomakesh Debata
Supported instruction in a 400+ student finance elective taken by both undergraduates and graduates. Redesigned tutorials to incorporate Monte Carlo pricing and numerical simulations, graded and provided feedback on projects/quizzes, and guided students in applying computational methods to finance.

Research Assistant

Jul 2021 – Jun 2023 · 1 yr 11 mos · Pilani, Rajasthan, India

𝗟𝗮𝗯: Advanced Data Analytics and Parallel Technologies Lab
𝗔𝗱𝘃𝗶𝘀𝗼𝗿: Dr. Jagat Sesh Challa
Conducted research on anytime algorithms for streaming data; explored applications to machine learning systems and large-scale data processing, co-authoring 𝗔𝗻𝘆𝗦𝘁𝗿𝗲𝗮𝗺𝗞𝗠.