Anirudh Srikanth

Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Top 0.2% globally on CodeChef with a 6★ rating.
Top 3% globally on Codeforces with a peak rating of 1894.
Expert in solving complex technical challenges and optimizing systems.

Stackforce AI infers this person is a Fintech and EdTech professional with strong quantitative and software engineering skills.

Contact

Skills

Core Skills

Software InfrastructureQuantitative ResearchFinancial EngineeringFinanceCloud ComputingApi DevelopmentCompetitive Programming

Other Skills

AWSAmazon Web Services (AWS)Analytical SkillsAutomationBashC (Programming Language)C++Chalice AWSCommunicationComputationComputer ScienceData StructuresDatabasesDebateDebugging

About

SDE-2 at Trilogy Innovations, solving real-world problems at scale and delivering impactful software. Previously worked as a Quantitative Researcher at Intercontinental Exchange (NYSE). Top 0.2% globally on CodeChef (Rating : 2210 – 6★) Top 3% globally on Codeforces (Peak Rating: 1894 – Expert) Thrive in fast-paced, competitive environments where performance and precision matter I enjoy tackling complex technical challenges, optimizing systems, and continuously improving through hands-on problem-solving.

Experience

2 yrs 10 mos

Total Experience

9 mos

Average Tenure

11 mos

Current Experience

Trilogy innovations

2 roles

SDE - 2

Promoted

Jul 2025 – Present · 11 mos · Remote

SDE - 1

Apr 2025 – Jul 2025 · 3 mos · Remote

Software InfrastructureLarge Language Models (LLM)Problem Solving

Ice

Quantitative Researcher

Jun 2024 – Nov 2024 · 5 mos · Hyderabad, Telangana, India · Hybrid

Designed and implemented a flexible application responsible for risk factor construction in C++ for Exotic Futures as part of ICE’s IRM2.0 and IRM2.3 risk models.
Performed rigorous data analysis and backtests on risk factors generated from my application, ICE’s settlement data, and SuperDerivatives on various portfolios to check the performance of our margin models and the effectiveness of the implemented algorithms through tests like the Basel Traffic Light Test, Kupiec Test, Christoffersen Test, and Value at Risk Stress Tests over various historical volatility scenarios.
Leveraged yield curve construction to generate discount factors from SOFR swaps.
Leveraged Python to automate several database and portfolio generation tasks, increasing efficiency.

Quantitative ResearchPython (Programming Language)Statistical ResearchC++PostgreSQLFutures and Options (F&O)+5

Worldquant

Research Consultant

Oct 2023 – May 2024 · 7 mos · Remote

FinanceMathematicsQuantitative Finance

Trilogy innovations

Software Engineer Intern

May 2023 – Jul 2023 · 2 mos · Remote

Worked on building APIs that leverage Generative AI tools to produce educational content command customized to the student's curriculum, interests and history
Gained Experience of AWS , CI-CD, AWS Chalice, Python, Prompt Engineering
Received a full time offer for being in the top 5 performers in the internship!

Cloud ComputingAutomationReasoning SkillsMultithreadingDatabasesRepresentational State Transfer (REST)+18