Anish Ashish Kasegaonkar

Product Manager

New York, New York, United States2 yrs 9 mos experience

Key Highlights

Competed at ICPC World Finals in 2023 and 2024.
Developed deep learning algorithms for environmental predictions.
Created tools for market data analysis at Tower Research.

Stackforce AI infers this person is a Quantitative Developer with expertise in financial technology and machine learning applications.

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Skills

Core Skills

Quantitative AnalysisC++Formal MethodsData AnalysisMachine LearningDeep Learning

Other Skills

AlgorithmsCompetitive ProgrammingData StructuresGRUJavaKerasKotlinLSTMMathematical ProofsMySQLPython (Programming Language)Statistical TechniquesTheorem Proving

About

I'm a quant developer with the North Moore trading team, at Tower Research Capital. I’m an Economics and CS graduate from BITS Pilani. I love problem-solving, and I've competed at the ICPC World Finals in 2023 and 2024.

Experience

2 yrs 9 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 5 mos

Current Experience

Tower research capital

Quant Developer

Jan 2025 – Present · 1 yr 5 mos · New York City Metropolitan Area · On-site

Working with the MFT team at North Moore on futures.

C++AlgorithmsData StructuresQuantitative Analysis

National university of singapore

Research Intern

Aug 2024 – Dec 2024 · 4 mos · Singapore, Singapore · On-site

Working on my undergraduate thesis - "Advancements in Formalizing Mathematical Proofs within the Lean 4 Theorem Prover" at the Centre for Quantum Technologies, NUS under Dr. Divesh Aggarwal.

Tower research capital

Quant Research & Development Intern

May 2024 – Jul 2024 · 2 mos · London Area, United Kingdom · On-site

Worked with the North Moore trading team at Tower Research at their London office, to create tools and libraries for managing, processing and analyzing historical and live market data, using machine learning algorithms and statistical techniques.

Machine LearningStatistical TechniquesData Analysis

Birla institute of technology and science, pilani

Teaching Assistant

Jan 2023 – May 2024 · 1 yr 4 mos · Pilani, Rajasthan, India

Teacher's Assistant for the following courses:
1. CS F111: Computer Programming (On-campus Course)
2. DM: Discrete Mathematics (BITS Pilani BSc CS Coursera Course) - Cohort 3 & 4

Indian institute of remote sensing (iirs), indian space research organization (isro)

Research Intern

May 2022 – Jul 2022 · 2 mos

Worked with Dr. Yogesh Kant to develop various deep learning algorithms such as Long Short-term Memory (LSTM) and Gated Recurrent Unit (GRU) to predict particulate matter concentration over India.

Deep LearningLSTMGRU